The document summarizes a study that investigated how genetically variable germination timing in Arabidopsis thaliana influences the evolution of plant life histories. The researchers grew recombinant inbred lines of A. thaliana under different photoperiod and geographic conditions to manipulate germination timing. They found that adult life history traits exhibited strong plasticity depending on season of germination. The season of germination also significantly altered the strength, mode, and direction of natural selection on life history traits. However, the average plastic responses to season were not adaptive. Genetic variation in germination timing increased genetic variation in adult traits but did not increase heritability due to also increasing environmental variation. Under some conditions, plasticity in response to genetically variable germination
Bactriophage history and their uses in environment Jayan Eranga
this is to describe what is bacteriophage is and what is their use as indicator organisms and important in treating for wastewater treatment systems. also it describes their replication cycles as well as their historic milestones too.
Vegetation diversity on coal mine spoil heapshow important is the texture of ...EdytaSierka
Biologia, 2019
The relationship between the size of the particle fractions of the soil substrate and the diversity of the spontaneously developing vegetation was investigated on coal mine spoil heaps in Upper Silesia (Southern Poland). The analyses were based on 2567 research plots of developed spontaneous vegetation and their associated soil substrate samples collected from 112 coal mine spoil heaps. For each research plot the prevailing particle size fraction was determined (stones, gravel, sand, silt), the species composition and abundance was recorded and the species richness (S), Shannon-Wiener diversity index (H′), Simpson (C) and Evenness (E) indices were used to determine species diversity. From a total of 119 research plots (in all particle size fraction categories), the values of 15 physicochemical properties (pH, electrical conductivity, water holding capacity, moisture, carbon content, total N, available P, Mg and exchange cations Ca, Mg, K, Na, fine particles (%), gravel (%), stone (%)) were obtained to asses their impact on the floristic composition of vegetation patches using Canonical Correspondence Analysis (CCA). Additionally, functional traits of the dominant species of each vegetation patch (life forms, life strategies and socio-ecological groups), were selected to analyse their relation to substrate texture. It was shown that the highest species richness and the highest values for Shannon-Wiener diversity index, as well as Simpson and Evenness indices, were obtained in plots formed on stones. Moreover, the greatest variation in the participation of species representing different habitats, life forms, and life strategies was found on gravelly substrates. Contrary to our expectations, the vegetation diversity (in terms of both species and their functional traits) was not highest in habitats with a high composition of fine size particles.
Genotype-By-Environment Interaction (VG X E) wth ExamplesZohaib HUSSAIN
Introduction
Phenotypic variation can be caused by the combination of genotypes and environments in a population. Genotypes are all equally sensitive to their environments, meaning that a change of environment would impact the phenotype of all genotypes to the same extent. In fact, genotypes very often have different degrees of sensitivity to environmental conditions. This cause of phenotypic variance is called genotype by- environment interaction and is symbolized by VG x E. This adds another term to the expression for the independent causes of total phenotypic variation in a population
Ve = VG + VE + VG xE
Ecades and ecotype - Ecades•introduction •Definition•Explanation•types of ecades , Ecotype, • introduction, •Definition ,•Ecotype VS. species ,•How did ecotype appear ,•From ecotype to species, •Example
گروه «مهرتن» تا به حال چهار دوره گروهدرمانی کاهش وزن برگزار کرده است که نتایج امیدبخشی برای درمان کاهش وزن به سبک عصبی-شناختی داشته است. این گزارش خلاصهی نتایجی است که ما از این گروهها به دست آوردهایم.
Bactriophage history and their uses in environment Jayan Eranga
this is to describe what is bacteriophage is and what is their use as indicator organisms and important in treating for wastewater treatment systems. also it describes their replication cycles as well as their historic milestones too.
Vegetation diversity on coal mine spoil heapshow important is the texture of ...EdytaSierka
Biologia, 2019
The relationship between the size of the particle fractions of the soil substrate and the diversity of the spontaneously developing vegetation was investigated on coal mine spoil heaps in Upper Silesia (Southern Poland). The analyses were based on 2567 research plots of developed spontaneous vegetation and their associated soil substrate samples collected from 112 coal mine spoil heaps. For each research plot the prevailing particle size fraction was determined (stones, gravel, sand, silt), the species composition and abundance was recorded and the species richness (S), Shannon-Wiener diversity index (H′), Simpson (C) and Evenness (E) indices were used to determine species diversity. From a total of 119 research plots (in all particle size fraction categories), the values of 15 physicochemical properties (pH, electrical conductivity, water holding capacity, moisture, carbon content, total N, available P, Mg and exchange cations Ca, Mg, K, Na, fine particles (%), gravel (%), stone (%)) were obtained to asses their impact on the floristic composition of vegetation patches using Canonical Correspondence Analysis (CCA). Additionally, functional traits of the dominant species of each vegetation patch (life forms, life strategies and socio-ecological groups), were selected to analyse their relation to substrate texture. It was shown that the highest species richness and the highest values for Shannon-Wiener diversity index, as well as Simpson and Evenness indices, were obtained in plots formed on stones. Moreover, the greatest variation in the participation of species representing different habitats, life forms, and life strategies was found on gravelly substrates. Contrary to our expectations, the vegetation diversity (in terms of both species and their functional traits) was not highest in habitats with a high composition of fine size particles.
Genotype-By-Environment Interaction (VG X E) wth ExamplesZohaib HUSSAIN
Introduction
Phenotypic variation can be caused by the combination of genotypes and environments in a population. Genotypes are all equally sensitive to their environments, meaning that a change of environment would impact the phenotype of all genotypes to the same extent. In fact, genotypes very often have different degrees of sensitivity to environmental conditions. This cause of phenotypic variance is called genotype by- environment interaction and is symbolized by VG x E. This adds another term to the expression for the independent causes of total phenotypic variation in a population
Ve = VG + VE + VG xE
Ecades and ecotype - Ecades•introduction •Definition•Explanation•types of ecades , Ecotype, • introduction, •Definition ,•Ecotype VS. species ,•How did ecotype appear ,•From ecotype to species, •Example
گروه «مهرتن» تا به حال چهار دوره گروهدرمانی کاهش وزن برگزار کرده است که نتایج امیدبخشی برای درمان کاهش وزن به سبک عصبی-شناختی داشته است. این گزارش خلاصهی نتایجی است که ما از این گروهها به دست آوردهایم.
Phan - analiza statyczna kodu z użyciem nowości PHP 7Tomasz Tybulewicz
Phan to nowy analizator statyczny kodu PHP. Korzysta z nowości w PHP 7 - drzewa składniowego (AST). Opowiem o moich doświadczeniach z codziennej pracy z tym narzędziem.
Why is it important to study reactions norms to understand phenotypi.pdfarrowmobile
Why is it important to study reactions norms to understand phenotypic plasticity?
Solution
Ans:
Phenotypic plasticity, the capacity of a single genotype to exhibit variable phenotypes in
different environments, is common in insects and is often highly adaptive. Phenotypic plasticity
is important because it expands the existing “genocentric” evolutionary theory, producing an
encompassing paradigm to explain life on earth. Plasticity was once considered “noise” but is
now widely recognized as potentially adaptive under a wide array of circumstances. As with any
major shift in scientific thinking, phenotypic plasticity engenders new ideas, causing us to ask
new questions and test hypotheses that would not otherwise be examined, leading us to
productive new scientific insights.
Phenotypic plasticity is counterbalance to mutation driven evolution: It is not surprising that
during the first half of the 20th Century, scientists, flushed with excitement about Mendelian
genetics, viewed evolution primarily as a mutational process. However, this bias largely ignored
an important reality of evolution – that natural selection selects not among genotypes, but among
phenotypes. Thus, the phenotype, and variation among phenotypes, plays a major role in
evolution. And, because the environment in which an individual develops determines its
phenotype, the environment also assumes a greater role in evolution, and may, in fact, produce
more viable phenotypic variation than do mutations. This is because mutations are not only rare,
but usually deleterious. In contrast, a single environmental factor may alter the phenotypes of an
entire population, providing natural selection with access to perhaps thousands of
environmentally altered individuals, as opposed to a single mutant individual. In addition,
mutations generally arise randomly with no correlation to specific environments, whereas new
environmentally induced phenotypes are both directional and highly correlated with the specific
new environment, allowing new environments to immediately produce and select among new
phenotypes.
Including phenotypic plasticity produces a better model: As suggested above, the inclusion of
phenotypic plasticity can result in a better model than mutation-allelic substitution alone in
explaining the production of organismal diversity. For example, the initial evolution of warning
color (aposematism), starting as a rare mutation is problematic because conspicuous prey should
be quickly found and removed by predators (Lindström et al. 2001). In contrast, evolution of
aposematism is easily explained by phenotypic plasticity (Sword 2002). Likewise, for
development, phenotypic plasticity explains the evolution of allometry and exaggerated
morphologies (Emlen and Nijhout 2000, Shingleton et al. 2007). For physiology, phenotypic
plasticity explains adaptive, beneficial plasticities such as acclimation and response to exercise
(Swallow et al. 2005), quite well. In ecology, it aids our un.
O R I G I N A L A RT I C L Edoi10.1111evo.13631Two d.docxamit657720
O R I G I N A L A RT I C L E
doi:10.1111/evo.13631
Two decades of evolutionary changes in
Brassica rapa in response to fluctuations in
precipitation and severe drought
Elena Hamann,1,2 Arthur E. Weis,3 and Steven J. Franks1
1Department of Biological Sciences, Fordham University, Bronx, New York 10458
2E-mail: [email protected]
3Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
Received March 27, 2018
Accepted October 5, 2018
As climate changes at unprecedented rates, understanding population responses is a major challenge. Resurrection studies can
provide crucial insights into the contemporary evolution of species to climate change. We used a seed collection of two Californian
populations of the annual plant Brassica rapa made over two decades of dramatic precipitation fluctuations, including increasingly
severe droughts. We compared flowering phenology, other drought response traits, and seed production among four generations,
grown under drought and control conditions, to test for evolutionary change and to characterize the strength and direction of
selection. Postdrought generations flowered earlier, with a reduced stem diameter, and lower water-use efficiency (WUE), while
intervening wet seasons reversed these adaptations. There was selection for earlier flowering, which was adaptive, but delayed
flowering after wet years resulted in reduced total seed mass, indicating a maladaptive response caused by brief wet periods.
Furthermore, evolutionary changes and plastic responses often differed in magnitude between populations and drought periods,
suggesting independent adaptive pathways. While B. rapa rapidly evolved a drought escape strategy, plant fitness was reduced
in contemporary generations, suggesting that rapid shifts in flowering time may no longer keep up with the increasing severity
of drought periods, especially when drought adaptation is slowed by occasional wet seasons.
K E Y W O R D S : Drought escape, global change, phenotypic plasticity, phenology, rapid evolution, resurrection study.
There is now abundant evidence that climate change and altered
precipitation patterns (IPCC 2014) trigger large-scale species
losses, shifts in vegetation communities, and evolutionary plant
responses (Parmesan and Yohe 2003; Jump and Penuelas 2005;
Parmesan 2006; Franks et al. 2014). Particularly well documented
are worldwide shifts in flowering time following advanced spring-
time (Menzel et al. 2006; Miller-Rushing and Primack 2008;
Cleland et al. 2012). While much of the shift in this trait may be
due to the direct effects of temperature on developmental rate,
some could be due to an evolutionary response to selection im-
posed by a warmer environment (Nicotra et al. 2010; Hoffmann
and Sgro 2011; Merila and Hendry 2014; Gugger et al. 2015;
Stoks et al. 2016). Phenotypic plasticity, in which organisms re-
spond to changes in environmental conditions, is itself ge.
O R I G I N A L A RT I C L Edoi10.1111evo.13631Two d.docxvannagoforth
O R I G I N A L A RT I C L E
doi:10.1111/evo.13631
Two decades of evolutionary changes in
Brassica rapa in response to fluctuations in
precipitation and severe drought
Elena Hamann,1,2 Arthur E. Weis,3 and Steven J. Franks1
1Department of Biological Sciences, Fordham University, Bronx, New York 10458
2E-mail: [email protected]
3Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada
Received March 27, 2018
Accepted October 5, 2018
As climate changes at unprecedented rates, understanding population responses is a major challenge. Resurrection studies can
provide crucial insights into the contemporary evolution of species to climate change. We used a seed collection of two Californian
populations of the annual plant Brassica rapa made over two decades of dramatic precipitation fluctuations, including increasingly
severe droughts. We compared flowering phenology, other drought response traits, and seed production among four generations,
grown under drought and control conditions, to test for evolutionary change and to characterize the strength and direction of
selection. Postdrought generations flowered earlier, with a reduced stem diameter, and lower water-use efficiency (WUE), while
intervening wet seasons reversed these adaptations. There was selection for earlier flowering, which was adaptive, but delayed
flowering after wet years resulted in reduced total seed mass, indicating a maladaptive response caused by brief wet periods.
Furthermore, evolutionary changes and plastic responses often differed in magnitude between populations and drought periods,
suggesting independent adaptive pathways. While B. rapa rapidly evolved a drought escape strategy, plant fitness was reduced
in contemporary generations, suggesting that rapid shifts in flowering time may no longer keep up with the increasing severity
of drought periods, especially when drought adaptation is slowed by occasional wet seasons.
K E Y W O R D S : Drought escape, global change, phenotypic plasticity, phenology, rapid evolution, resurrection study.
There is now abundant evidence that climate change and altered
precipitation patterns (IPCC 2014) trigger large-scale species
losses, shifts in vegetation communities, and evolutionary plant
responses (Parmesan and Yohe 2003; Jump and Penuelas 2005;
Parmesan 2006; Franks et al. 2014). Particularly well documented
are worldwide shifts in flowering time following advanced spring-
time (Menzel et al. 2006; Miller-Rushing and Primack 2008;
Cleland et al. 2012). While much of the shift in this trait may be
due to the direct effects of temperature on developmental rate,
some could be due to an evolutionary response to selection im-
posed by a warmer environment (Nicotra et al. 2010; Hoffmann
and Sgro 2011; Merila and Hendry 2014; Gugger et al. 2015;
Stoks et al. 2016). Phenotypic plasticity, in which organisms re-
spond to changes in environmental conditions, is itself ge ...
Biodiversity in Motion 1 Biodiversity in MotionAntoine CrowderJennifer Ott
ENV 300 Environmental Biology
July 27, 2014
In an ever changing world it benefits all to understand those changes affecting all areas of life in a rapidly expanding planet. Biodiversity is the variation that exists in the natural world at all levels of biological organization all organisms in a defined area, all of their variations and all of their interactions with each other and with the physical environment (Bandopadhyay, Yakoob, Sunny 2010). This paper shall explain Biological evolution, competition and ecological niches, food webs, geography, human population expansion and how humans can help conservationist with the many ecosystems in the world. The Measurement of Biodiversity is utilizes a variety of objective measures which have been established in order to empirically measure biodiversity Bandopadhyay, Yakoob, Sunny 2010). Each evaluation of biodiversity pertains to a particular use of the information. For practical conservationists, dimensions should consist of a quantification of principles that are commonly-shared among regionally impacted organisms, such as people. For others, a more financially defensible meaning should allow the guaranteeing of ongoing opportunities for both adaptation and future use by people, guaranteeing ecological durability. As a side impact, scientists claim that this evaluation is likely to be associated with the wide range of genetics. Since it cannot always be said which genetics are more likely to confirm valuable, the best option for conservationist is to guarantee the determination of as many genetics as possible. For ecologists, this latter strategy is sometimes regarded too limit as it prevents ecological sequence.
Environmental Conservation
Maintaining existing ecosystems benefits all life forms mainly because there is a clear relationship between the conservation of biological
Diversity and the discovery of new biological resources. The relatively small number of developed plant species currently being cultivated have been largely researched and selected for breeding. But there are many other plants presently being ignored and under-utilized food crops which have the potential to become important crops in the future. Local tribes usually use the crops and have knowledge of the uses of wild plants which makes them a good source for ideas on developing new plant products. Plants and animals are vital and undoubtedly an important part of the cultural life of humans.
Human cultures have thrived and evolved over time with their environment and biological diversity has proven to impart a distinctive cultural identity to different communities. Areas needing immediate intervention and protection for conservation of biodiversity are called Biodiversity Hot Spots. The IUCN and WWF are among ...
Environmental Science Table of Contents 37 L.docxYASHU40
Environmental Science Table of Contents
37
Lab 3
Biodiversity
Biodiversity
Concepts to Explore
• Biodiversity
• Species diversity
• Ecosystem diversity
• Genetic diversity
• Natural selection
• Extinction
Introduction
Biodiversity, short for biological diversity, includes the genetic variation between all organisms, species, and
populations, and all of their complex communities and ecosystems. It also reflects to the interrelatedness of
genes, species, and ecosystems and their interactions with the environment. Biodiversity is not evenly distrib-
uted across the globe; rather, it varies greatly and even varies within regions. It is partially ruled by climate,
whereas tropical regions can support more species than a polar climate. In whole, biodiversity represents
variation within three levels:
• Species diversity
• Ecosystem diversity
• Genetic diversity
It should be noted that diversity at one of these levels may
not correspond with diversity within other levels. The degree
of biodiversity, and thus the health of an ecosystem, is im-
pacted when any part of that ecosystem becomes endan-
gered or extinct.
The term species refers to a group of similar organisms that
reproduce among themselves. Species diversity refers to
the variation within and between populations of species, as
well as between different species. Sexual reproduction criti-
cally contributes to the variation within species. For exam-
ple, a pea plant that is cross-fertilized with another pea plant
can produce offspring with four different looks! This genetic
mixing creates the diversity seen today.
Figure 1: There are more than 32,000 species of
fish – more than any other vertebrate!
39
Biodiversity
Ecosystem diversity examines the different habitats, biological communities, and ecological processes in
the biosphere, as well as variation within an individual ecosystem. The differences in rainforests and deserts
represent the variation between ecosystems. The physical characteristics that determine ecosystem diversity
are complex, and include biotic and abiotic factors.
? Did You Know...
A present day example of natural
selection can be seen in the cray-
fish population. The British crayfish
are crustaceans that live in rivers in
England. The American crayfish
was introduced to the same bodies
of water that were already populat-
ed by the British crayfish. The
American crayfish are larger, more
aggressive and carry an infection
that kills British crayfish but to
which they are immune. As a re-
sult, the British crayfish are de-
creasing in number and are ex-
pected to become extinct in Britain
within the next 50 years. Thus, the
American crayfish have a genetic
variation that gives them an ad-
vantage over the British crayfish to
survive and reproduce.
The variation of genes within individual ...
Unit 1 [AC450 Advanced Accounting] Page 1 of 2 .docxwillcoxjanay
Unit 1 [AC450 Advanced Accounting]
Page 1 of 2
Research Assignment:
As we explore the role of the Security and Exchange commission on the business environment
(Chapter 12 Reading), we see that there are many rules and regulations that must be followed in
order for a publically traded business to operate in the United States:
Choose two laws and/or regulations that apply to United States public companies. Then
prepare a 2–3 page research paper in APA format and citation style addressing the following:
Checklist:
1. Describe each of the two laws and/or regulations.
2. Discuss the implications these laws and/or regulations have on the business environment.
3. Evaluate whether these laws and/or regulations are effective in achieving their intended
purpose.
4. Assess whether there are any changes or modifications necessary. If not, justify your reasons.
If so, briefly propose a solution to address the limitations.
Critical Elements:
● Write your original analytical essay in Standard American English. Please be sure to
include an Introduction, Body (addressing all the checklist items), and Conclusion.
● Pay special attention to correct grammar, style, and mechanics.
● Respond to the checklist items in a complete manner.
● Ensure that your viewpoint and purpose are clearly stated.
● Demonstrate logical and appropriate transitions from one idea to another.
● Your paper should be highly organized, logical, and focused.
Respond in a minimum of a 2–3 page APA formatted and citation styled paper and submit your
Assignment to the Unit 1 Assignment 2 Dropbox.
Unit 1 [AC450 Advanced Accounting]
Page 2 of 2
CHAPTER 1. COYOTE ENDOZOOCHORY OF PROSOPIS: CONSEQUENCES OF GUT PASSAGE, GERMINATION SUBSTRATE, AND SPATIAL PATTERNS OF DISPERSAL
ABSTRACT
Effective endozoochory requires that seeds maintain germinability after gut passage, that there is a suitable substrate for germination, and that animal dispersers deposit seeds in environments suitable for establishment. We sought to determine if coyotes (Canis latrans) are effective dispersers of western honey mesquite (Prosopis glandulosa var. torreyana) and screwbean mesquite (P. pubescens). Mesquites have increased their ranges over the past two centuries in southwestern North America and are among the dominant tree species at Ash Meadows National Wildlife Refuge, Amargosa Valley, NV, USA. We performed a laboratory experiment examining the effects of gut passage on seed germinability, conducted a field experiment comparing emergence from feces and soil, and developed spatial models of the distribution of coyote feces. Gut passage positively affected screwbean mesquite seeds through high rates of removal of seeds from their legumes and of germination, but had limited effect on honey mesquite seeds. However, only two screwbean mesquite seedlings and no honey mesquite seedlings emerged from 81 feces, while many seedlin ...
1. Society for the Study of Evolution is collaborating with JSTOR to digitize, preserve and extend access to Evolution.
http://www.jstor.org
Niche Construction through Germination Cueing: Life-History Responses to Timing of
Germination in Arabidopsis thaliana
Author(s): Kathleen Donohue, Lisa Dorn, Converse Griffith, EunSuk Kim, Anna Aguilera,
Chandra R. Polisetty and Johanna Schmitt
Source: Evolution, Vol. 59, No. 4 (Apr., 2005), pp. 771-785
Published by: Society for the Study of Evolution
Stable URL: http://www.jstor.org/stable/3449025
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2. Evolution, 59(4), 2005, pp. 771-785
NICHE CONSTRUCTION THROUGH GERMINATION CUEING: LIFE-HISTORY
RESPONSES TO TIMING OF GERMINATION IN ARABIDOPSIS THALIANA
KATHLEEN DONOHUE,1,2 LISA DORN,3,4 CONVERSE GRIFFITH,5'6 EUNSUK KIM,1'7 ANNA AGUILERA,3
CHANDRA R. POLISETTY,5 AND JOHANNA SCHMITT3'8
'Department of Organismic and Evolutionary Biology, Harvard University, 22 Divinity Avenue, Cambridge, Massachusetts 02138
2E-mail: kdonohue@oeb.harvard.edu
3Department of Ecology and Evolutionary Biology, Brown University, Box G-W, Providence, Rhode Island 02912
5T. H. Morgan School of Biological Sciences, University of Kentucky, Lexington, Kentucky40506
7E-mail: kiml2 @fas.harvard.edu
8E-mail: Johanna.Schmitt@Brown.edu
Abstract.-Germination responses to seasonal conditions determine the environment experienced by postgermination
life stages, and this ability has potential consequences for the evolution of plant life histories. Using recombinant
inbred lines of Arabidopsis thaliana, we tested whether life-history characters exhibited plasticity to germination
timing, whether germination timing influenced the strength and mode of naturalselection on life-history traits, and
whether germination timing influenced the expression of genetic variation for life-history traits. Adult life-history
traitsexhibited strong plasticity to season of germination,and season of germinationsignificantly alteredthe strength,
mode, andeven directionof selection on life-history traitsundersome conditions. None of the averageplastic responses
to season of germinationor season of dispersal were adaptive, although some genotypes within our sample did exhibit
adaptiveresponses. Thus,recombinationbetween inbredlineages createdsome novel adaptivegenotypes withimproved
responses to the seasonal timing of germination under some, but not all, conditions. Genetically based variation in
germinationtime tendedto augmentgenetic variancesof adultlife-history traits,butit did not increasethe heritabilities
because it also increased environmentally induced variance. Under some conditions, plasticity of life-history traitsin
response to genetically variable germinationtiming actually obscured genetic variationfor those traits.Therefore,the
evolution of germinationresponses can influence the evolution of life histories in a general mannerby alteringnatural
selection on life-history traits and the genetic variation of these traits.
Key words.-Dormancy, maternaleffects, naturalselection, phenotypic plasticity, seasonal cues.
Received October 25, 2004. Accepted January16, 2005.
The timing of seed germination is highly responsive to
environmental conditions. For a seed to germinate, certain
environmental conditions must be present to break dormancy,
and additional environmental conditions must exist subse-
quently to permit germination (Simpson 1990; Bewley 1997;
Baskin and Baskin 1998). The timing of germination can
therefore be a precise mechanism of habitat selection or niche
construction that determines the environment experienced by
the plant (Donohue 2003, 2005). If the environmental con-
ditions that elicit germination accurately predict the envi-
ronment experienced by adults, germination behavior has the
potential to influence the environment experienced by the
plant throughout its life. It can thereby influence the phe-
notypic expression of plastic postgermination characters and
the mode and strength of natural selection on those characters
(Donohue 2002).
Niche construction occurs when organisms alter the en-
vironment they experience (Odling-Smee et al. 1996), either
through direct habitat modification, habitat choice, or re-
source garnering and depletion (Bazzaz 1991; de Kroon and
Hutchins 1995; Huber et al. 1999). The environmental mod-
ification may be beneficial or not. In plants, perhaps the most
effective way to alter their environment is through phenotypic
4 Presentaddress:Departmentof Biology andMicrobiology, Uni-
versity of Wisconsin at Oshkosh, 800 Algoma Boulevard Oshkosh,
Wisconsin 54901; E-mail: dorn@vaxa.cis.uwosh.edu.
6 Present address:Calcasieu Ranger District, Kisatchie National
Forest, 9912 Highway 28 West, Boyce, Louisiana 71409; E-mail:
converse@cox-internet.com.
plasticity. The ability of plants to sense the environment also
provides them with some ability to respond to that environ-
ment in ways that can alter their exposure to it (Donohue
2003). Plastic environmental cueing of germination can be a
precise mechanism of habitat selection in plants that can
determine both biotic and abiotic conditions that germinants
experience (McCullough and Shropshire 1970; Hayes and
Klein 1974; Evans and Cabin 1995; Gutterman 2000; re-
viewed in Baskin and Baskin 1998).
Germination responses to cues that predict season, in par-
ticular, have the potential to influence the environment ex-
perienced by young germinants and also by adult plants. For
example, in winter annuals germination responses to warm
after-ripening followed by a brief cold period would indicate
autumn conditions in a temperate climate (Baskin and Baskin
1972, 1974, 1983, 1990; Baskin et al. 1992; Galloway 2001,
2002). The seedling or rosette would then be exposed to
winter conditions after seed germination. Alternatively, in
spring germinants exposure to a prolonged cold period as a
seed would indicate the passage of winter. The germinant
and rosette would then not be exposed to prolonged cold, but
spring and summer conditions would follow immediately af-
ter germination (Baskin and Baskin 1998; Galloway 2002;
Kalisz and Wardle 1994). Therefore, germination responses
to seasonal cues are likely to be especially important for
determining subsequent life-history expression and selection
on postgermination life-history characters because cues per-
ceived by seeds can predict conditions experienced by adult
plants.
771
? 2005 The Society for the Study of Evolution. All rights reserved.
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3. 772 KATHLEEN DONOHUE ET AL.
Niche construction has some interesting consequences for
life-history evolution. In particular, if life-history characters
respond plastically to the selected environment, and if that
ability to select the environment exhibits genetic variation,
plastic life-history characters can evolve even if they them-
selves do not exhibit any genetic variation within a particular
environment (Moore et al. 1997, 1998; Wolf et al. 1998,
1999; reviewed in Donohue 2003). That is, the genetic var-
iation for niche construction (e.g., germination cuing and the
environment that results from that) is essentially transferred
to the life-history character (e.g., flowering time) whose ex-
pression depends on that environment (e.g., the postgermi-
nation season). In addition, habitat selection can enable spe-
cialization of subsequently expressed characters to the se-
lected habitat (Levins 1968; Holt 1987; Rosenzweig 1987;
Brown 1990; Evans and Cabin 1995; reviewed in Donohue
2003), because exposure to other selective environments is
diminished. Therefore, plasticity in characters responsible for
niche construction, such as germination, can increase the ad-
aptation of subsequent characters to a particular postgermi-
nation environment.
To determine empirically the importance of niche con-
struction to life-history evolution in plants, we need to know
first whether life-history characters respond plastically to the
constructed environment. We also need to know whether the
"constructed" environment influences natural selection on
life-history characters and whether the expressed life-history
characters are specialized to their particular environment. Fi-
nally, the contribution of genetically based variation in hab-
itat-determining traits to genetic variation in life-history char-
acters needs to be determined. In this study, we consider
germination timing to be a habitat-determining character. We
tested whether postgermination life-history characters exhibit
phenotypic plasticity in response to the seasonal environment
experienced after germination. We also measured natural se-
lection on adult life-history characters in plants that germi-
nated in different seasons to determine which life-history
traits that were expressed in different postgermination sea-
sonal environments were adaptive in that particular environ-
ment. Finally, we determined whether genetically based var-
iation in germination timing augmented or diminished dif-
ferences among genotypes in life-history expression.
We used diverse recombinant inbred lines of Arabidopsis
thaliana in a field manipulation of geographic location and
season of seed dispersal to test how the importance of habitat
determination through germination varies with geography
and seed dispersal season. Arabidopsis thaliana, a highly self-
ing (Abbott and Gomes 1989) annual mustard, matures and
disperses seeds in both spring and autumn in New England
(see also Thompson 1994), and seasonal environmental fac-
tors influence germination timing. In companion papers, we
documented highly plastic and genetically variable responses
of germination timing to geographic location and season of
seed dispersal (Donohue et al. 2005a), and we showed that
germination timing explained a large proportion of the var-
iation in fitness among genotypes in some conditions but not
others (Donohue et al. 2005b). Here we examine indirect
effects of germination timing on fitness operating through
the phenotypic expression of postgermination characters and
through natural selection on those postgermination charac-
ters.
Artificially outcrossed segregants, such as those used here,
provide a powerful tool to investigate the adaptive conse-
quences of genetically possible phenotypes that may have
already been selected out of natural populations (Jordan
1991; Schemske and Bradshaw 1999). The use of recombi-
nant inbred lines enabled us to determine which life-history
responses were adaptive in each season of germination and
whether any novel adaptive genotypes existed after hybrid-
ization between natural lineages.
In this study, we first tested whether the expression of adult
life-history characters depended on the season of seed ger-
mination. We then determined whether natural selection on
life histories depended on the season of germination, and also
whether the observed plasticity of life-history traits in re-
sponse to season of germination was in the adaptive direction
for any genotypes in this sample of recombinant lines. Last,
we tested whether variation in germination timing altered the
degree of genetic variation expressed for postgermination
life-history characters.
MATERIALS AND METHODS
The Genetic Material
We used recombinant inbred lines derived from two ac-
cessions of A. thaliana: one from Calver, England (Cal), and
the other from Tacoma, Washington (Tac), with the Tac line
as the maternal parent. Seeds of Cal, were acquired through
the Arabidopsis Biological Resource Center at Ohio State
University (stock CS 1062), and Tac seeds were collected by
T. Mitchell-Olds. Please see Donohue et al. (2005a) for de-
tails on the lines and their maintenance.
Experimental Treatments
Experimental design. Seeds were matured under two pho-
toperiods that represent the photoperiods during late spring
and autumn when plants are maturing seeds in the field. The
seeds were then deposited (dispersed) into the field during
late spring (June) and autumn (November) in two sites: Rhode
Island (RI) and Kentucky (KY). In KY, natural populations
flower and disperse seeds only during the spring, so we dis-
persed seeds in the spring in KY. In RI, plants flower and
disperse seeds both during the spring and the autumn, so we
dispersed seeds in RI during the late spring and autumn. We
imposed different germination cohorts and monitored plants
that germinated during each season in each site and season
of dispersal. From this design, we quantified the effect of
germination season on life histories in the two geographic
locations by comparing seeds dispersed during June in KY
and RI, and we quantified the effect of germination season
in both seasons of seed dispersal by comparing the seeds
dispersed in RI during June and November. See Donohue et
al. (2005b, fig. 1) for the experimental design.
Maternal treatments.-Plants were grown in two batches
to provide seeds to be dispersed into the field during June
and during November. A total of 110 recombinant inbred
lines were available for the first planting for June, and 10
additional lines were available for the second planting in
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4. NICHE CONSTRUCTION THROUGH GERMINATION 773
November. In each planting, six replicates of each recom-
binant genotype were grown in a short-day treatment (10 h
of full-spectrum light followed by 14 h of darkness) and a
long-day treatment (14 h of full-spectrum light followed by
10 h of darkness) in Conviron E7/2 (Controlled Environment
Ltd., Pembira, ND) growth chambers at 220C. See Donohue
et al. (2005a) for details on the growing conditions. Seeds
were collected from each plant as they matured, and they
were pooled across replicates. Ten seeds from a given ge-
notype and photoperiod combination were put into separate
microcentrifuge tubes. Seed collection and processing took
three to four weeks, during which seeds were kept in cen-
trifuge tubes at 230C.
Field treatments. In both KY and RI, experimental gardens
were prepared in old-field sites. Peat pots of 2.25-in diameter
(Jiffy Poly-Pak, Jiffy, Products; wwwjiffyproducts.com) were
filled with sterile soil medium (Metromix 360; Scotts Sierra,
Marysville, OH) and planted into the blocks with approximately
5 cm between pots. The vegetation canopy was minimal at this
early successional stage in both sites, and the same soil was
used in both sites, so the primary difference between sites
was climatic. Three blocks were established in KY, and three
replicates of each genotype and photoperiod combination
were randomly assigned to each germination-cohort treat-
ment (see below) and randomly positioned within each block.
In RI, nine blocks were established for each season of dis-
persal. June-dispersal blocks alternated with November-dis-
persal blocks on the site. One replicate of each genotype and
photoperiod combination was randomly assigned to each ger-
mination-cohort treatment within each block, with the po-
sition of each being randomly assigned. To compare KY to
RI, blocks in RI were combined to give three blocks of the
same size as the KY blocks. Each tube of 10 seeds was poured
into its respective pot, which was then covered with a Mason
jar screen lid. Lids prevented mechanical disturbance but
permitted ambient environmental conditions (for more details
see Donohue et al. 2005a). For the June dispersal season,
seeds were dispersed in KY from 1 to 4 June 2001, and they
were dispersed in RI from 20 to 23 June 2001. For the No-
vember dispersal season, seeds were dispersed in RI from 3
to 6 November 2001.
Germination cohort treatment. For seeds dispersed in
June, three germination cohorts were established by plucking
all germinants from pots except those that germinated during
the correct randomly assigned season. One focal germinant
in each pot was randomly chosen from those remaining so
that competition between germinants did not occur. The ger-
mination cohorts were: summer (June through July), autumn
(August through January), and spring (after February). Two
germination cohorts existed for seeds deposited in November:
winter (November to January) and spring (after February).
To compare across dispersal seasons in RI, only seeds that
germinated during November and afterward in both dispersal
treatments were compared. These seasonal germination co-
horts correspond to peaks of germination in the field (Do-
nohue et al. 2005a).
When dispersed in June, some genotypes germinated only
during summer or during a subset of seasons (see Donohue
et al. 2005a, table 4). Therefore, germination cohorts fre-
quently comprised different sets of genotypes. When that was
the case, germination cohorts were also compared using only
the subset of genotypes that germinated in multiple seasons,
and results are presented in the text when they differed from
the analysis of the complete sample.
Phenotypic measurements. Each focal individual was fol-
lowed throughout its life. Its date of germination, date of
death, and the total number of fruits produced throughout its
life was recorded by censusing every week during the grow-
ing season. Total fruit production was used as an estimate of
fitness. The following life-history characters were recorded.
As a measure of the timing of reproduction, the interval be-
tween germination and bolting date, or bolting age, was re-
corded. It indicates a developmental switch from vegetative
growth to reproductive activity (Dorn and Mitchell-Olds
1991; Mitchell-Olds 1996). The interval between bolting and
the first date on which a flower was observed, or flowering
interval, was also recorded. Flowering interval is a measure
of the rate of inflorescence development. The size at repro-
duction was measured as the rosette diameter, or the largest
diameter on the day of bolting. Allocation to vegetative
growth after reproductive initiation was measured as the num-
ber of basal branches that were produced throughout the life
of the plant (number of basal branches). It is also an indicator
of overall size of the plant. Results did not differ if we an-
alyzed total branch number, so only results using basal
branches are provided.
Statistical Analyses
The effects of photoperiod, site, and season of seed dis-
persal on germination were presented in a companion paper
(Donohue et al. 2005a). To determine the effects of season
of germination, photoperiod, site, and season of seed dis-
persal on life history-characters, we used analysis of variance
(ANOVA; Proc GLM in the SAS; SAS Institute 1990). In-
dividual phenotypes were analyzed with block as a random
factor, nested in site or dispersal season, and with genotype
as a random factor. In addition, genotypic means were cal-
culated by pooling over blocks. Analysis of individual phe-
notypes and genotypic mean values produced very similar
results, so only results of the analyses of genotypic means
are provided. Photoperiod did not influence most traits, but
it interacted significantly with season of dispersal to influence
basal branch production of plants in RI (F = 7.11, df = 1,
P = 0.008). Because photoperiod did not significantly influ-
ence the other traits, and because the effect of photoperiod
was not significant for any treatment analyzed separately, all
subsequent analyses calculated genotypic means by pooling
over block and photoperiod. To analyze the effect of geo-
graphic location (site), seeds dispersed during June in KY
and RI seeds were analyzed, with germination cohort, pho-
toperiod, and site as fixed factors. To analyze the effect of
dispersal season, seeds dispersed in RI during June and No-
vember were analyzed in a separate model, with germination
cohort, photoperiod, and dispersal season as fixed factors.
Data were natural log-transformed to normality, and the re-
siduals of most analyses were normally distributed. When
they were not, we performed Kruskal-Wallis tests.
For seeds dispersed during June, some genotypes germi-
nated only during the summer (specialists) and others ger-
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5. 774 KATHLEENDONOHUEET AL.
TABLE 1. Results of analysis of varianceto test for effects of germinationseason (cohort) and site on life history, using seeds dispersed
duringJune. Genotypic means were used based on individual phenotypes pooled across block andphotoperiod.df (season) = 2, df (site)
= 1, df (interaction) = 2; N = 352. F-ratios are given for the full model and for the analyses within each site based on Type III sums
of squares. Effects of germination season were highly significant (P < 0.001) in both sites when based on Kruskal-Wallistests. Tests
for effects of site, within each germinationcohort, are based on Kruskal-Wallisx2. See Appendix 1 for the numberof genotypes in each
cohort and treatment.
Flowering Rosette No. basal
Source Bolting age interval diameter branches Total fruits
Full model
Germinationseason 142.30*** 57.86*** 92.91*** 26.19*** 156.44***
Site 107.41*** 13.67*** 0.43 3.57 30.80***
Germinationseason X site 218.22*** 45.57*** 3.05* 6.91** 107.21***
Effect of germination season in each site
Germinationseason in KY 72.73*** 15.49*** 17.53*** 10.05*** 294.41***
Germinationseason in RI 1442.85*** 110.90*** 232.01*** 58.33*** 48.96***
Effect of site in each germination season
Site in summer 50.66*** 34.88*** 0.08 0.40 83.18***
Site in autumn 17.10*** 0.67 5.86 20.74*** 20.33***
Site in spring 2.29 4.33* 2.00 4.68* 0.27
* P < 0.05, *** P < 0.001.
minated over multiple seasons (generalists). We compared
life histories of summer germinants of specialist versus gen-
eralist genotypes using ANOVA.
To test for environment-dependent natural selection on life
history, a phenotypic (Lande and Arnold 1983; Arnold and
Wade 1984) and a genotypic selection analysis (Mitchell-
Olds and Shaw 1987; Rausher 1992) were performed. Ge-
notypic selection analysis is preferable to phenotypic selec-
tion analysis because it controls for environmentally induced
correlations between phenotypes and fitness. Results did not
differ much between the two selection analyses, so only re-
sults of the genotypic selection analysis are presented. Rel-
ative fitness within each germination cohort in each site and
dispersal season was calculated as the total lifetime fruit pro-
duction divided by the mean fruit production within each
combination of site, dispersal season, and germination sea-
son. The life-history characters were standardized within each
treatment combination to have a mean of zero and standard
deviation of one. Linear and quadratic selection gradients
were calculated through multiple regression analysis. To test
for significant differences in selection across treatments, anal-
ysis of covariance (ANCOVA) was performed-which in-
cluded life-history traits (and their quadratics), treatments,
and interactions between traits and treatments to test for
differences in the slopes of the regression of life-history char-
acters on fitness across treatments. Specifically, differences
across germination cohorts were tested within each site and
dispersal season. Differences between site (using seeds dis-
persed in June only) and differences between dispersal sea-
sons (using seeds dispersed in RI only) were tested separately
in each germination cohort. Interactions between the life-
history trait and any treatment would indicate that selection
differed across treatments.
We tested whether genetically based variation in germi-
nation timing contributed to genetic variation in postgermi-
nation life-history characters. First, we calculated the residual
values of life-history traits from an ANCOVA with each life-
history trait as the dependent variable and germination date
as the predictor in each treatment. We then tested for sig-
nificant differences among genotypes for the residual values
of life-history traits and compared the differences among
genotypes to those based on raw values of life-history traits.
If differences among genotypes were smaller when based on
residuals (after factoring out the influence of germination
timing), then genetically based variation in germination tim-
ing can be considered to augment genetic variation in life-
history characters. To quantify this potential difference, total
phenotypic variance in life-history traits was estimated on
the raw characters and also on the residuals of the characters.
The percentage of the phenotypic variance that was explained
by variance among genotypes, or the genetic variance com-
ponent, was also calculated for raw phenotypes and for re-
siduals using Proc Varcomp in SAS (SAS Institute 1990).
The environmental variance was calculated as the total phe-
notypic variance minus the genetic variance. The ratio of the
genetic to the total phenotype variance is the heritability of
the trait. Significance of heritabilities was determined from
the significance of the main effect of genotype in an ANOVA
conducted separately within each treatment but pooled across
germination cohorts. We did not estimate genetic parameters
separately within each germination cohort because different
genotypes were represented in the different cohorts, severely
confounding the interpretation of environment-dependent ge-
netic estimates.
RESULTS
Plasticity of Life-History Characters in Response to
Season of Germination and Dispersal
Effects of germination season on fitness and life history.-
Germination season significantly altered total lifetime fruit
production, but its effect depended on geographic location
(site) and dispersal season (Tables 1, 2; Figs. 1, 2). In both
KY and RI, seeds that germinated in autumn had the highest
fitness, but the effect of germination season was stronger in
KY (Fig. 1). Plants in RI had higher fitness than those in KY
if they germinated in summer, but plants in KY had higher
fitness than those in RI if they germinated in autumn. Winter
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6. NICHECONSTRUCTIONTHROUGHGERMINATION 775
TABLE 2. Results of analysis of variance to test for effects of germinationseason (cohort) and season of dispersal on life history, using
seeds dispersed in Rhode Island. Genotypic means were used based on individual phenotypes pooled across block and photoperiod. df
(season) = 2, df (season) = 1, df (interaction) = 2; N = 328. F-ratios are given for the full model and for the analyses within each
dispersal season based on Type III sums of squares. Effects of germination season were highly significant (P < 0.001) in both dispersal
seasons when based on Kruskal-Wallistests. Tests for effects of dispersal season within each germination cohort are based on Kruskal-
Wallis x2. See Appendix 2 for the numberof genotypes in each cohort and treatment.
Flowering Rosette No. basal
Source Bolting age interval diameter branches Total fruits
Full model
Germinationseason 6164.67*** 99.42*** 174.09*** 0.33 106.86***
Dispersal season 80.20*** 78.35*** 103.02*** 10.56*** 25.34***
Germinationseason X dispersal season 14.26*** 92.30*** 0.45 1.34 31.06***
Effect of germination season in each dispersal season
Germinationseason in June 38.30*** 19.80*** 16.39*** 0.04 19.95***
Germinationseason in November 182.25*** 3.52 157.95*** 0.98 97.44***
Effect of dispersal season in each germination season
Winter 2.44 23.38*** 10.45** 0.23 3.59
Spring 73.54*** 1.71 72.79*** 0.00 16.70***
** P < 0.01, *** P < 0.001.
600
0
0 G~.
Sum Aut Spr Sum Aut Spr
250
< nslKY RI
2?50 G
G I-
ns E~~~~~~~~~~~~~n
C) E 40 T.~
_0 S~~~~~~~~~~~'2
Cm150
0) E~~~~~~~~~~~~~
0 (D~~~~~~~~~~~~~~~~~~~
S ns ~ ~ ~ ~ ~ ~ ~ s~
0)~~~~~~~~~~~~~~~~~~~~~
40 0
Sum Aut Spr Sum Aut Spr Sum Aut Spr Sum Aut Spr
KY RI KY RI
FIG. 1. Total lifetime fruit production and life-history traits of plants from seeds dispersed during June in Kentucky (KY) and Rhode
Island (RI). Germinationseasons are summer,autumn,and spring. S indicates the mean value of specialist genotypes, which germinated
only in the summer;and G indicates the mean value of the summer germinantsof generalist genotypes, which germinated in multiple
seasons. Means and untransformedstandarderrorsare indicated. Asterisks indicate significant differences between summer-specialist S
genotypes and generalist G genotypes. The numberof specialist and generalist genotypes (5, G) were as follows. KY: total fruits = 27,
32; bolting age = 21, 32; flowering interval = 11, 25; rosette diameter = 24, 32; basal branches = 4, 19. RI: total fruits = 6, 54; bolting
age = 4, 40; flowering interval = 2, 35; rosette diameter = 3, 50; basal branches = 6, 53. ns, not significant; **P < 0.01.
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7. 776 KATHLEEN DONOHUE ET AL.
100
80
60
0 40
20
0
Jun. Jun. Nov. Nov.
Winter Spring Winter Spring
Cn 120 ET2
_ 30~~~~~~~~~~~~~~~~~~~~1
m mUX)
0 ~~~~~~~~~~~~~~~ 0
3) 0
coE
CU) Co .
4~0 a)
Jun. Jun. Nov. Nov. Jun. Jun. Nov.Nov.C
4-' .~~~~~~~~~~~~0
0 ~~~~~~~~~~~~04
30
U-
Winter Spring Winter Spring Winter Spring Winter Spring
FIG. 2. Total lifetime fruit production and life-history traits of plants from seeds that were dispersed in Rhode Island during June and
November. Germinationseasons are winter and spring. Means and untransformedstandarderrorsare indicated.
germinants had higher fitness than spring germinants in both
seed dispersal seasons, with winter germinants dispersed in
June having the highest fitness (Fig. 2).
Germination season also influenced life-history expression
(Table 1, Fig. 1). In KY, spring germinants were fastest to
reach reproductive maturity (shortest bolting age), but they
were the smallest (small rosettes and few branches). Summer
germinants were slowest to reach reproductive maturity, but
their slow development did not result in their being the larg-
est. Rather, autumn germinants developed at an intermediate
rate and were the largest, most fit plants in KY. In RI, autumn
germinants were the most slowly developing cohort, ger-
minating and sometimes bolting in the autumn but flowering
in the spring, while summer and spring germinants were com-
parable, since many of them reproduced in the same season
in which they germinated. The slowly developing autumn
germinants were larger than spring germinants (had larger
rosettes and more branches). Summer germinants were also
larger than spring germinants, most likely due to the longer
growing season between germination and bolting.
Differences in plants grown in KY and RI depended on
the season in which they germinated (Table 1, Fig. 1). For
example, differences in bolting age between KY and RI were
far more pronounced in summer germinants than in autumn
or spring germinants. Therefore, the season of germination
can influence the degree to which adult life-history characters
vary geographically.
Effects of dispersal season on life history. Dispersal and
germination season interacted to influence life-history ex-
pression (Table 2, Fig. 2). For example, spring germinants
from seeds dispersed in November bolted later (F = 45.26,
df = 1, P < 0.001) and at a larger size (F = 33.89, df = 1,
P < 0.001) than those dispersed in June, even when only the
67 genotypes that germinated in both dispersal cohorts were
analyzed, and even when differences in germination timing
within a season were controlled for. Winter germinants from
seeds dispersed in November also bolted at a larger size than
those from seeds dispersed in June (Table 2, Fig. 2), and this
difference was significant even when only the 16 shared ge-
notypes that germinated from both dispersal cohorts was an-
alyzed, correcting for differences in germination timing with-
in the season (F = 8.92, df = 1, P < 0.01). Thus dispersal
season influenced life history through mechanisms other than
influencing germination timing; the pregermination condi-
tions experienced by seeds apparently influenced develop-
ment and growth rates of germinants.
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8. NICHECONSTRUCTIONTHROUGHGERMINATION 777
TABLE 3. Analysis of covariance to test for differences in selection across treatments.The left two columns are results of tests for
differences in selection among germination cohorts within each site. The middle three columns show results of tests for differences in
selection across site within each germinationcohort. The last two columns areresults of tests for differences in selection across dispersal
season within each germinationcohort.F-ratios arebased on Type III sums of squaresandindicate the F-ratio for the interactionbetween
the trait (or its quadratic) and the treatment.F-ratios to test for differences in quadratic selection are given in parentheses. N is the
numberof genotypes in the analysis. NE, not estimable due to small sample size.
Across dispersal season
Across germination cohort Across site Kentucky vs. Rhode Island (June vs. November)
Trait Kentucky Rhode Island Summer Autumn Spring Winter Spring
Bolting age 5.38** 8.31*** 7.22** 1.60 2.19 2.79t 0.63
(quadratic) (390.31***) (2.36t) (243.94***) (1.93) (NE) (1.07) (1.52)
Flowering interval 0.01 2.60t 0.00 0.65 0.20 0.04 14.09***
(quadratic) (5.78*) (1.70) (3.16t) (0.13) (NE) (1.67) (5.10*)
Rosette diameter 6.47** 1.64 8.79** 2.86t 0.00 15.15*** 6.43*
(quadratic) (303.74***) (0.42) (188.15***) (6.27*) (NE) (6.16*) (6.52*)
No. basal branches 0.20 5.15** 0.26 0.06 0.05 0.24 0.78
(quadratic) (0.45) (1.65) (0.43) (12.38***) (NE) (4.04*) (0.04)
N 96 180 60 150 66 138 183
t P < 0.1, * P < 0.05, ** P < 0.01, *** P < 0.001.
Natural Selection on Life-History Traits
Effect of germination season on natural selection.-The
strength and mode of natural selection on life-history traits
depended on the season of germination in both KY and RI
(Table 3, Fig. 3; see Appendix I for selection coefficients).
In KY the strength of selection varied across germination
cohorts, whereas in RI the direction of selection also changed.
In KY (Fig. 3, upper panels), most summer germinants did
not produce fruits, but a very small number produced many
fruits. This led to statistically significant, but likely not bi-
ologically significant, stabilizing selection that favored in-
termediate bolting and flowering rates, and disruptive selec-
tion that disfavored intermediate sized rosettes only in sum-
mer germinants. In RI (Fig. 3, lower panels), summer ger-
minants were selected to bolt quickly, in contrast to spring
germinants, which were selected to delay bolting. Selection
to allocate resources to branch production was detected only
in autumn germinants, in contrast to spring germinants, which
were selected only to be larger at the time of reproduction
rather than to increase in size after reproduction as well.
Specialist versus generalist germinants.-In KY, the spe-
cialist genotypes that germinated only in summer had higher
fitness than generalist genotypes (those that germinated in
multiple seasons) when they germinated in summer (Fig. 1).
They also had smaller rosettes and shorter flowering intervals.
Flowering interval was not under selection in summer ger-
minants in KY, but when variation in rosette diameter and
its quadratic were controlled for, the fitness difference be-
tween generalist and the specialist summer germinants was
no longer significant (F = 0.07, df = 1, P > 0.05). Therefore,
the smaller size at bolting of specialist summer germinants
was closer to the putative optimum than that of generalist
germinants in KY, and it fully accounted for the fitness ad-
vantage of the specialists. It should be noted, however, that
the observed fitness difference between specialist and gen-
eralist genotypes in KY depends on a very small number of
genotypes that produced any fruits at all. No significant dif-
ferences in fitness or life history were detected between spe-
cialist and generalist germinants in RI, in part because of the
small number of specialist genotypes (Fig. 1).
Effect of dispersal season on selection. Natural selection
on some life-history traits, and the effect of germination sea-
son on selection, depended on the season of seed dispersal
(Table 3, Fig. 4; see Appendix 2 for selection coefficients).
Seeds dispersed in June (Fig. 4, upper panels) were under
stronger selection for reproduction at a larger size, and seeds
dispersed in November (Fig. 4, lower panels) were under
stronger selection for postreproductive vegetative growth
through branch production. The only significant difference
between selection on winter versus spring germinants was
that disruptive selection on rosette size was significantly
stronger in winter germinants than in spring germinants, but
this was true only if seeds were dispersed in November (F
= 5.04, df = 1, P < 0.05; other nonsignificant results are
not shown).
Adaptive Significance of Plasticity of Life-History Traits
Plasticity to season of germination. The observed plas-
ticity of life history in response to season of germination was
not adaptive in KY because the direction of natural selection
on each trait was consistent across all germination cohorts
(Table 3, Appendix 1). While some phenotypes were adap-
tive, such as many basal branches in autumn germinants, the
plastic responses themselves (i.e., the phenotypes expressed
in the other season) were not.
In seeds that were dispersed in RI during June, most of
the observed plastic responses to germination season were
not adaptive. For example, the adaptive response of bolting
age would be to exhibit early bolting in summer germinants
and late bolting in spring germinants (Appendix 1). Bolting
was in fact accelerated in spring germinants, so the observed
response was not adaptive. However, 66 of 106 genotypes
exhibited appropriate bolting responses. Of those with ap-
propriate bolting responses, six maintained large rosettes
(which was adaptive; specifically, they were among the 20%
of the genotypes with the largest rosettes) in summer and
autumn, six maintained large rosettes in summer and spring,
five maintained large rosettes in autumn and spring, but only
two maintained large rosettes across all germination seasons.
Five genotypes with appropriate bolting also produced many
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9. 778 KATHLEEN DONOHUE ET AL.
* Summer Kentucky(June)
Kentucky(June) 0) Autumn
60 50-
Summer:stabilizing v Spring Summer:directional+
Autumn: ns 40 disruptive***
50
-i Autumn: ns
Cl) 30 -
40
-20-
0 10t f 0 2
' Summer
10
0 ~~~~~~~I0000
0 0 Summer 0 Autumn
0~ ~~~~~~~~~9 -10
-2.5 -2.0 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 -2 -1 0 1 2 3
Boltingage Rosette diameter
Rhode Island(June) Rhode Island(June)
8 - 8
V ~~~~~~~~~V
Summer:directional** Summer:directional+
6 Autumn: ns 6
v
Autumn: directional***
Spring: directional. Spring: ns
disruptive* 0 0
C 4 - CO 4
5 ~~~~~~~0o
0 =300
2 0 0~~~~~~~00 Spring - ~ 0 00 Summer
O 2;0p SV )3 4?9 2QS 4 Spring
Autumn
-6 -4 -2 2 4 -2 -1 0 1 2 3 4
Boltingage Branches
FIG. 3. Scatter plots of relative fitness versus residuals of life-history traits for plants grown in Kentucky (upper) and Rhode Island
(lower) from seeds dispersed in June. Residuals were obtained from a regression of the life-history trait against all other life-history
traitsused in the selection analyses to indicate the strengthof the association between the traitandfitness aftercontrolling for correlations
among traits. The relationship reflects the approximatestrengthof direct selection (P) on the trait, although effects of the quadraticsof
correlated traits are not factored out. The significant stabilizing and disruptive selection in Kentucky was due to the outliers. Too few
spring germinants were available for analysis in Kentucky, so they are not shown. ns, not significant; +P < 0.1; *P < 0.05; **P <
0.01; ***P < 0.001. (See Appendix 1 for selection gradients.)
branches (adaptive) if they germinated in either summer or
autumn. Only three genotypes that had adaptive bolting re-
sponses also exhibited both favorable rosette diameter and
branch production, and only one of those exhibited the fa-
vorable flowering interval as well. Only four genotypes were
able to exhibit adaptive responses in multiple traits in both
sites.
In seeds dispersed in RI during November, the direction
of natural selection did not change with germination season
for any trait (Table 3, Appendix 2), so the observed plasticity
in these traits was not adaptive. The adaptive response would
be to maintain large rosettes and many branches across all
germination seasons. Six genotypes maintained large rosettes
and six maintained high branch production across all ger-
mination seasons. None were able to do both.
Plasticity to dispersal season. The direction of selection
on all measured life-history traits did not differ significantly
across dispersal season, so plasticity to season of dispersal
would not be adaptive. The larger rosettes of plants from
seeds dispersed in November were more adaptive than those
of seeds dispersed in June, and maintaining large rosettes and
many branches regardless of dispersal season would be the
adaptive response. One genotype was able to maintain branch
production in both dispersal seasons, but no genotypes main-
tained the largest rosettes in both dispersal seasons.
The Contribution of Germination Timing to Genetic
Variation in Life-History Taits
Genetic variation was detected for many life-history traits
when pooled across all germination cohorts (Table 4). In KY,
significant genetic variation was detected for all traits except
flowering interval. In seeds dispersed during June in RI, sig-
nificant genetic variation was detected only for basal branch
production. In seeds dispersed during November in RI, sig-
nificant genetic variation was detected in all traits except
bolting age.
When variation in life-history traits due to variation in
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10. NICHE CONSTRUCTION THROUGH GERMINATION 779
Winter *
Rhode Island,June Spring Rhode Island,June
8 -8 -
o 0
Winter:directional* 0 Winter:ns
6 disruptive* 6 Spring:ns
Spring:directional**
6
U,) 0l
disruptive+
0 00 0S 0n f
-0 0
I> 2 a Spring H
0 0 0
nter
o l 1 020- I0Wnter
A. ~~~~~~~Winter
o~~~~~o~~~~~pri Z 7~pin
-4 -3 -2 -1 0 1 2 3 -2 -1 0 1 2 3 4 5
Rosette diameter Branches
Rhode Island,November RhodeIsland,November
4 - 4 -
0~~~~~~~~~~~~~~~~~~~~~~~
Winter:directional* Winter:directional**
30 disruptive* 32f Spring:directional*
Spring:directional'* 0 0
2- 0 0 =3 2- 0 0
49 0 o~~~~~~*c 9o* Spring,0
'FU ~~~0o 0 .0 ~ Winter
0 0 0
5 aj Winter
0 0 0 000000 0 0
0 0~~~ ~~~~0930
-4 -3 -2 -1 0 1 2 3 -2 0 2 4 6
Rosette diameter Branches
FIG. 4. Scatterplots of relative fitness versus residuals of life-history traitsfor plants from seeds dispersed in Rhode Island duringJune
(upper) and November (lower). See legend of Figure 4 for explanation of residuals. ns, not significant; +P < 0.1; *P < 0.05; **P <
0.01; ***P < 0.001. (See Appendix 2 for selection gradients.)
germination timing was factored out, genetic variances and
heritability estimates changed (Table 4). In KY, heritabilities
of bolting age and rosette diameter increased in magnitude,
while the heritability of basal branch production decreased
slightly. The increased heritability of bolting age based on
residual values was due to both an increase in genetic vari-
ation and a decrease in environmentally induced variation.
Plasticity of bolting age in response to germination timing
caused genotypes to resemble each other more in bolting age,
thereby decreasing genetic variation for bolting age. In ad-
dition, environmentally induced variation in germination tim-
ing magnified environmentally induced variation in bolting
age. For rosette diameter, genetic variance did not change
much when variation due to germination was factored out,
but environmental variance declined. In contrast, for branch
production, genetic variance declined slightly and environ-
mental variance increased slightly, leading to lower herita-
bilities when based on residual values. In RI June-dispersed
seeds, genetic variances for all characters decreased when
variation due to germination timing was factored out. How-
ever, environmental variance was also reduced in most cases,
so heritability estimates for all characters decreased only very
slightly. For November-dispersed seeds, genetic variance of
residuals was usually lower or remained very similar to that
based on raw values, and environmental variances of resid-
uals were also usually smaller or very similar.
The results indicate that for the majority of cases, in which
genetic variance decreased when germination timing was
controlled for, genetic variation in germination timing aug-
mented genetic variation in life-history traits. In those cases
in which heritability estimates increased when germination
timing was controlled for, plasticity to germination timing
apparently caused genotypes to resemble each other more
closely, and environmentally induced variation in germina-
tion augmented environmentally induced variation in the life-
history trait. Therefore, plasticity in response to genetically
variable germination timing can either augment or diminish
genetic variation and heritability of life-history traits.
DISCUSSION
Life-history traits responded plastically to season of ger-
mination in both geographic locations and in both seasons
of dispersal. The season of germination also influenced the
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11. 780 KATHLEENDONOHUEET AL.
TABLE 4. Genetic variationfor life-history traits and the contributionof germinationtiming to genetic differences in life-history traits.
Significance levels arebased on analyses of variancethattest for significant genotype effects using raw values or residuals afterfactoring
out effects of germinationtiming. Vg, the genetic component of variance;Ve, environmentalvariance, calculated as the total phenotypic
variance (Vp) minus the genetic variance; h2,broad sense heritability, defined as Vg/Vp.Values were calculated separatelyfor each site
and season of seed dispersal.
Raw values Residuals
Trait Vg Ve h2 Vg Ve h2
Kentucky, June
Bolting age 712.380 972.17 0.42*** 744.22 266.83 0.74***
Flowering interval -0.33 0.95 0.00 -0.34 0.96 0.00
Rosette diameter 0.20 0.15 0.56*** 0.21 0.08 0.72***
Basal branches 0.69 0.19 0.78** 0.66 0.25 0.73
Rhode Island, June
Bolting age 4073.35 43.33 0.99 1995.16 39.67 0.98***
Flowering interval 0.24 0.3 0.44 0.17 0.28 0.38
Rosette diameter 0.50 0.06 0.89 0.20 0.06 0.77
Basal branches 0.78 0.08 0.91* 0.61 0.09 0.87
Rhode Island, November
Bolting age 1908.53 291.03 0.87 182.42 31.06 0.85
Flowering interval 0.29 0 1.00*** 0.30 0 1.00**
Rosette diameter 0.21 0 1.00*** 0.17 0.01 0.94***
Basal branches 0.16 0 1.00*** 0.22 0 1.00**
* P < 0.05, ** P < 0.01, *** P < 0.001.
strength and mode of natural selection on life-history char-
acters. In no case was the plastic response of life-history traits
to season of germination adaptive in these recombinant lines,
despite adaptive phenotypes being expressed by some ger-
mination cohorts. However, a modest number of genotypes
did express adaptive responses to germination season in some
traits, although very few were able to express adaptive re-
sponses in more than one treatment. Moreover, genetic var-
iation in germination timing sometimes altered genetic var-
iation in life-history traits because these life-history traits
exhibited plasticity to season of germination.
Plasticity of Life History in Response to Germination
The observed plasticity of life-history traits in response to
the season of germination indicates that germination timing
alters the environment experienced by postgermination life
stages in a lasting manner. Therefore, not only does germi-
nation timing influence the survival of young seedlings (Biere
1991; Gross and Smith 1991; Simons and Johnston 2000;
Donohue et al. 2005b), but it has persistent effects on adult
life stages as well. The season of germination has been known
to alter basic life-history expression in other systems, deter-
mining whether plants will be annuals as opposed to biennials
(Kalisz 1989; Kalisz and Wardle 1994; Galloway 2001, 2002)
or summer annuals as opposed to winter annuals (Ratcliffe
1976; Effmertova 1967; Evans and Ratcliffe 1972; Nordborg
and Bergelson 1999). Such plasticity has the potential to
determine basic demographic properties such as generation
time, a fundamental parameter that can strongly influence
population growth rates of weedy species like A. thaliana.
The season of seed dispersal also influenced the expression
of life history, and it did so independently of germination
timing. Plants from seeds that experienced summer condi-
tions were more slowly developing, but they were able to
compensate through postreproductive branch production.
The particular nature of the plastic response of life history
to germination season depended on season of seed dispersal
and geographic location. The difference in responses by
plants growing in the two geographic locations was due pri-
marily to whether summer germinants were able to reproduce
in the autumn, as they often did in RI, or whether they re-
mained nonreproductive until spring, as they did in KY. Sim-
ilar environmental cues early in life therefore appear to pre-
dict different conditions later in life, depending on geograph-
ic location. Such geographic variation in the relationship be-
tween seasonal environments experienced early and late in
life implies that responses of later life-history traits to post-
germination environments would be subjected to geograph-
ically variable natural selection.
Life-history differences between plants grown in KY and
RI depended on the season in which they germinated. This
result indicates that ecotypic differences in adult life histories
observed in situ can depend on ecotypic differences in ger-
mination timing. Differences in germination timing can there-
by influence geographic patterns of life-history variation.
Natural Selection on Life History and Its Plasticity
The season of germination influenced natural selection on
life-history traits, but its influence depended on geographic
location and season of dispersal. In KY the season of ger-
mination influenced the strength of natural selection; in RI,
even the direction of selection on life-history traits changed
depending on the season of germination. The evolution of
germination timing therefore is expected to impose changes
in selection on postgermination life histories. The degree to
which the evolution of germination timing can alter selection
on life histories also is expected to depend on geographic
location.
The geographic location that enabled germination season
to alter natural selection most conspicuously, RI, is also the
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12. NICHE CONSTRUCTION THROUGH GERMINATION 781
geographic location that is more likely to exhibit a broad
range of seasons of germination. While small amounts of
spring germination have been observed in typically winter-
annual populations of A. thaliana (Baskin and Baskin 1983),
populations in New England have been observed to have high
frequencies of spring germination, possibly because of their
ability to set seeds in the autumn (Griffith et al. 2004). We
predict therefore that adaptive plastic responses to germi-
nation season would evolve most easily in such populations.
We found no evidence that the lines used in this experiment
exhibited adaptive plasticity of life-history characters in re-
sponse to season of germination or season of dispersal. We
expect to find nonadaptive or even maladaptive phenotypes
in recombinants since coadapted gene complexes have been
disrupted through recombination. The distinct lack of adap-
tive responses suggests that adaptive plasticity of life his-
tories in response to germination and dispersal season could
involve a coordinated phenotype controlled by separate, un-
linked genes. Some genotypes did exhibit adaptive pheno-
types in more than one germination cohort and a very small
number of them exhibited adaptive phenotypes under several
conditions. Therefore, the possibility exists for adaptive plas-
ticity to evolve in response to germination timing, especially
after the creation of transgressive segregants following hy-
bridization between distinct lineages (Ellstrand and Schi-
erenbeck 2000; Lexer et al. 2003; Rieseberg et al. 2003a,b).
However, no genotype exhibited adaptive phenotypes in all
conditions, so variation in germination timing in different
geographic locations may contribute to the maintenance of
genetic variation for plant life histories. Further studies of
intact natural genotypes must test whether populations that
harbor variation in the season of germination have actually
evolved adaptive responses of adult life histories in response
to germination and dispersal season.
The Influence of Germination Timing on Genetic
Variation of Life Histories
Genetically based variation in germination timing aug-
mented genetic variation for most adult characters. That is,
germination timing is genetically variable in this sample
(Donohue et al. 2005a), and plasticity in life histories in
response to this genetically based variation supplies an ad-
ditional source of genetically based differences in adult char-
acters. This augmentation accords with theoretical work that
emphasizes the role of indirect genetic effects in enabling
responses to selection in characters that may not in them-
selves harbor genetic variation (Moore et al. 1997, 1998;
Wolf et al. 1998, 1999). In contrast to these predictions, we
also found that plastic responses to genetically based vari-
ation in germination timing sometimes obscured differences
among genotypes in some adult life-history characters (in
KY). That is, plasticity to postgermination seasonal environ-
ments caused distinct genotypes to behave similarly under
certain seasonal conditions. The ability of phenotypic plas-
ticity to mask genetic variation has been appreciated for de-
cades (Via and Lande 1985), although this dynamic in in-
direct genetic effects and habitat selection has not been pre-
viously documented.
Germination timing also had a strong effect on environ-
mentally induced variation. Because evolutionary responses
to selection depend on the ratio of genetic to total phenotypic
variance, or heritability, germination timing had only a very
weak effect on the heritability of most life-history traits. The
influence of environment-determining traits on environmen-
tally induced variance needs to be considered in addition to
their influence on genetic variance to evaluate their contri-
bution to the evolutionary dynamics of other traits.
Conclusions: Consequences of Plasticity of Life History in
Response to Germination Timing
Plasticity of life-history characters to season of germina-
tion is important for two reasons. First, it indicates that ger-
mination season influences the environment experienced by
plants throughout their life. It can determine the opportunity
for natural selection on life-history traits and influence the
strength and mode of natural selection that adult life stages
are exposed to. Therefore, germination timing acts as a form
of habitat determination and influences the environment to
which later life stages must adapt. Second, plasticity of life
history to germination timing can influence the degree of
genetic variation and the heritability that is expressed for
adult life-history characters.
We found strong plasticity of adult life histories in re-
sponse to germination season, and we found that germination
season significantly altered the strength, direction, and mode
of natural selection to which life histories are exposed. More-
over, genetic variation in germination timing both augmented
and diminished expressed genetic variation for adult life-
history traits. Germination responses can therefore be con-
sidered to be important habitat-determining traits in plants.
As such, the evolution of germination can influence adult
life-history evolution by determining the selective environ-
ment that postgermination traits are exposed to, influencing
the degree of genetic variation and environmentally induced
variation that is expressed for post-germination traits, and
determining the adaptive value of the coordinated expression
of traits in different life stages and that are likely to be con-
trolled by different genes.
ACKNOWLEDGMENTS
We thank the undergraduate and graduate students at the
University of Kentucky, Brown University, and Harvard Uni-
versity who helped us establish and maintain the experiment.
J. Cesarec helped with the data management, tables, and fig-
ures. We are especially grateful to C. Baskin for practical
and administrative assistance with maintaining this grant af-
ter KD's departure from the University of Kentucky. We
thank T. Mitchell-Olds for providing the seeds from Tacoma,
WA, and the Arabidopsis Biological Resource Center at Ohio
State University for the seeds from Calver, England. This
study benefited tremendously from many discussions with C.
Baskin, J. Baskin, S. Gleeson, S. Heschel, and C. Weinig.
This project was funded by National Science Foundation
grant DEB-0079489 to KD and DEB-0079489 to JS and LD,
and by a Bullard Fellowship from the Harvard Forest to KD.
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CorrespondingEditor:M. Geber
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15. 784 KATHLEEN DONOHUE ET AL.
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16. NICHE CONSTRUCTION THROUGH GERMINATION 785
APPENDIX 2.
Genotypic selection analysis of seeds dispersed in Rhode Island during June (upper) and November (lower). Selection gradients are
given for each season of dispersal and germination season. Pindicates the strengthof directional selection on the traitwhile controlling
for correlationsamong characters.y indicates the strengthof quadraticselection on the characterwhile controlling for correlationsamong
characters.N indicates the numberof genotypes in the analysis.
Winter Spring
Trait Y y
June
Bolting age 0.17 (0.21) 0.15 (0.19) 0.11 (0.20) 0.11 (0.12)
Flowering interval -0.05 (0.24) -0.22 (0.17) 0.49 (0.18)** 0.18 (0.12)
Rosette diameter 0.64 (0.21)* 0.54 (0.20)* 0.48 (0.17)** 0.18 (0.09)t
No. basal branches 0.21 (0.22) 0.17 (0.26) -0.01 (0.16) -0.02 (0.16)
R2 0.53 0.87 0.35 0.46
N 16 16 61 61
November
Bolting age -0.06 (0.04) -0.03 (0.03) -0.01 (0.04) -0.01 (0.03)
Flowering interval -0.01 (0.04) -0.01 (0.03) -0.04 (0.04) -0.04 (0.03)
Rosette diameter 0.09 (0.04)* 0.09 (0.03)* 0.13 (0.04)** -0.01 (0.03)
No. basal branches 0.13 (0.04)** -0.01 (0.02) 0.10 (0.04)* 0.04 (0.03)
R2 0.12 0.18 0.12 0.17
N 122 122 122 122
t P < 0.1, * P < 0.05, **P < 0.01.
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