SlideShare a Scribd company logo
1 of 1
Download to read offline
Figure	
  1:	
  Map	
  of	
  kudzu	
  introduced	
  
range	
  in	
  the	
  USA	
  
Genotyping an Invasive Vine: The Hunt for Polymorphic Microsatellite Loci in Kudzu
(Pueraria montana var. lobata)
Roy Z. Moger-Reischer1,2, Dennis Zhu1,3, Matthew S. Hansen1, Ashley N. Egan1
1Smithsonian National Museum of Natural History, Department of Botany
2University of Rochester, Department of Biology
3University of Missouri-Columbia, Department of Biochemistry
Acknowledgements
We owe a debt of gratitude to Virginia Power, Liz Cottrell, and Gene Hunt for organizing the NHRE program, and to the National Science Foundation
for funding it. Equipment and technical assistance were supplied by Smithsonian NMNH Laboratory of Analytical Biology, with special thanks owed
to Matt Kweskin and Janette Madera.
References
1  Webster, C.R.; Jenkins, M. A. & Jose, S. “Woody Invaders and the Challenges They Pose to Forest Ecosystems in the Eastern United States”
Journal of Forestry, Vol. 104, 366-274. 2006.
2  Forseth, I. N., & Innis, A. F. (2004). Kudzu (Pueraria montana): history, physiology, and ecology combine to make a major ecosystem threat.
Critical reviews in plant sciences, 23(5), 401-413.
3  Culley, T. M., et al. (2013). An efficient technique for primer development and application that integrates fluorescent labeling and multiplex PCR.
Applications in plant sciences, 1(10).
4  Pritchard, J. K., Stephens, M., & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics, 155(2),
945-959.
5  Excoffier, L. G. Laval, and S. Schneider (2005) Arlequin ver. 3.0: An integrated software package for population genetics data analysis.
Evolutionary Bioinformatics Online 1:47-50.
6  Wright S (1978) Evolution and the Genetics of Populations. Vol. 4. Variability Within and Among Natural Populations. Univ. of Chicago Press,
Chicago.
7  Evanno, G., Regnaut, S., & Goudet, J. (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation
study. Molecular ecology, 14(8), 2611-2620.
8  Earl, Dent A. and vonHoldt, Bridgett M. (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and
implementing the Evanno method. Conservation Genetics Resources vol. 4(2), 359-361
1) Fill holes in the data set for 81 kudzu individuals at
microsatellite loci already partially genotyped
2) Augment our suite of available kudzu microsatellite
loci & optimize the new primer pairs
3) Genotype the sample individuals at the new loci
4) Use genotype data to investigate genetic variability
and population structure of this initial sample
Objectives
The climbing vine kudzu, a member of the leguminous
pea family (Fabaceae), was introduced into the USA
from its native Asia in the 1800s. It was initially lauded
for efficacy in erosion control along highways and as a
high-quality grazing crop for livestock1. P. montana var.
lobata has since become a truculent invasive, spreading
via vegetative runners and seed dispersal2. Seven
million acres of the American southeast are now
plagued by this vine (Figure 1).
Questions remain: In how many instances was kudzu
introduced to the USA? Are there multiple, distinct
genetic sources? Elucidating the population genetics of
this invader may help us understand its aggressiveness
and ultimately inform ecological countermeasures. One
way to assess genetic diversity is via microsatellite
analysis, and we are undertaking this for kudzu
populations from both Asia and the USA.
Introduction
Methods
Previous Efforts:
1)  Kudzu sample individuals were collected by A. N.
Egan in 2011 - 2014 across native and introduced
ranges (Figure 2)
2)  DNA & RNA were extracted, and transcriptomes
were assessed
3)  From transcriptomes, primer pairs were designed by
M. S. Hansen with the aim of amplifying 30 specified
trinucleotide-repeat microsatellite loci
Current Efforts:
1)  Optimize PCR conditions for new primer pairs:
gmpc4, PL1 PL11, PP1, PP2 (35 cycles; annealing
temperature = 50 – 57° C; template DNA = 1 μL)
2)  Perform three-primer PCR amplification of
microsatellites with fluorescent-labeled (6FAM, VIC,
or PET dye) primers after Culley et al3
3)  Determine fragment lengths on ABI 3730 DNA
Analyzer
4)  Genotype alleles using GeneMapper to locate peaks
in fluorescence along a size spectrum
5)  Assign individuals to putative population clusters and
visualize population structure using Structure4
6)  Analyze genetic diversity metrics using Arlequin5
United	
  States	
   Asia	
  
Figure	
  2:	
  P.	
  montana	
  var.	
  lobata	
  collec?on	
  sites	
  in	
  USA,	
  
Japan,	
  and	
  China.	
  (Image	
  generated	
  by	
  GoogleEarth)	
  
Tables & Figures
Source	
  of	
   Sum	
  of	
   Variance	
   Percentage	
  
varia?on	
   squares	
   components	
   varia?on	
  
Among	
  
Pop’ns	
   8.221	
   0.06223	
   3.11137	
   FST:	
  0.03111	
  
Among	
  
Individ’ls	
   107.555	
   0.19029	
   9.51477	
   FIS:	
   0.0982	
  
Within	
  
Individ’ls	
   94	
   1.74747	
   87.37387	
   FIT:	
   0.12626	
  
Total	
   209.777	
   2	
   100	
  
USA	
   China	
   Japan	
  
USA	
   	
  	
   	
  	
   	
  	
  
	
  	
   	
  	
  
China	
   0.0000	
   	
  	
  
(0.78378)	
   	
  	
  
Japan	
   0.00000	
   0.03050	
  
(0.99099)	
   (0.00901)	
  
F	
  sta?s?cs	
  are	
  averaged	
  over	
  all	
  loci.	
  FST:	
  measures	
  gene?c	
  
driX	
   caused	
   by	
   subdivision	
   of	
   the	
   total	
   popula?on.	
   FST	
   <	
  
0.05	
   implies	
   “li[le”	
   gene?c	
   divergence	
   between	
   groups6.	
  
FIS:	
   the	
   inbreeding	
   coefficient,	
   measures	
   devia?on	
   of	
   H	
  
Obs.	
  from	
  H	
  Exp.	
  FIT:	
  measures	
  the	
  loss	
  in	
  heterozygosity	
  
for	
   an	
   individual,	
   on	
   average,	
   compared	
   to	
   the	
   total	
  
sample.	
  
	
  
Table	
  2:	
  AMOVA	
  Results	
  
FST	
   values	
   <	
   0.05	
   imply	
   negligible	
  
gene?c	
   differen?a?on.	
   P	
   values	
   are	
  
given	
  in	
  parentheses.	
  
Table	
  3:	
  Pairwise	
  FST	
  
Locus	
  
USA	
  	
  
H	
  Exp.	
   H	
  Obs.	
   #	
  Alleles	
  
China	
  	
  
H	
  Exp.	
   H	
  Obs.	
   #	
  Alleles	
  
Japan	
  	
  
H	
  Exp.	
   H	
  Obs.	
   #	
  Alleles	
  
PL7	
   0.746	
   0.560	
   8	
   0.775	
   0.684	
   8	
   0.872	
   0.706	
   11	
  
PP4	
   0.561	
   0.609	
   4	
   0.617	
   0.412	
   5	
   0.617	
   0.444	
   6	
  
PP10	
   0.513	
   0.680	
   5	
   0.697	
   0.647	
   5	
   0.446	
   0.353	
   5	
  
PP13	
   0.079	
   0.080	
   3	
   0.435	
   0.250	
   7	
   0.181	
   0.125	
   4	
  
PL1	
   0.241	
   0.261	
   4	
   0.611	
   0.400	
   4	
   0.138	
   0.143	
   2	
  
PL11	
   0.702	
   0.792	
   5	
   0.723	
   0.737	
   7	
   0.506	
   0.529	
   3	
  
PP2	
   0.600	
   0.667	
   3	
   0.851	
   0.600	
   8	
   0.736	
   0.750	
   5	
  
Mean	
   0.492	
   0.521	
   4.571	
   0.672	
   0.533	
   6.286	
   0.499	
   0.436	
   5.143	
  
s.d.	
   0.245	
   0.255	
   1.718	
   0.135	
   0.180	
   1.604	
   0.272	
   0.248	
   2.911	
  
Table	
  1:	
  Diversity	
  Indices	
  
H	
  Exp./	
  H	
  Obs.	
  =	
  expected/	
  observed	
  heterozygosity.	
  	
  
In general, China’s diversity statistics exceeded those of the other two populations (Table
1), with highest percent of heterozygotes and no. of alleles. China had the most
inbreeding (H Obs. < H Exp.); by contrast, USA exhibited outbreeding. AMOVA
compared genetic variation within individuals, within populations, and in the total sample
(Table 2). Only 3% of genetic diversity was between populations, implying a small
amount of drift between them in the evolutionarily-meager 150 years since isolation.
Pairwise FST (Table 3) is another indication of the genetic distance between
subpopulations. Only China and Japan subpopulations showed any differentiation. The
USA population may not be old enough to have substantially diverged. K = 2 provided
the most plausible arrangement of population structure (Figures 3, 4). This implies that
USA and Japan individuals fall into the same genetic group.
My main goal was to enlarge the number of known polymorphic microsatellite loci for P.
montana var. lobata. Three new primer pairs & loci were incorporated, and robustness of
the data set was improved for numerous individuals through troubleshooting and
optimization of primers already in use. Many primers were not included in this analysis
for various reasons: lack of polymorphism; PET fluorescent dye indistinguishable from
size standard; a haploid cpDNA locus; project timeframe ended before results returned. In
sum, 7 microsatellite loci were used to carry out preliminary population genetic analysis
of kudzu from the USA and Asia using the 63 individuals with < 50% missing data. The
results of this early work cannot be conclusive, but indicate kudzu individuals are
genetically diverse and divergence between pop’ns is low. China’s pop’n, the oldest and
largest, exhibited the greatest diversity. The pop’n structure, with the USA kudzu pop’n
most closely related to the Japanese pop’n, supports an hypothesis of a single introduction
event, from Japan. On the other hand, the USA pop’n showed an unexpected surfeit of
heterozygosity. Could there be ongoing gene flow between the USA pop’n and others
overseas? This hypothesis is supported by infinitesimal FST and pairwise FSTs (Tables 2,
3). An alternative hypothesis, which reconciles USA outbreeding with the pop’n structure
results, is that USA kudzu may hybridize with other P. montana subspecies.
Results & Discussion	
  	
  
Figure	
   4:	
   Popula?on	
   probabili?es	
   as	
  
calculated	
   by	
   Evanno7	
   method.	
   (Image	
  
generated	
  by	
  Structure	
  Harvester8)	
  	
  
	
  
Figure	
  3:	
  Puta?ve	
  P.	
  montana	
  var.	
  lobata	
  popula?on	
  structure	
  
with	
  K	
  =	
  2,	
  where	
  K	
  is	
  the	
  number	
  of	
  gene?c	
  clusters.	
  1:	
  USA	
  
individuals,	
  n	
  =	
  25.	
  2:	
  China,	
  n	
  =	
  20.	
  3:	
  Japan,	
  n	
  =	
  18.	
   	
  (Image	
  
generated	
  by	
  Structure4)	
  
	
  
Future Directions	
  
u The data set can be reanalyzed with the addition of loci that weren’t sequenced during
project timeframe.
u Primer pairs with currently-incompatible fluorescent label can be developed further.
u Sample size of kudzu individuals can be increased to generate more robust
assessments of genetic diversity and population structure.
u Further and more wide-ranging populations can be included; examination of kudzu
populations from South America, Australia, and/or Africa could prove interesting.

More Related Content

What's hot

Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X Crosses
Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X CrossesFrequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X Crosses
Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X CrossesJournal of Agriculture and Crops
 
2015. Patrik Schnable. Trait associated SNPs provide insights into heterosis...
2015. Patrik Schnable. Trait associated SNPs provide insights  into heterosis...2015. Patrik Schnable. Trait associated SNPs provide insights  into heterosis...
2015. Patrik Schnable. Trait associated SNPs provide insights into heterosis...FOODCROPS
 
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...José Neto
 
Colloquium Presentation 2009 Fall Bongsoo
Colloquium Presentation 2009 Fall BongsooColloquium Presentation 2009 Fall Bongsoo
Colloquium Presentation 2009 Fall BongsooBongsoo Park
 
Complex adaptation in Zea
Complex adaptation in ZeaComplex adaptation in Zea
Complex adaptation in Zeajrossibarra
 
So close no matter how far: sympatric slow worm lizards look alike but share ...
So close no matter how far: sympatric slow worm lizards look alike but share ...So close no matter how far: sympatric slow worm lizards look alike but share ...
So close no matter how far: sympatric slow worm lizards look alike but share ...EvanthiaThanou1
 
Experimental validation, genetic map saturation and gene flow pilot study in ...
Experimental validation, genetic map saturation and gene flow pilot study in ...Experimental validation, genetic map saturation and gene flow pilot study in ...
Experimental validation, genetic map saturation and gene flow pilot study in ...CIAT
 
Population genetics of maize domestication, adaptation, and improvement
Population genetics of maize domestication, adaptation, and improvementPopulation genetics of maize domestication, adaptation, and improvement
Population genetics of maize domestication, adaptation, and improvementjrossibarra
 
Masinde et al first publication
Masinde et al first publicationMasinde et al first publication
Masinde et al first publicationWatson Ngenya
 
Resume-CV - April 2016
Resume-CV - April 2016Resume-CV - April 2016
Resume-CV - April 2016Avanti Gokhale
 
Garlic Mustard Demography
Garlic Mustard DemographyGarlic Mustard Demography
Garlic Mustard DemographyUSDAweeds
 
New tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattleNew tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattleJohn B. Cole, Ph.D.
 
Science 2011-fumagalli-1245-9
Science 2011-fumagalli-1245-9Science 2011-fumagalli-1245-9
Science 2011-fumagalli-1245-9Sérgio Sacani
 

What's hot (20)

Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X Crosses
Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X CrossesFrequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X Crosses
Frequency of Polyploids of Solanum tuberosum Dihaploids in 2X × 2X Crosses
 
2015. Patrik Schnable. Trait associated SNPs provide insights into heterosis...
2015. Patrik Schnable. Trait associated SNPs provide insights  into heterosis...2015. Patrik Schnable. Trait associated SNPs provide insights  into heterosis...
2015. Patrik Schnable. Trait associated SNPs provide insights into heterosis...
 
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...
Comparative transcriptome analysis of Eugenia uniflora L. (Myrtaceae) shed li...
 
Colloquium Presentation 2009 Fall Bongsoo
Colloquium Presentation 2009 Fall BongsooColloquium Presentation 2009 Fall Bongsoo
Colloquium Presentation 2009 Fall Bongsoo
 
Complex adaptation in Zea
Complex adaptation in ZeaComplex adaptation in Zea
Complex adaptation in Zea
 
Unlocking the value and use potential of genetic resources
Unlocking the value and use potential of genetic resourcesUnlocking the value and use potential of genetic resources
Unlocking the value and use potential of genetic resources
 
So close no matter how far: sympatric slow worm lizards look alike but share ...
So close no matter how far: sympatric slow worm lizards look alike but share ...So close no matter how far: sympatric slow worm lizards look alike but share ...
So close no matter how far: sympatric slow worm lizards look alike but share ...
 
387.full
387.full387.full
387.full
 
Experimental validation, genetic map saturation and gene flow pilot study in ...
Experimental validation, genetic map saturation and gene flow pilot study in ...Experimental validation, genetic map saturation and gene flow pilot study in ...
Experimental validation, genetic map saturation and gene flow pilot study in ...
 
Population genetics of maize domestication, adaptation, and improvement
Population genetics of maize domestication, adaptation, and improvementPopulation genetics of maize domestication, adaptation, and improvement
Population genetics of maize domestication, adaptation, and improvement
 
Masinde et al first publication
Masinde et al first publicationMasinde et al first publication
Masinde et al first publication
 
Poster_Salomon&Sklenar
Poster_Salomon&SklenarPoster_Salomon&Sklenar
Poster_Salomon&Sklenar
 
Resume-CV - April 2016
Resume-CV - April 2016Resume-CV - April 2016
Resume-CV - April 2016
 
REUpsoter
REUpsoterREUpsoter
REUpsoter
 
Nucleotide Variation and Selective Pressure in the Mitochondrial Genome of Af...
Nucleotide Variation and Selective Pressure in the Mitochondrial Genome of Af...Nucleotide Variation and Selective Pressure in the Mitochondrial Genome of Af...
Nucleotide Variation and Selective Pressure in the Mitochondrial Genome of Af...
 
Garlic Mustard Demography
Garlic Mustard DemographyGarlic Mustard Demography
Garlic Mustard Demography
 
New tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattleNew tools for genomic selection in dairy cattle
New tools for genomic selection in dairy cattle
 
Church apr2013
Church apr2013Church apr2013
Church apr2013
 
Science 2011-fumagalli-1245-9
Science 2011-fumagalli-1245-9Science 2011-fumagalli-1245-9
Science 2011-fumagalli-1245-9
 
Rice
RiceRice
Rice
 

Similar to Genotyping an invasive vine

EVE161: Microbial Phylogenomics - Class 6 - Tree of Life Example
EVE161: Microbial Phylogenomics - Class 6 - Tree of Life ExampleEVE161: Microbial Phylogenomics - Class 6 - Tree of Life Example
EVE161: Microbial Phylogenomics - Class 6 - Tree of Life ExampleJonathan Eisen
 
cloning. Second, it is sensitive. Activities canbe detected
cloning. Second, it is sensitive. Activities canbe detected cloning. Second, it is sensitive. Activities canbe detected
cloning. Second, it is sensitive. Activities canbe detected WilheminaRossi174
 
ZFN-Science-Rats
ZFN-Science-RatsZFN-Science-Rats
ZFN-Science-RatsGreg Davis
 
EVE 161 Winter 2018 Class 18
EVE 161 Winter 2018 Class 18EVE 161 Winter 2018 Class 18
EVE 161 Winter 2018 Class 18Jonathan Eisen
 
Functionally annotate genomic variants
Functionally annotate genomic variantsFunctionally annotate genomic variants
Functionally annotate genomic variantsDenis C. Bauer
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Jonathan Eisen
 
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...Alim Polat
 
EVE 161 Winter 2018 Class 13
EVE 161 Winter 2018 Class 13EVE 161 Winter 2018 Class 13
EVE 161 Winter 2018 Class 13Jonathan Eisen
 
Many human accelerated regions are developmental enhancers
Many human accelerated regions are developmental enhancersMany human accelerated regions are developmental enhancers
Many human accelerated regions are developmental enhancersJosé Luis Moreno Garvayo
 
Bioinformatica 24-11-2011-t6-phylogenetics
Bioinformatica 24-11-2011-t6-phylogeneticsBioinformatica 24-11-2011-t6-phylogenetics
Bioinformatica 24-11-2011-t6-phylogeneticsProf. Wim Van Criekinge
 
Rapid Impact Assessment of Climatic and Physio-graphic Changes on Flagship G...
Rapid Impact Assessment of Climatic and Physio-graphic Changes  on Flagship G...Rapid Impact Assessment of Climatic and Physio-graphic Changes  on Flagship G...
Rapid Impact Assessment of Climatic and Physio-graphic Changes on Flagship G...Arvinder Singh
 
Chasing a Unicorn for Model Host-Microbiome-Systems
Chasing a Unicorn for Model Host-Microbiome-Systems Chasing a Unicorn for Model Host-Microbiome-Systems
Chasing a Unicorn for Model Host-Microbiome-Systems Jonathan Eisen
 
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3MIB200A at UCDavis Module: Microbial Phylogeny; Class 3
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3Jonathan Eisen
 
Plang functional genome
Plang functional genomePlang functional genome
Plang functional genometcha163
 
Why Life is Difficult, and What We MIght Do About It
Why Life is Difficult, and What We MIght Do About ItWhy Life is Difficult, and What We MIght Do About It
Why Life is Difficult, and What We MIght Do About ItAnita de Waard
 

Similar to Genotyping an invasive vine (20)

McAllister et al
McAllister et alMcAllister et al
McAllister et al
 
EVE161: Microbial Phylogenomics - Class 6 - Tree of Life Example
EVE161: Microbial Phylogenomics - Class 6 - Tree of Life ExampleEVE161: Microbial Phylogenomics - Class 6 - Tree of Life Example
EVE161: Microbial Phylogenomics - Class 6 - Tree of Life Example
 
cloning. Second, it is sensitive. Activities canbe detected
cloning. Second, it is sensitive. Activities canbe detected cloning. Second, it is sensitive. Activities canbe detected
cloning. Second, it is sensitive. Activities canbe detected
 
ZFN-Science-Rats
ZFN-Science-RatsZFN-Science-Rats
ZFN-Science-Rats
 
EVE 161 Winter 2018 Class 18
EVE 161 Winter 2018 Class 18EVE 161 Winter 2018 Class 18
EVE 161 Winter 2018 Class 18
 
Functionally annotate genomic variants
Functionally annotate genomic variantsFunctionally annotate genomic variants
Functionally annotate genomic variants
 
Bio
BioBio
Bio
 
Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5Microbial Phylogenomics (EVE161) Class 5
Microbial Phylogenomics (EVE161) Class 5
 
FROM THE CLASSROOM TO AN OPINION NOTE: COMPLEMENTARY ANALYSIS OF THE GENETIC ...
FROM THE CLASSROOM TO AN OPINION NOTE: COMPLEMENTARY ANALYSIS OF THE GENETIC ...FROM THE CLASSROOM TO AN OPINION NOTE: COMPLEMENTARY ANALYSIS OF THE GENETIC ...
FROM THE CLASSROOM TO AN OPINION NOTE: COMPLEMENTARY ANALYSIS OF THE GENETIC ...
 
Barbujani leicester
Barbujani leicesterBarbujani leicester
Barbujani leicester
 
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...
20140824 Abnormalities in human pluripotent cells due to reprogramming mechan...
 
EVE 161 Winter 2018 Class 13
EVE 161 Winter 2018 Class 13EVE 161 Winter 2018 Class 13
EVE 161 Winter 2018 Class 13
 
Many human accelerated regions are developmental enhancers
Many human accelerated regions are developmental enhancersMany human accelerated regions are developmental enhancers
Many human accelerated regions are developmental enhancers
 
Examen talk
Examen talkExamen talk
Examen talk
 
Bioinformatica 24-11-2011-t6-phylogenetics
Bioinformatica 24-11-2011-t6-phylogeneticsBioinformatica 24-11-2011-t6-phylogenetics
Bioinformatica 24-11-2011-t6-phylogenetics
 
Rapid Impact Assessment of Climatic and Physio-graphic Changes on Flagship G...
Rapid Impact Assessment of Climatic and Physio-graphic Changes  on Flagship G...Rapid Impact Assessment of Climatic and Physio-graphic Changes  on Flagship G...
Rapid Impact Assessment of Climatic and Physio-graphic Changes on Flagship G...
 
Chasing a Unicorn for Model Host-Microbiome-Systems
Chasing a Unicorn for Model Host-Microbiome-Systems Chasing a Unicorn for Model Host-Microbiome-Systems
Chasing a Unicorn for Model Host-Microbiome-Systems
 
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3MIB200A at UCDavis Module: Microbial Phylogeny; Class 3
MIB200A at UCDavis Module: Microbial Phylogeny; Class 3
 
Plang functional genome
Plang functional genomePlang functional genome
Plang functional genome
 
Why Life is Difficult, and What We MIght Do About It
Why Life is Difficult, and What We MIght Do About ItWhy Life is Difficult, and What We MIght Do About It
Why Life is Difficult, and What We MIght Do About It
 

Recently uploaded

BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.PraveenaKalaiselvan1
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Jshifa
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzohaibmir069
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett SquareIsiahStephanRadaza
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trssuser06f238
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsAArockiyaNisha
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...jana861314
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physicsvishikhakeshava1
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxyaramohamed343013
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...anilsa9823
 

Recently uploaded (20)

BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
zoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistanzoogeography of pakistan.pptx fauna of Pakistan
zoogeography of pakistan.pptx fauna of Pakistan
 
Module 4: Mendelian Genetics and Punnett Square
Module 4:  Mendelian Genetics and Punnett SquareModule 4:  Mendelian Genetics and Punnett Square
Module 4: Mendelian Genetics and Punnett Square
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 tr
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based Nanomaterials
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Work, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE PhysicsWork, Energy and Power for class 10 ICSE Physics
Work, Energy and Power for class 10 ICSE Physics
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
Scheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docxScheme-of-Work-Science-Stage-4 cambridge science.docx
Scheme-of-Work-Science-Stage-4 cambridge science.docx
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
 

Genotyping an invasive vine

  • 1. Figure  1:  Map  of  kudzu  introduced   range  in  the  USA   Genotyping an Invasive Vine: The Hunt for Polymorphic Microsatellite Loci in Kudzu (Pueraria montana var. lobata) Roy Z. Moger-Reischer1,2, Dennis Zhu1,3, Matthew S. Hansen1, Ashley N. Egan1 1Smithsonian National Museum of Natural History, Department of Botany 2University of Rochester, Department of Biology 3University of Missouri-Columbia, Department of Biochemistry Acknowledgements We owe a debt of gratitude to Virginia Power, Liz Cottrell, and Gene Hunt for organizing the NHRE program, and to the National Science Foundation for funding it. Equipment and technical assistance were supplied by Smithsonian NMNH Laboratory of Analytical Biology, with special thanks owed to Matt Kweskin and Janette Madera. References 1  Webster, C.R.; Jenkins, M. A. & Jose, S. “Woody Invaders and the Challenges They Pose to Forest Ecosystems in the Eastern United States” Journal of Forestry, Vol. 104, 366-274. 2006. 2  Forseth, I. N., & Innis, A. F. (2004). Kudzu (Pueraria montana): history, physiology, and ecology combine to make a major ecosystem threat. Critical reviews in plant sciences, 23(5), 401-413. 3  Culley, T. M., et al. (2013). An efficient technique for primer development and application that integrates fluorescent labeling and multiplex PCR. Applications in plant sciences, 1(10). 4  Pritchard, J. K., Stephens, M., & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics, 155(2), 945-959. 5  Excoffier, L. G. Laval, and S. Schneider (2005) Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1:47-50. 6  Wright S (1978) Evolution and the Genetics of Populations. Vol. 4. Variability Within and Among Natural Populations. Univ. of Chicago Press, Chicago. 7  Evanno, G., Regnaut, S., & Goudet, J. (2005). Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Molecular ecology, 14(8), 2611-2620. 8  Earl, Dent A. and vonHoldt, Bridgett M. (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genetics Resources vol. 4(2), 359-361 1) Fill holes in the data set for 81 kudzu individuals at microsatellite loci already partially genotyped 2) Augment our suite of available kudzu microsatellite loci & optimize the new primer pairs 3) Genotype the sample individuals at the new loci 4) Use genotype data to investigate genetic variability and population structure of this initial sample Objectives The climbing vine kudzu, a member of the leguminous pea family (Fabaceae), was introduced into the USA from its native Asia in the 1800s. It was initially lauded for efficacy in erosion control along highways and as a high-quality grazing crop for livestock1. P. montana var. lobata has since become a truculent invasive, spreading via vegetative runners and seed dispersal2. Seven million acres of the American southeast are now plagued by this vine (Figure 1). Questions remain: In how many instances was kudzu introduced to the USA? Are there multiple, distinct genetic sources? Elucidating the population genetics of this invader may help us understand its aggressiveness and ultimately inform ecological countermeasures. One way to assess genetic diversity is via microsatellite analysis, and we are undertaking this for kudzu populations from both Asia and the USA. Introduction Methods Previous Efforts: 1)  Kudzu sample individuals were collected by A. N. Egan in 2011 - 2014 across native and introduced ranges (Figure 2) 2)  DNA & RNA were extracted, and transcriptomes were assessed 3)  From transcriptomes, primer pairs were designed by M. S. Hansen with the aim of amplifying 30 specified trinucleotide-repeat microsatellite loci Current Efforts: 1)  Optimize PCR conditions for new primer pairs: gmpc4, PL1 PL11, PP1, PP2 (35 cycles; annealing temperature = 50 – 57° C; template DNA = 1 μL) 2)  Perform three-primer PCR amplification of microsatellites with fluorescent-labeled (6FAM, VIC, or PET dye) primers after Culley et al3 3)  Determine fragment lengths on ABI 3730 DNA Analyzer 4)  Genotype alleles using GeneMapper to locate peaks in fluorescence along a size spectrum 5)  Assign individuals to putative population clusters and visualize population structure using Structure4 6)  Analyze genetic diversity metrics using Arlequin5 United  States   Asia   Figure  2:  P.  montana  var.  lobata  collec?on  sites  in  USA,   Japan,  and  China.  (Image  generated  by  GoogleEarth)   Tables & Figures Source  of   Sum  of   Variance   Percentage   varia?on   squares   components   varia?on   Among   Pop’ns   8.221   0.06223   3.11137   FST:  0.03111   Among   Individ’ls   107.555   0.19029   9.51477   FIS:   0.0982   Within   Individ’ls   94   1.74747   87.37387   FIT:   0.12626   Total   209.777   2   100   USA   China   Japan   USA                       China   0.0000       (0.78378)       Japan   0.00000   0.03050   (0.99099)   (0.00901)   F  sta?s?cs  are  averaged  over  all  loci.  FST:  measures  gene?c   driX   caused   by   subdivision   of   the   total   popula?on.   FST   <   0.05   implies   “li[le”   gene?c   divergence   between   groups6.   FIS:   the   inbreeding   coefficient,   measures   devia?on   of   H   Obs.  from  H  Exp.  FIT:  measures  the  loss  in  heterozygosity   for   an   individual,   on   average,   compared   to   the   total   sample.     Table  2:  AMOVA  Results   FST   values   <   0.05   imply   negligible   gene?c   differen?a?on.   P   values   are   given  in  parentheses.   Table  3:  Pairwise  FST   Locus   USA     H  Exp.   H  Obs.   #  Alleles   China     H  Exp.   H  Obs.   #  Alleles   Japan     H  Exp.   H  Obs.   #  Alleles   PL7   0.746   0.560   8   0.775   0.684   8   0.872   0.706   11   PP4   0.561   0.609   4   0.617   0.412   5   0.617   0.444   6   PP10   0.513   0.680   5   0.697   0.647   5   0.446   0.353   5   PP13   0.079   0.080   3   0.435   0.250   7   0.181   0.125   4   PL1   0.241   0.261   4   0.611   0.400   4   0.138   0.143   2   PL11   0.702   0.792   5   0.723   0.737   7   0.506   0.529   3   PP2   0.600   0.667   3   0.851   0.600   8   0.736   0.750   5   Mean   0.492   0.521   4.571   0.672   0.533   6.286   0.499   0.436   5.143   s.d.   0.245   0.255   1.718   0.135   0.180   1.604   0.272   0.248   2.911   Table  1:  Diversity  Indices   H  Exp./  H  Obs.  =  expected/  observed  heterozygosity.     In general, China’s diversity statistics exceeded those of the other two populations (Table 1), with highest percent of heterozygotes and no. of alleles. China had the most inbreeding (H Obs. < H Exp.); by contrast, USA exhibited outbreeding. AMOVA compared genetic variation within individuals, within populations, and in the total sample (Table 2). Only 3% of genetic diversity was between populations, implying a small amount of drift between them in the evolutionarily-meager 150 years since isolation. Pairwise FST (Table 3) is another indication of the genetic distance between subpopulations. Only China and Japan subpopulations showed any differentiation. The USA population may not be old enough to have substantially diverged. K = 2 provided the most plausible arrangement of population structure (Figures 3, 4). This implies that USA and Japan individuals fall into the same genetic group. My main goal was to enlarge the number of known polymorphic microsatellite loci for P. montana var. lobata. Three new primer pairs & loci were incorporated, and robustness of the data set was improved for numerous individuals through troubleshooting and optimization of primers already in use. Many primers were not included in this analysis for various reasons: lack of polymorphism; PET fluorescent dye indistinguishable from size standard; a haploid cpDNA locus; project timeframe ended before results returned. In sum, 7 microsatellite loci were used to carry out preliminary population genetic analysis of kudzu from the USA and Asia using the 63 individuals with < 50% missing data. The results of this early work cannot be conclusive, but indicate kudzu individuals are genetically diverse and divergence between pop’ns is low. China’s pop’n, the oldest and largest, exhibited the greatest diversity. The pop’n structure, with the USA kudzu pop’n most closely related to the Japanese pop’n, supports an hypothesis of a single introduction event, from Japan. On the other hand, the USA pop’n showed an unexpected surfeit of heterozygosity. Could there be ongoing gene flow between the USA pop’n and others overseas? This hypothesis is supported by infinitesimal FST and pairwise FSTs (Tables 2, 3). An alternative hypothesis, which reconciles USA outbreeding with the pop’n structure results, is that USA kudzu may hybridize with other P. montana subspecies. Results & Discussion     Figure   4:   Popula?on   probabili?es   as   calculated   by   Evanno7   method.   (Image   generated  by  Structure  Harvester8)       Figure  3:  Puta?ve  P.  montana  var.  lobata  popula?on  structure   with  K  =  2,  where  K  is  the  number  of  gene?c  clusters.  1:  USA   individuals,  n  =  25.  2:  China,  n  =  20.  3:  Japan,  n  =  18.    (Image   generated  by  Structure4)     Future Directions   u The data set can be reanalyzed with the addition of loci that weren’t sequenced during project timeframe. u Primer pairs with currently-incompatible fluorescent label can be developed further. u Sample size of kudzu individuals can be increased to generate more robust assessments of genetic diversity and population structure. u Further and more wide-ranging populations can be included; examination of kudzu populations from South America, Australia, and/or Africa could prove interesting.