The authors noticed errors in previously published otolith area values from a study on species delimitation through shape analysis of saccular, lagenar, and utricular otoliths in four Poecilia species. The errors were a factor of 1000, but do not affect the analyses, results, or conclusions of the study. Corrected tables of otolith area values for the four Poecilia species are provided.
Investigation of otolith in Priacanthus tayenusin persian gulf and Oman SeaInnspub Net
This study aimed to investigation of otolith in Priacanthus tayenusin Persian Gulf and Oman Sea. Sampling lasted from September 2011 to December 2012. During this period 5 samples of Priacanthus tayenus were cut
and studied. Trawling time was 2-2½ hours and trawling depth was considered as 10-100 m daily. Catching and
sampling operations was done within 24 hours. Sampling and catching was done in Khuzestan and Bushehr waters in fall and winter of 2011and since the third week of September 2012 sampling was done in Hormozgan
and Sistan and Baloochestan waters. All thefish were identified and their otolith was extracted to verify them.
Investigation of otolith morphometric characteristics (length, breadth, weight, perimeter and area) were
conducted.
Investigation of otolith in Priacanthus tayenusin persian gulf and Oman SeaInnspub Net
This study aimed to investigation of otolith in Priacanthus tayenusin Persian Gulf and Oman Sea. Sampling lasted from September 2011 to December 2012. During this period 5 samples of Priacanthus tayenus were cut
and studied. Trawling time was 2-2½ hours and trawling depth was considered as 10-100 m daily. Catching and
sampling operations was done within 24 hours. Sampling and catching was done in Khuzestan and Bushehr waters in fall and winter of 2011and since the third week of September 2012 sampling was done in Hormozgan
and Sistan and Baloochestan waters. All thefish were identified and their otolith was extracted to verify them.
Investigation of otolith morphometric characteristics (length, breadth, weight, perimeter and area) were
conducted.
DOI 10.1126science.1184944, 195 (2010);328 Science et .docxelinoraudley582231
DOI: 10.1126/science.1184944
, 195 (2010);328 Science
et al.Lee R. Berger
from South Africa
-Like AustralopithHomo: A New Species of Australopithecus sediba
This copy is for your personal, non-commercial use only.
clicking here.colleagues, clients, or customers by
, you can order high-quality copies for yourIf you wish to distribute this article to others
here.following the guidelines
can be obtained byPermission to republish or repurpose articles or portions of articles
): October 19, 2014 www.sciencemag.org (this information is current as of
The following resources related to this article are available online at
http://www.sciencemag.org/content/330/6011/1627.1.full.html
A correction has been published for this article at:
http://www.sciencemag.org/content/328/5975/195.full.html
version of this article at:
including high-resolution figures, can be found in the onlineUpdated information and services,
http://www.sciencemag.org/content/suppl/2010/04/08/328.5975.195.DC1.html
http://www.sciencemag.org/content/suppl/2010/04/08/328.5975.195.DC2.html
can be found at: Supporting Online Material
http://www.sciencemag.org/content/328/5975/195.full.html#related
found at:
can berelated to this article A list of selected additional articles on the Science Web sites
http://www.sciencemag.org/content/328/5975/195.full.html#ref-list-1
, 4 of which can be accessed free:cites 28 articlesThis article
4 article(s) on the ISI Web of Sciencecited by This article has been
http://www.sciencemag.org/content/328/5975/195.full.html#related-urls
17 articles hosted by HighWire Press; see:cited by This article has been
http://www.sciencemag.org/cgi/collection/anthro
Anthropology
subject collections:This article appears in the following
registered trademark of AAAS.
is aScience2010 by the American Association for the Advancement of Science; all rights reserved. The title
CopyrightAmerican Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005.
(print ISSN 0036-8075; online ISSN 1095-9203) is published weekly, except the last week in December, by theScience
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HYPOTHESISThe evolution and conservation of left-right pat.docxadampcarr67227
HYPOTHESIS
The evolution and conservation of left-right patterning
mechanisms
Martin Blum‡, Kerstin Feistel, Thomas Thumberger* and Axel Schweickert
ABSTRACT
Morphological asymmetry is a common feature of animal body plans,
from shell coiling in snails to organ placement in humans. The
signaling protein Nodal is key for determining this laterality. Many
vertebrates, including humans, use cilia for breaking symmetry during
embryonic development: rotating cilia produce a leftward flow of
extracellular fluids that induces the asymmetric expression of Nodal.
By contrast, Nodal asymmetry can be induced flow-independently in
invertebrates. Here, we ask when and why flow evolved. We propose
that flow was present at the base of the deuterostomes and that it is
required to maintain organ asymmetry in otherwise perfectly
bilaterally symmetrical vertebrates.
KEY WORDS: Cilia, Evolution, Left-right asymmetry, Left-right
organizer, Leftward flow
Introduction
Symmetry is a guiding principle for the construction of animal body
plans. Apart from sponges, which are considered the most basal
branch of the animal phylogenetic tree (see Box 1), all other phyla
are characterized by one or several planes of symmetry along their
longitudinal axis. In radially symmetrical cnidarians, such as the
freshwater polyp Hydra, multiple planes of symmetry can be drawn.
All other major animal phyla belong to the bilateria, which are
marked by one plane of symmetry along the head to tail axis,
perpendicular to the dorsal-ventral axis. It has been suggested that
symmetry is used as a measurement of genetic fitness of a potential
mate in sexual selection (Brown et al., 2005). Asymmetry, in that
respect, is widely considered a defect. However, asymmetry is also
ubiquitously encountered in nature. This ranges from the chirality of
biomolecules, to functional asymmetries in symmetrical structures,
to the overt morphological asymmetries of organs.
In vertebrates, visceral and abdominal organs are asymmetrically
positioned with respect to the two main body axes (Fig. 1). This
arrangement, termed situs solitus (see Glossary, Box 2), is rarely
altered. Only ∼1/10,000 humans shows a mirror image of the
normal organ display (situs inversus; see Glossary, Box 2). Other
vertebrate asymmetries, such as left and right handedness, vary with
much higher frequencies in human populations and are not covered
here. Asymmetric organ morphogenesis and placement is initiated
during embryogenesis. In the early vertebrate neurula embryo, three
genes – those encoding Nodal, its feedback inhibitor Lefty and the
homeobox transcription factor Pitx2 – become asymmetrically
expressed in the left lateral plate mesoderm (LPM). This so-called
Nodal cascade (see Box 3) is a conserved feature of vertebrate left-
right (LR) axis formation. The functional importance of this
asymmetric expression has been demonstrated in all classes of
vertebrates (Yoshiba and Hamada, 2014). However, the mechanism
of symmetry .
A Study of Mastoid Foramina in Adult Human Skullsiosrjce
IOSR Journal of Dental and Medical Sciences is one of the speciality Journal in Dental Science and Medical Science published by International Organization of Scientific Research (IOSR). The Journal publishes papers of the highest scientific merit and widest possible scope work in all areas related to medical and dental science. The Journal welcome review articles, leading medical and clinical research articles, technical notes, case reports and others.
DOI 10.1126science.1184944, 195 (2010);328 Science et .docxelinoraudley582231
DOI: 10.1126/science.1184944
, 195 (2010);328 Science
et al.Lee R. Berger
from South Africa
-Like AustralopithHomo: A New Species of Australopithecus sediba
This copy is for your personal, non-commercial use only.
clicking here.colleagues, clients, or customers by
, you can order high-quality copies for yourIf you wish to distribute this article to others
here.following the guidelines
can be obtained byPermission to republish or repurpose articles or portions of articles
): October 19, 2014 www.sciencemag.org (this information is current as of
The following resources related to this article are available online at
http://www.sciencemag.org/content/330/6011/1627.1.full.html
A correction has been published for this article at:
http://www.sciencemag.org/content/328/5975/195.full.html
version of this article at:
including high-resolution figures, can be found in the onlineUpdated information and services,
http://www.sciencemag.org/content/suppl/2010/04/08/328.5975.195.DC1.html
http://www.sciencemag.org/content/suppl/2010/04/08/328.5975.195.DC2.html
can be found at: Supporting Online Material
http://www.sciencemag.org/content/328/5975/195.full.html#related
found at:
can berelated to this article A list of selected additional articles on the Science Web sites
http://www.sciencemag.org/content/328/5975/195.full.html#ref-list-1
, 4 of which can be accessed free:cites 28 articlesThis article
4 article(s) on the ISI Web of Sciencecited by This article has been
http://www.sciencemag.org/content/328/5975/195.full.html#related-urls
17 articles hosted by HighWire Press; see:cited by This article has been
http://www.sciencemag.org/cgi/collection/anthro
Anthropology
subject collections:This article appears in the following
registered trademark of AAAS.
is aScience2010 by the American Association for the Advancement of Science; all rights reserved. The title
CopyrightAmerican Association for the Advancement of Science, 1200 New York Avenue NW, Washington, DC 20005.
(print ISSN 0036-8075; online ISSN 1095-9203) is published weekly, except the last week in December, by theScience
o
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HYPOTHESISThe evolution and conservation of left-right pat.docxadampcarr67227
HYPOTHESIS
The evolution and conservation of left-right patterning
mechanisms
Martin Blum‡, Kerstin Feistel, Thomas Thumberger* and Axel Schweickert
ABSTRACT
Morphological asymmetry is a common feature of animal body plans,
from shell coiling in snails to organ placement in humans. The
signaling protein Nodal is key for determining this laterality. Many
vertebrates, including humans, use cilia for breaking symmetry during
embryonic development: rotating cilia produce a leftward flow of
extracellular fluids that induces the asymmetric expression of Nodal.
By contrast, Nodal asymmetry can be induced flow-independently in
invertebrates. Here, we ask when and why flow evolved. We propose
that flow was present at the base of the deuterostomes and that it is
required to maintain organ asymmetry in otherwise perfectly
bilaterally symmetrical vertebrates.
KEY WORDS: Cilia, Evolution, Left-right asymmetry, Left-right
organizer, Leftward flow
Introduction
Symmetry is a guiding principle for the construction of animal body
plans. Apart from sponges, which are considered the most basal
branch of the animal phylogenetic tree (see Box 1), all other phyla
are characterized by one or several planes of symmetry along their
longitudinal axis. In radially symmetrical cnidarians, such as the
freshwater polyp Hydra, multiple planes of symmetry can be drawn.
All other major animal phyla belong to the bilateria, which are
marked by one plane of symmetry along the head to tail axis,
perpendicular to the dorsal-ventral axis. It has been suggested that
symmetry is used as a measurement of genetic fitness of a potential
mate in sexual selection (Brown et al., 2005). Asymmetry, in that
respect, is widely considered a defect. However, asymmetry is also
ubiquitously encountered in nature. This ranges from the chirality of
biomolecules, to functional asymmetries in symmetrical structures,
to the overt morphological asymmetries of organs.
In vertebrates, visceral and abdominal organs are asymmetrically
positioned with respect to the two main body axes (Fig. 1). This
arrangement, termed situs solitus (see Glossary, Box 2), is rarely
altered. Only ∼1/10,000 humans shows a mirror image of the
normal organ display (situs inversus; see Glossary, Box 2). Other
vertebrate asymmetries, such as left and right handedness, vary with
much higher frequencies in human populations and are not covered
here. Asymmetric organ morphogenesis and placement is initiated
during embryogenesis. In the early vertebrate neurula embryo, three
genes – those encoding Nodal, its feedback inhibitor Lefty and the
homeobox transcription factor Pitx2 – become asymmetrically
expressed in the left lateral plate mesoderm (LPM). This so-called
Nodal cascade (see Box 3) is a conserved feature of vertebrate left-
right (LR) axis formation. The functional importance of this
asymmetric expression has been demonstrated in all classes of
vertebrates (Yoshiba and Hamada, 2014). However, the mechanism
of symmetry .
A Study of Mastoid Foramina in Adult Human Skullsiosrjce
IOSR Journal of Dental and Medical Sciences is one of the speciality Journal in Dental Science and Medical Science published by International Organization of Scientific Research (IOSR). The Journal publishes papers of the highest scientific merit and widest possible scope work in all areas related to medical and dental science. The Journal welcome review articles, leading medical and clinical research articles, technical notes, case reports and others.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
All good things come in threes - species delimitation through shape analysis of saccular, lagenar and utricular otoliths.pdf
1. All good things come in threes – species delimitation
through shape analysis of saccular, lagenar
and utricular otoliths
Tanja Schulz-Mirbach and Martin Plath
Marine and Freshwater Research 63(10), 934–940.
http://dx.doi.org/10.1071/MF12132
The authors of the abovementioned manuscript have noticed that published otolith area values in Table 1 were incorrect (by a factor
of 1000, e.g. P. formosa mean sagitta area was indicated as 1312.8 mm2
but should have been 1 312 794 mm2
). This does not affect
the analyses, results or conclusions in any way.
Table 1 as published is below.
Table 1 with the correct values is below.
Table 1. Overview of the four Poecilia species, sample sizes (n), standard length (SL), and areas
of sagittae, asterisci and lapilli
Values are means s.e.
Species n SL (mm) Otolith area (mm2
)
Sagitta Asteriscus Lapillus
P. formosa 18 42 0.8 1312.8 47.06 283.5 9.87 130.9 3.45
P. latipinna 18 39 1.3 1132.6 68.62 254.2 13.31 121.2 5.54
P. mexicana 15 34 1.3 1255.6 93.19 268.7 18.02 121.1 6.10
P. reticulata 16 20 0.8 467.9 24.76 132.3 7.34 56.8 2.23
Table 1. Overview of the four Poecilia species, sample sizes (n), standard length (SL), and areas
of sagittae, asterisci and lapilli
Values are means s.e.
Species n SL (mm) Otolith area (mm2
)
Sagitta Asteriscus Lapillus
P. formosa 18 42 0.8 1 312 794 47 058 283 523 9871 130 873 3448
P. latipinna 18 39 1.3 1 132 637 68 619 254 204 13 306 121 151 5537
P. mexicana 15 34 1.3 1 255 583 93 193 268 682 18 024 121 062 6103
P. reticulata 16 20 0.8 467 891 24 756 132 341 7338 56 783 2233
CSIRO PUBLISHING
Marine and Freshwater Research, 2015, 66, 757
http://dx.doi.org/10.1071/MF12132_CO
Journal compilation Ó CSIRO 2015 www.publish.csiro.au/journals/mfr
Corrigendum
2. All good things come in threes ] species delimitation
through shape analysis of saccular, lagenar
and utricular otoliths
Tanja Schulz-MirbachA,C
and Martin PlathB
A
University of Vienna, Department of Behavioural Biology, Althanstrasse 14,
A-1090 Vienna, Austria.
B
J.W. Goethe-University, Frankfurt am Main, Evolutionary Ecology Group,
Max-von-Laue Strasse 13, 60438 Frankfurt am Main, Germany.
C
Corresponding author. Email: tanja.schulz-mirbach@univie.ac.at
Abstract. Otoliths are calcium carbonate biomineralisates in the inner ear of teleost fishes. Otoliths of the saccule
(sagittae) are known to show species-specific (or even population-specific) contour differences and, thus, are regularly
used in fisheries management for stock identification. However, the other two otolith types from the utricle (lapilli) and
lagena (asterisci) are typically neglected in studies of this kind, such that little information is available regarding potential
species-specific contour differences. Using four species of livebearing fishes of the genus Poecilia (Cyprinodontiformes,
Poeciliidae), we compared contour outlines of all three otolith types by applying Fourier shape analysis and tested for
species delimitation success of the different otolith types alone, and all three otoliths combined. Our results indicated that
also lapilli and especially asterisci convey species-specific information, and the classification success of discriminant
function analyses was highest when combining shape information from all three otolith types. We propose that future
studies on species delimitation or stock identification may benefit from considering all three otolith types together.
Additional keywords: inner ear, Fast Fourier Tranform, freshwater fishes, Guppy, Molly.
Received 15 May 2012, accepted 17 August 2012, published online 24 October 2012
Introduction
Otoliths are massive calcium carbonate biomineralisates over-
lying the sensory epithelia in the inner ear of teleost fishes.
Within the endolymph-filled, sac-like compartments of the
inner ear (the so-called otolithic end organs), otoliths are inti-
mately attached to the sensory epithelia, and movement of the
fish’s body relative to the slower motion of the otolith, which is
about three times denser than the sensory epithelium, provokes a
stimulation of the sensory hair cells. In this way, the teleost inner
ear can perceive linear acceleration and sound (Popper 2011).
According to the respective end organ, the following three dif-
ferent otolith types can be distinguished: the otolith of the sac-
cule (sagitta), of the lagena (asteriscus) and of the utricle
(lapillus).
Although saccular otoliths are widely used in fisheries
management for stock identification through shape analysis
(Lombarte et al. 2006: AFORO database; Cañás et al. 2012;
Tuset et al. 2012), in paleontology for the reconstruction of past
fish diversity and paleoecology (e.g. Reichenbacher and
Kowalke 2009) and in ecology for the investigation of migration
patterns through isotope and trace-element analyses (Stransky
et al. 2005; Rohtla et al. 2012), only few studies have investi-
gated inter- and intra-specific shape variation of the other two
otolith types (Assis 2003, 2005; Schulz-Mirbach et al. 2011a).
In the majority of teleosts, the saccular otolith is the largest of the
three otolith types, and it has been claimed that only this otolith
type provides sufficient species-specific morphological infor-
mation to allow species delimitation (e.g. Popper and Coombs
1982; Nolf 1985), at least in ‘non-otophysan’ teleosts. In
otophysans (Cypriniformes, Characiformes, Siluriformes and
Gymnotiformes), however, including all taxa possessing a
Weberian apparatus (Fink and Fink 1996), the asteriscus and/
or lapillus are by far larger than the fragile, needle-like sagitta.
Few studies have illustrated and described the diversity of
lapilli and asterisci in otophysans (e.g. Frost 1925; Adams
1940; Berinkey 1956; Assis 2003, 2005; Schulz-Mirbach and
Reichenbacher 2006), and even fewer descriptions of non-
otophysan lapilli and asterisci exist (e.g. Frost 1926; Assis
2003, 2005); all of these studies described otolith contours on
a purely qualitative basis.
In his overview of asterisci and lapilli in teleost fishes, Assis
(2003, 2005) argued that those otoliths types, too, are likely to
show species-specific morphological differences. Moreover,
two recent studies quantifying contour outlines of all three
otolith types in different populations of the non-otophysan
speciesPoeciliamexicanaSteindachner, 1863,andP. sulphuraria
(Álvarez, 1948) have provided first evidence that contours of
lapilli and asterisci may indeed convey species-specific (or even
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3. population-specific) information (Schulz-Mirbach et al. 2010,
2011a). However, no study has directly quantified and com-
pared the potential of asterisci and lapilli for species delimita-
tion. In the present study, we address this question on the basis of
shape (contour) differences of all three otolith types in a group of
closely related, non-otophysan teleost fishes from the family
Poeciliidae (livebearers). Using four representatives of the
genus Poecilia, we demonstrate that species could be success-
fully discriminated with each of the otolith types alone and that
information from all three types combined yields the best
separation.
Material and methods
Study animals and otolith dissection
In total, we analysed 67 otolith ‘triplets’, i.e. sagittae, asterisci
and lapilli of four species of the poeciliid genus Poecilia,
namely Guppies, Poecilia reticulata Peters, 1859, Atlantic
mollies, P. mexicana, Amazon mollies, P. formosa (Girard,
1859) and Sailfin mollies, P. latipinna (Le Sueur, 1821)
(Table 1). Specimens of P. reticulata investigated in our study
were provided by I. Schlupp and stemmed from a stock at the
Department of Zoology of the University of Oklahoma in
Norman that was founded using wild-caught fish from a feral
population inhabiting the San Antonio River in Texas. Speci-
mens of P. formosa and P. latipinna were wild catches origi-
nating from Martindale (San Marcos River, central Texas),
whereas P. mexicana individuals were collected near Tapijulapa
(Tabasco, southern Mexico). P. latipinna was introduced to the
San Marcos River from Louisiana in the 1930s, and P. formosa
from Olmito near Brownsville in the 1950s (Schlupp et al. 2002;
Lamatsch et al. 2004). P. formosa is a gynogenetic species that
probably originated from a single, inter-specific hybridisation
event between a P. latipinna-like male and a P. mexicana
limantouri female ,100 000–40 000 years ago (Schartl et al.
1995). It is an all-female species that relies on the coexistence
with at least one so-called sperm-donor species (mainly
P. latipinna or P. mexicana), the sperm of which is needed to
trigger embryogenesis, whereas genetic material of the sperm
donor is excluded from the unreduced diploid oocyte. As a
result, inheritance of this hybrid species is clonal.
We preserved adult specimens in 70% ethanol until dissec-
tion. Then, we measured standard length to the nearest milli-
metre and determined sex by inspection of the gonopodium (the
transformed anal fin) of males and, if necessary, by inspection of
the ovary of females. To avoid any potentially confounding
effects caused by potential sex differences, we used only
females (Schulz-Mirbach et al. 2010). We extracted the three
otolith types – sagitta, asteriscus and lapillus – through ventral
dissection from both labyrinths, cleaned them of organic resi-
dues with 1% potassium hydroxide solution for 4–6 h and rinsed
them several times in distilled water. Afterwards, we stored
otoliths dry in small plastic cells (Krantz cells, Krantz, Bonn,
Germany).
Shape analysis
We positioned either left or right otoliths from each specimen
with their lateral (sagittae, asterisci) or dorsal face (lapilli) down
on plasticine lying plainly under a stereo-microscope (Leica
MZ 6; camera: Leica DFC 295, Leica Microsystems, Wetzlar,
Germany), with the medial (sagittae, asterisci) or ventral face
(lapilli) oriented horizontally. We then took digital images at
maximum magnifications of 40–102 (sagittae), or 80–128
(asterisci and lapilli) by using the Leica Image Access Software
(IMAGIC 1000, Imagic Bildverarbeitung AG, Glattbrugg,
Switzerland) while focusing on the outermost otolith contour.
We processed all digital images in Adobe Photoshop CS2
(Adobe Systems Incorporated, San Jose, CA, USA) by gener-
ating a contrast of 100% along the otolith contour. Prior to shape
analysis, images of right otoliths were mirrored. Terminology of
sagittae follows Nolf (1985) and Tuset et al. (2008), the termi-
nology of asterisci and lapilli follows Assis (2003, 2005) (see
also Fig. 1).
As starting points for digitising outlines, we used the tip of
the rostrum of sagittae and asterisci, and the extremum posterior
of lapilli. Raw (x- and y-) coordinates of each otolith contour
were obtained by using tpsDIG2 (Rohlf 2004) and subjected to
the shape analysis software Hshape (Crampton and Haines
1996; Haines and Crampton 2000) consisting of the three
programs Hangle, Hmatch and Hcurve. The output of Hangle
and Hmatch are Fourier descriptors (FDs), describing the
contour by a combination of sine- and cosine-waves. In this
type of Fourier analysis, Fourier functions are fitted to a function
of the tangent angle dependent on the arc length (see Haines and
Crampton (2000) for a comparison of their Fourier method with
the ‘classical’ elliptic Fourier analysis), and calculated with the
Fast Fourier Transform (FFT) algorithm. Normalisation of size
was performed automatically in Hangle (smoothing iterations:
16 for sagittae, 7 for astersici and lapilli each), whereas normal-
isation of rotation and starting point was ensured by applying
Hmatch. We plotted the amplitude against the harmonic number
so as to evaluate the minimum number of harmonics and, thus,
Fourier descriptors that were necessary for an adequate shape
description. Thirty-four FDs were used to analyse contours of
sagittae, 30 for asterisci and 32 for lapilli, respectively. To
visualise differences in otolith contours among species, we
back-calculated averaged FDs of each species and otolith type
into x- and y-coordinates (1024 per contour) by applying
Hcurve, resulting in mean shapes of the groups. Outlines of
sagittae from P. formosa (Nre-analysed ¼ 18) and P. latipinna
(Nre-analysed ¼ 18), and partly sagittae, asterisci and lapilli from
P. mexicana (Nre-analysed ¼ 15) published in Schulz-Mirbach
et al. (2008a, 2008b, 2011a) were re-analysed in the present
study.
Table 1. Overview of the four Poecilia species, sample sizes (n),
standard length (SL), and areas of sagittae, asterisci and lapilli
Values are means s.e.
Species n SL (mm) Otolith area (mm2
)
Sagitta Asteriscus Lapillus
P. formosa 18 42 0.8 1312.8 47.06 283.5 9.87 130.9 3.45
P. latipinna 18 39 1.3 1132.6 68.62 254.2 13.31 121.2 5.54
P. mexicana 15 34 1.3 1255.6 93.19 268.7 18.02 121.1 6.10
P. reticulata 16 20 0.8 467.9 24.76 132.3 7.34 56.8 2.23
Species delimitation by multiple otolith types Marine and Freshwater Research 935
4. Statistical analyses
We performed all statistical analyses in SPSS 15.0 (SPSS Inc.
2006) and PAST 2.15 (Hammer et al. 2001). In a first step, we
conducted three variance–covariance-based principal compo-
nent analyses (one PCA for each otolith type), using the FDs as
input variables to reduce the number of variables for further
multivariate analyses (see below). We evaluated relevant prin-
cipal components (PCs) explaining more variance than expected
by chance alone according to the ‘broken stick model’ sensu
Jackson (1993). FDs per se cannot be assigned to special parts of
the contour; however, by interpreting the morphospace of the
PCAs by using synthetic model shapes (for a detailed descrip-
tion see Haines and Crampton (2000) and Schulz-Mirbach et al.
(2008b)), we could identify the otolith characters explained by
the respective PC (see also Fig. 1). Synthetic model shapes were
calculated for each principal component corresponding to unit
standard deviation steps at 2, 0 and þ2.
In a second step, we used all retained PCs as input variables
for a MANOVA (the first eight PCs for sagittae, the first three
for asterisci and the first four for lapilli). We asked to which
extent species were significantly separated from one another on
the basis of a given otolith type (or specific otolith characters)
and, thus, conducted all pair-wise post hoc tests (Tamhane2) for
each PC separately. So as to illustrate the magnitude of species
separation, we performed four canonical discriminant function
analyses (CDAs) using PCs as input variables. We calculated
three CDAs using only one otolith type each, in which the first
eight (sagittae), three (asterisci), or four (lapilli) PCs served as
input variables; the fourth CDA was based on all otolith types
combined, using the aforementioned 15 PCs together. PAST v.
2.15 (Hammer et al. 2001) was used to estimate 95% confidence
ellipses for species. We additionally tested for classification
success using jack-knifed cross-validation and calculated the
overall discriminatory power of the respective otolith character.
To evaluate the relative contribution of sagittae, asterisci and
lapilli to the overall classification success in the combined
dataset, we calculated the mean discriminant coefficient
(MDC) according to the equation provided in Backhaus et al.
(2006, p. 188), as follows:
Mean bi ¼ S bi lk=ltotal
ð Þ
ð Þ;
where bi is the discriminant coefficient of variable i (here: PC),
lk is the eigenvalue of the respective discriminant function k,
SAGITTA
Posterodorsal
edge (tip-like)
Posteroventral
edge
PC1
PC2
PC3
PC4
PC1 PC1
PC2
PC3
PC4
PC3
PC2
PC5
PC6
PC7
PC8
Ventral rim
Antirostrum
Excisura ostii
Rostrum
Extremum
ventralis
Rostrum
asterisci
Excisura major
edge
Anterodorsal
Medial edge
Extremum
anterior
Incision
Extremum
posterior
Postero-
dorsal edge
ASTERISCUS LAPILLUS
(a1) (b1) (c1)
(a2) (b2) (c2)
⫺2 0 ⫹2 ⫺2 0 ⫹2 ⫺2 0 ⫹2
Fig. 1. Illustration of morphological characters of each otolith type explained by the respective principal components (PCs) using synthetic model
shapes. In a1–c1 otolith terminology is shown by means of scanning electron microscope images of representative otoliths of Poecilia mexicana. Black
arrows in a2–c2 indicate parts of the otolith contour explained by the respective PC (for description of those characters see also Table 2). Scale
bars ¼ 100 mm.
936 Marine and Freshwater Research T. Schulz-Mirbach and M. Plath
5. and ltotal is the sum of the eigenvalues of all discriminant
functions (here: discriminant function 1 through 3).
To account for potential effects of otolith size on shape
differences (i.e. allometric effects), we determined otolith size
as the orthogonal projection of the area of the macula-oriented
face of each otolith type, using tpsDIG2 (Rohlf 2004) as a proxy
for size (e.g. Lombarte et al. 2010). We then tested principal
components for potential size correlations by calculating
Pearson’s correlation coefficient (rP) between the respective
PC and ln-transformed otolith area. Alpha levels (0.05) were
Bonferroni-corrected for multiple comparisons (Rice 1989).
Because PC 1 for sagittae and PC 3 for lapilli showed significant
size correlations (PC 1: rP ¼ 0.75, P , 0.0001; PC 3: rP ¼ 0.80,
P , 0.0001), we conducted another CDA on the combined
dataset, with those two PCs removed, i.e. using 13 input
variables instead of 15.
Results
Three PCs of each otolith type contributed significantly to
species discrimination (Table 2). In the case of sagittae
(Fig. 1a2), these characters were identified as the overall shape
varying from elongate to short (PC 1), the position of the dorsal
tip and the rostrum tip (PC 2), and the shape of the postero-
ventral edge (angular to pointed; PC 4). In asterisci, the devel-
opment of the excisura major (PC 1), the development of the
postero-dorsal edge and the rostrum asterisci (PC 2), and antero-
dorsal edge (PC 3) significantly contributed to species separa-
tion (Fig. 1b2). In lapilli, the development of the medial edge
(PC 1), as well as the incision (PC 2), and shape of the extremum
posterior, varying from angular to round (PC 3; Fig. 1c2), were
identified as separating characters.
The combined analysis including PCs from all three otolith
types (sagittae: PC1–8; asterisci: PC1–3; lapilli: PC1–4)
resulted in a statistically significant separation among the four
Poecilia species (MANOVA, Wilk’s l ¼ 0.0008, P , 0.0001).
The canonical discriminant function analyses found species
separation to be best when shape information of all three otolith
types was combined (Fig. 2a–c v. d, Table 3), resulting in a
classification success of 98.5%. The overall classification suc-
cess was still high (97.0%) after the removal of the size-
correlated PCs (Table 3). The CDAs of the datasets using only
one otolith type found asterisci (91.0%) and lapilli (88.1%) to
show higher overall classification success than sagittae (83.6%;
Table 3). On the basis of the shapes of asterisci, P. reticulata was
clearly separated from the other three Poecilia species, whereas
the shapes of lapilli distinguished P. formosa from the remaining
species because of the prominent development of the extremum
posterior in P. formosa (Fig. 1c1).
For the most part, the same characters as identified to
significantly separate the species in the three separate PCAs
also had the highest discriminatory power in the canonical
discriminant analysis using the combined dataset (see values
of the mean discriminatory coefficient, MDC in Table 2).
Exceptions were characters of the sagittae; PC 3 showed a low
MDC value, whereas PC 7 (ratio of antirostrum to rostrum) and
PC 8 (development of the ventral rim) were not significant in the
MANOVA post hoc tests, but had high MDC values and also
showed differences among species in the overlay of the mean
shapes of the sagittae (Fig. 2).
Table
2.
Significance
of
separation
of
the
four
Poecilia
species
provided
and
characters
explained
by
the
first
eight
(sagittae),
three
(asterisci)
or
four
(lapilli)
principal
components
(PCs)
based
on
the
Fourier
descriptors
(see
Fig.
1)
Significant
P-values
and
values
for
the
mean
discriminatory
coefficient
(MDC)
of
.0.3
are
in
bold.
Var%,
explained
variance
in
%.
Size-correlated
PCs
are
indicated
by
asterisks
Principal
component
Sagittae
Asterisci
Lapilli
Var%
Character
explained
Species
separation
(Tamhane2
post
hoc)
MDC
Var%
Character
explained
Species
separation
(Tamhane2
post
hoc)
MDC
Var%
Character
explained
Species
separation
(Tamhane2
post
hoc)
MDC
PC
1
17.2*
Overall
shape:
elongate
or
short
P
#
0.031
0.477
27.6
Excisura
major;
postero-
dorsal
edge
P
,
0.001
0.630
29.5
Medial
edge
P
,
0.001
0.470
PC
2
11.2
Position
of
dorsal
tip;
rostrum
P
,
0.001
0.593
11.8
Postero-dorsal
edge;
rostrum
P
#
0.039
0.389
11.6
Development
of
incision
P
#
0.003
0.216
PC
3
7.9
Excisura
ostii;
postero-ventral
edge
P
.
0.05
0.101
8.8
Antero-dorsal
edge
P
#
0.005
0.184
9.4*
Extremum
posterior:
angular
or
round
P
,
0.001
0.212
PC
4
7.1
Postero-ventral
edge
P
#
0.037
0.037
8.7
Extremum
posterior:
flat
or
pointed
P
.
0.05
0.206
PC
5
6.9
Postero-ventral
edge;
rostrum
P
.
0.05
0.122
PC
6
6.3
Postero-ventral
edge
P
.
0.05
0.159
PC
7
6.0
Postero-dorsal
edge;
ratio
of
antirostrum
to
rostrum
P
.
0.05
0.522
PC
8
4.9
Ventral
rim
flat
or
convex
P
.
0.05
0.306
Total
67.5
48.2
59.2
Species delimitation by multiple otolith types Marine and Freshwater Research 937
6. Discussion
Our study, for the first time, demonstrated, on a quantitative
basis, that shape information not only of sagittae, but also of
lapilli and especially asterisci significantly contributes to spe-
cies discrimination. Moreover, we found that a combined
analysis of shape information from all three otolith types results
in a much better separation than the analysis of one otolith type
alone.
For the most part, the same characters of sagitta, asteriscus
and lapillus shape that separated species in our present study
were also found to separate locally adapted populations of
P. mexicana living under starkly divergent habitat conditions,
especially in habitats containing toxic hydrogen sulfide of
volcanic origin (Schulz-Mirbach et al. 2011a: fig. 2 therein).
Our results thus support the notion of Assis (2003, 2005) and
Schulz-Mirbach et al. (2011a) that asterisci and lapilli in non-
otophysans have the potential to show species-specific (or even
population-specific) differences in gross morphology, namely,
outlines. We encourage future studies to evaluate whether
asterisci and lapilli of species that are relevant from an economic
perspective are also a source of additional information for stock
identification and, thus, fisheries management. This may be of
particular interest when stock or species discrimination based on
shape information of the sagittae alone is weak. It needs to be
mentioned, however, that the asterisci and lapilli of non-
otophysan teleosts tend to be much smaller than is the sagittae
and that members of the Cyprinodontiformes (including the
family Poeciliidae) represent an exception in that they possess
comparatively large asterisci and lapilli (Schulz-Mirbach et al.
2011b). Then again, the small size of asterisci and lapilli in other
teleost groups does not necessarily preclude morphological
complexity and species-specificity of outlines.
Several studies noted that sagittae may convey morphologi-
cal information suitable for phylogenetic reconstructions (Nolf
and Tyler 2006; Assis 2003, 2005), and it was therefore
suggested to include saccular otolith characters in phylogenetic
analyses of teleosts (see Knudsen et al. 2007; Lombarte et al.
2010). We propose that future studies in the field of teleost
phylogeny should also take the morphology of asterisci and
lapilli into account.
An exciting set of questions arises from our present study.
For example, do changes in one otolith type correlate with
changes in the other two types (concerted evolution), or are the
different end organs and their corresponding otoliths subject to
entirely different selective forces and undergo independent
(mosaic) evolution? Our study has provided first evidence
regarding this question. For instance, although P. formosa
is rather similar to the other Poecilia species investigated
herein, with respect to the shape of its sagitta and asteriscus, it
displays a very distinct lapillus shape, separating it from
P. reticulata as well as from both parental species P. latipinna
and P. mexicana.
Among vertebrates, the structure of the utricle appears to be
rather conservative compared with the two other otolithic end
organs –theexceptionbeingtheorderClupeiformes(e.g.Popper
and Platt 1979) and some species of deep-sea fishes (Deng
2009) – and the utricular otolith (lapillus) has been hypothesised
to have the least potential for species delimitation of the three
otolith types (Assis 2005). Still, we found lapilli to separate even
closely related species; basically, they did not performed worse
than did sagittae. Although all three end organs may serve both
the sense of balance and the sense of hearing, the utricle in most
0.16
0.12
0.08
0.04
⫺0.04
⫺0.08
⫺0.12
⫺0.12 ⫺0.08 ⫺0.04
Discriminant axis 1 (64.2%)
Discriminant
axis
2
(31.3%)
Sagittae
Asterisci
Lapilli
All
Mean shapes
0.04 0.08
0
⫺0.12 ⫺0.08 ⫺0.04
Discriminant axis 1 (84.8%)
0.04 0.08
0
⫺0.12 ⫺0.08 ⫺0.04
Discriminant axis 1 (66.0%)
0.04 0.08
0
⫺0.12 ⫺0.08 ⫺0.04
Discriminant axis 1 (44.4%)
0.04 0.08
0
⫺0.16
0
0.18
0.15
0.12
0.09
0.03
0.06
0
⫺0.03
Discriminant
axis
2
(9.8%)
⫺0.06
⫺0.09
0.16
0.12
0.08
0.04
0
⫺0.04
⫺0.08
⫺0.12
Discriminant
axis
2
(23.6%)
⫺0.16
0.16
0.12
0.08
0.04
⫺0.04
0
⫺0.08
⫺0.12
Discriminant
axis
2
(39.6%)
⫺0.16
(a)
(b)
(c)
(d)
P. latipinna
P. mexicana
P. formosa
P. reticulata
Fig. 2. Plots of canonical discriminant analyses (discriminant axis 2
against axis 1) of the contours of (a–c) each otolith type alone, or (d) all
three otolith types combined. Separation among species was best when shape
information of sagittae, asterisci and lapilli was combined (d). Ellipses
represent 95% confidence ellipses for each group (i.e. species). Mean shapes
of each otolith type illustrate parts of the contours differing among species.
938 Marine and Freshwater Research T. Schulz-Mirbach and M. Plath
7. teleosts is claimed to play a major role in the vestibular sense,
and the saccule (and potentially the lagena) are mainly involved
in the perception of sound (Popper and Schilt 2008; Popper
2011). Therefore, the different end organs and their otoliths may
indeed not all be projected to the same selective forces. How-
ever, even if the utricle is the most conservative of the three end
organs, it is likely that different species exhibit differences in the
development of their vestibular sense, e.g. because they differ in
their need of sophisticated maneuverability. This, in turn, may
translate into slight differences in utricule and lapillus morphol-
ogy among species.
Acknowledgements
We are grateful to I. Schlupp (Norman, Oklahoma), R. Riesch (Raleigh,
North Carolina), and M. Tobler (Stillwater, Oklahoma) for providing wild-
caught specimens and I. Schlupp for providing P. reticulata from his labo-
ratory. The Mexican Government (Permiso de Pesca de Fomento
No. DGOPA.06192.240608.-1562), Semarnat (No. SGPA/DGVS/04148/08
and SGPA/DGVS/04751/08), as well as the Municipal of Tacotalpa
(SM/1133/208) provided collection permits. Finally, we thank C. A. Assis
and an anonymous reviewer for their constructive remarks.
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Table 3. Jack-knifed classification matrix of the canonical discriminant analyses among the four Poecilia species using principal components (PCs)
as input variables either from each otolith type separately or from all three otolith types combined
The combined dataset was also analysed with the two size-correlated PCs (PC 1 of the sagittae and PC 3 of lapilli, see also Table 2) removed. The percentages in
rows represent the classification into species given in columns; the corresponding number of specimens is given in parentheses. Percentages of correctly
classified individuals and significant P-values are in bold
Otolith type P. formosa P. latipinna P. mexicana P. reticulata Overall class
success (%)
Wilk’s l x2
P-value
Sagitta 83.6 0.030 210.0 0.001
P. formosa 83.3 (15) 0 (0) 16.7 (3) 0 (0)
P. latipinna 0 (0) 88.9 (16) 5.6 (1) 5.6 (1)
P. mexicana 26.7 (4) 6.7 (1) 60.0 (9) 6.7 (1)
P. reticulata 0 (0) 0 (0) 0 (0) 100 (16)
Asteriscus 91.0 0.037 205.3 0.001
P. formosa 100 (18) 0 (0) 0 (0) 0 (0)
P. latipinna 11.1 (2) 83.3 (15) 5.6 (1) 0 (0)
P. mexicana 6.7 (1) 13.3 (2) 80.0 (12) 0 (0)
P. reticulata 0 (0) 0 (0) 0 (0) 100 (16)
Lapillus 88.1 0.048 188.9 0.001
P. formosa 94.4 (17) 0 (0) 0 (0) 5.6 (1)
P. latipinna 0 (0) 88.9 (16) 5.6 (1) 5.6 (1)
P. mexicana 0 (0) 6.7 (1) 80.0 (12) 13.3 (2)
P. reticulata 0 (0) 6.3 (1) 6.3 (1) 87.5 (14)
All 98.5 0.001 405.8 0.001
P. formosa 100 (18) 0 (0) 0 (0) 0 (0)
P. latipinna 0 (0) 100 (18) 0 (0) 0 (0)
P. mexicana 0 (0) 6.7 (1) 93.3 (14) 0 (0)
P. reticulata 0 (0) 0 (0) 0 (0) 100 (16)
All (size effects removed) 97.0 0.003 344.2 0.001
P. formosa 100 (18) 0 (0) 0 (0) 0 (0)
P. latipinna 0 (0) 94.4 (17) 5.6 (1) 0 (0)
P. mexicana 0 (0) 6.7 (1) 93.3 (14) 0 (0)
P. reticulata 0 (0) 0 (0) 0 (0) 100 (16)
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940 Marine and Freshwater Research T. Schulz-Mirbach and M. Plath