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Title: Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol

Abstract

Switchgrass (Panicum virgatum L.) is a perennial grass that has been designated as an herbaceous model biofuel crop for the United States of America. To facilitate accelerated breeding programs of switchgrass, we developed both an association panel and linkage populations for genome-wide association study (GWAS) and genomic selection (GS). All of the 840 individuals were then genotyped using genotyping by sequencing (GBS), generating 350 GB of sequence in total. As a highly heterozygous polyploid (tetraploid and octoploid) species lacking a reference genome, switchgrass is highly intractable with earlier methodologies of single nucleotide polymorphism (SNP) discovery. To access the genetic diversity of species like switchgrass, we developed a SNP discovery pipeline based on a network approach called the Universal Network-Enabled Analysis Kit (UNEAK). Complexities that hinder single nucleotide polymorphism discovery, such as repeats, paralogs, and sequencing errors, are easily resolved with UNEAK. Here, 1.2 million putative SNPs were discovered in a diverse collection of primarily upland, northern-adapted switchgrass populations. Further analysis of this data set revealed the fundamentally diploid nature of tetraploid switchgrass. Taking advantage of the high conservation of genome structure between switchgrass and foxtail millet (Setaria italica (L.) P. Beauv.), two parent-specific, synteny-based, ultra high-density linkage maps containing amore » total of 88,217 SNPs were constructed. Also, our results showed clear patterns of isolation-by-distance and isolation-by-ploidy in natural populations of switchgrass. Phylogenetic analysis supported a general south-to-north migration path of switchgrass. In addition, this analysis suggested that upland tetraploid arose from upland octoploid. All together, this study provides unparalleled insights into the diversity, genomic complexity, population structure, phylogeny, phylogeography, ploidy, and evolutionary dynamics of switchgrass.« less

Authors:
 [1];  [2];  [1];  [1];  [1];  [3];  [2];  [2]
  1. Cornell University, Ithaca, NY (United States)
  2. Cornell University, Ithaca, NY (United States); US Department of Agriculture (USDA), Ithaca, NY (United States). Agricultural Research Service
  3. US Department of Agriculture (USDA), Madison, WI (United States). Agricultural Research Service; University of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
US Deptartment of Agriculture (USDA), Washington, DC (United States). Agricultural Research Service
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF); US Department of Agriculture (USDA)
OSTI Identifier:
1904732
Grant/Contract Number:  
AI02-07ER64454; 0820619; 0965342
Resource Type:
Accepted Manuscript
Journal Name:
PLoS Genetics
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 1553-7404
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; single nucleotide polymorphisms; genomics; plant genomics; phylogeography; millet; tetraploidy; heterozygosity; ploidy

Citation Formats

Lu, Fei, Lipka, Alexander E., Glaubitz, Jeff, Elshire, Rob, Cherney, Jerome H., Casler, Michael D., Buckler, Edward S., and Costich, Denise E. Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol. United States: N. p., 2013. Web. doi:10.1371/journal.pgen.1003215.
Lu, Fei, Lipka, Alexander E., Glaubitz, Jeff, Elshire, Rob, Cherney, Jerome H., Casler, Michael D., Buckler, Edward S., & Costich, Denise E. Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol. United States. https://doi.org/10.1371/journal.pgen.1003215
Lu, Fei, Lipka, Alexander E., Glaubitz, Jeff, Elshire, Rob, Cherney, Jerome H., Casler, Michael D., Buckler, Edward S., and Costich, Denise E. Thu . "Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol". United States. https://doi.org/10.1371/journal.pgen.1003215. https://www.osti.gov/servlets/purl/1904732.
@article{osti_1904732,
title = {Switchgrass Genomic Diversity, Ploidy, and Evolution: Novel Insights from a Network-Based SNP Discovery Protocol},
author = {Lu, Fei and Lipka, Alexander E. and Glaubitz, Jeff and Elshire, Rob and Cherney, Jerome H. and Casler, Michael D. and Buckler, Edward S. and Costich, Denise E.},
abstractNote = {Switchgrass (Panicum virgatum L.) is a perennial grass that has been designated as an herbaceous model biofuel crop for the United States of America. To facilitate accelerated breeding programs of switchgrass, we developed both an association panel and linkage populations for genome-wide association study (GWAS) and genomic selection (GS). All of the 840 individuals were then genotyped using genotyping by sequencing (GBS), generating 350 GB of sequence in total. As a highly heterozygous polyploid (tetraploid and octoploid) species lacking a reference genome, switchgrass is highly intractable with earlier methodologies of single nucleotide polymorphism (SNP) discovery. To access the genetic diversity of species like switchgrass, we developed a SNP discovery pipeline based on a network approach called the Universal Network-Enabled Analysis Kit (UNEAK). Complexities that hinder single nucleotide polymorphism discovery, such as repeats, paralogs, and sequencing errors, are easily resolved with UNEAK. Here, 1.2 million putative SNPs were discovered in a diverse collection of primarily upland, northern-adapted switchgrass populations. Further analysis of this data set revealed the fundamentally diploid nature of tetraploid switchgrass. Taking advantage of the high conservation of genome structure between switchgrass and foxtail millet (Setaria italica (L.) P. Beauv.), two parent-specific, synteny-based, ultra high-density linkage maps containing a total of 88,217 SNPs were constructed. Also, our results showed clear patterns of isolation-by-distance and isolation-by-ploidy in natural populations of switchgrass. Phylogenetic analysis supported a general south-to-north migration path of switchgrass. In addition, this analysis suggested that upland tetraploid arose from upland octoploid. All together, this study provides unparalleled insights into the diversity, genomic complexity, population structure, phylogeny, phylogeography, ploidy, and evolutionary dynamics of switchgrass.},
doi = {10.1371/journal.pgen.1003215},
journal = {PLoS Genetics},
number = 1,
volume = 9,
place = {United States},
year = {Thu Jan 17 00:00:00 EST 2013},
month = {Thu Jan 17 00:00:00 EST 2013}
}

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  • G3 Genes|Genomes|Genetics, Vol. 9, Issue 3
  • DOI: 10.1534/g3.118.200969

Genomic Prediction for Winter Survival of Lowland Switchgrass in the Northern USA
journal, June 2019

  • Poudel, Hari P.; Sanciangco, Millicent D.; Kaeppler, Shawn M.
  • G3 Genes|Genomes|Genetics, Vol. 9, Issue 6
  • DOI: 10.1534/g3.119.400094

Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data
journal, March 2018


Genotyping-by-Sequencing and Its Exploitation for Forage and Cool-Season Grain Legume Breeding
journal, May 2017

  • Annicchiarico, Paolo; Nazzicari, Nelson; Wei, Yanling
  • Frontiers in Plant Science, Vol. 8
  • DOI: 10.3389/fpls.2017.00679

Discovery of Putative Herbicide Resistance Genes and Its Regulatory Network in Chickpea Using Transcriptome Sequencing
journal, June 2017

  • Iquebal, Mir A.; Soren, Khela R.; Gangwar, Priyanka
  • Frontiers in Plant Science, Vol. 8
  • DOI: 10.3389/fpls.2017.00958

Genome-Wide Association Study Reveals Natural Variations Contributing to Drought Resistance in Crops
journal, June 2017


Genome Scans Reveal Homogenization and Local Adaptations in Populations of the Soybean Cyst Nematode
journal, July 2018

  • Gendron St-Marseille, Anne-Frédérique; Lord, Etienne; Véronneau, Pierre-Yves
  • Frontiers in Plant Science, Vol. 9
  • DOI: 10.3389/fpls.2018.00987

Genomic Prediction for 25 Agronomic and Quality Traits in Alfalfa (Medicago sativa)
journal, August 2018


Genomic Selection for Ascochyta Blight Resistance in Pea
journal, December 2018

  • Carpenter, Margaret A.; Goulden, David S.; Woods, Carmel J.
  • Frontiers in Plant Science, Vol. 9
  • DOI: 10.3389/fpls.2018.01878

Genetic Diversity of Northern Wheatgrass (Elymus lanceolatus ssp. lanceolatus) as Revealed by Genotyping-by-Sequencing
journal, April 2018

  • Li, Pingchuan; Bhattarai, Surendra; Peterson, Gregory
  • Diversity, Vol. 10, Issue 2
  • DOI: 10.3390/d10020023

Next-Generation Sampling: Pairing Genomics with Herbarium Specimens Provides Species-Level Signal in Solidago (Asteraceae)
journal, June 2015

  • Beck, James B.; Semple, John C.
  • Applications in Plant Sciences, Vol. 3, Issue 6
  • DOI: 10.3732/apps.1500014