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Title: High-Density Single Nucleotide Polymorphism Linkage Maps of Lowland Switchgrass using Genotyping-by-Sequencing

Abstract

Switchgrass (Panicum virgatum L.) is a warm-season perennial grass with promising potential as a bioenergy crop in the United States. However, the lack of genomic resources has slowed the development of plant lines with optimal characteristics for sustainable feedstock production. We generated high-density single nucleotide polymorphism (SNP) linkage maps using a reduced-representation sequencing approach by genotyping 231 F1 progeny of a cross between two parents of lowland ecotype from the cultivars Kanlow and Alamo. Over 350 million reads were generated and aligned, which enabled identification and ordering of 4611 high-quality SNPs. The total lengths of the resulting framework maps were 1770 cM for the Kanlow parent and 2059 cM for the Alamo parent. These maps show collinearity with maps generated with polymerase chain reaction (PCR)-based simple-sequence repeat (SSR) markers, and new SNP markers were identified in previously unpopulated regions of the genome. Transmission segregation distortion affected all linkage groups (LGs) to differing degrees, and ordering of distorted markers highlighted several regions of unequal inheritance. Framework maps were adversely affected by the addition of distorted markers with varying severity, but distorted maps were of higher marker density and provided additional information for analysis. Alignment of these linkage maps with a draftmore » version of the switchgrass genome assembly demonstrated high levels of collinearity and provides greater confidence in the validity of both resources. This methodology has proven to be a rapid and cost-effective way to generate high-quality linkage maps of an outcrossing species.« less

Authors:
 [1];  [1];  [2];  [3];  [3];  [1]
  1. USDA-ARS, Albany, CA (United States)
  2. Univ. of California, Davis, CA (United States)
  3. HudsonAlpha Genome Sequencing Center, Huntsville, AL (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); US Dept. of Agriculture (USDA), Washington, DC (United States). Agricultural Research Service (ARS)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1616040
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
The Plant Genome
Additional Journal Information:
Journal Volume: 8; Journal Issue: 2; Journal ID: ISSN 1940-3372
Publisher:
Alliance of Crop, Soil, and Environmental Science Societies
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Fiedler, Jason D., Lanzatella, Christina, Okada, Miki, Jenkins, Jerry, Schmutz, Jeremy, and Tobias, Christian M. High-Density Single Nucleotide Polymorphism Linkage Maps of Lowland Switchgrass using Genotyping-by-Sequencing. United States: N. p., 2015. Web. doi:10.3835/plantgenome2014.10.0065.
Fiedler, Jason D., Lanzatella, Christina, Okada, Miki, Jenkins, Jerry, Schmutz, Jeremy, & Tobias, Christian M. High-Density Single Nucleotide Polymorphism Linkage Maps of Lowland Switchgrass using Genotyping-by-Sequencing. United States. https://doi.org/10.3835/plantgenome2014.10.0065
Fiedler, Jason D., Lanzatella, Christina, Okada, Miki, Jenkins, Jerry, Schmutz, Jeremy, and Tobias, Christian M. Wed . "High-Density Single Nucleotide Polymorphism Linkage Maps of Lowland Switchgrass using Genotyping-by-Sequencing". United States. https://doi.org/10.3835/plantgenome2014.10.0065. https://www.osti.gov/servlets/purl/1616040.
@article{osti_1616040,
title = {High-Density Single Nucleotide Polymorphism Linkage Maps of Lowland Switchgrass using Genotyping-by-Sequencing},
author = {Fiedler, Jason D. and Lanzatella, Christina and Okada, Miki and Jenkins, Jerry and Schmutz, Jeremy and Tobias, Christian M.},
abstractNote = {Switchgrass (Panicum virgatum L.) is a warm-season perennial grass with promising potential as a bioenergy crop in the United States. However, the lack of genomic resources has slowed the development of plant lines with optimal characteristics for sustainable feedstock production. We generated high-density single nucleotide polymorphism (SNP) linkage maps using a reduced-representation sequencing approach by genotyping 231 F1 progeny of a cross between two parents of lowland ecotype from the cultivars Kanlow and Alamo. Over 350 million reads were generated and aligned, which enabled identification and ordering of 4611 high-quality SNPs. The total lengths of the resulting framework maps were 1770 cM for the Kanlow parent and 2059 cM for the Alamo parent. These maps show collinearity with maps generated with polymerase chain reaction (PCR)-based simple-sequence repeat (SSR) markers, and new SNP markers were identified in previously unpopulated regions of the genome. Transmission segregation distortion affected all linkage groups (LGs) to differing degrees, and ordering of distorted markers highlighted several regions of unequal inheritance. Framework maps were adversely affected by the addition of distorted markers with varying severity, but distorted maps were of higher marker density and provided additional information for analysis. Alignment of these linkage maps with a draft version of the switchgrass genome assembly demonstrated high levels of collinearity and provides greater confidence in the validity of both resources. This methodology has proven to be a rapid and cost-effective way to generate high-quality linkage maps of an outcrossing species.},
doi = {10.3835/plantgenome2014.10.0065},
journal = {The Plant Genome},
number = 2,
volume = 8,
place = {United States},
year = {Wed Jul 01 00:00:00 EDT 2015},
month = {Wed Jul 01 00:00:00 EDT 2015}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

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Cited by: 8 works
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Figures / Tables:

Figure 1 Figure 1: Graphical comparison of summary statistics (Table 1) of different maps of K5 x A4 population. (a) Total length and total number markers in each map. (b) The average interlocus distance (total length/total number of markers).

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.