Diversity and population structure of northern switchgrass as revealed through exome capture sequencing
- Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Plant Biology; Michigan State University
- Michigan State Univ., East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Plant Biology
- USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
- HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States)
- Univ. of Oklahoma, Norman, OK (United States). Dept. of Microbiology and Plant Biology
- USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); HudsonAlpha Inst. for Biotechnology, Huntsville, AL (United States)
- Univ. of Wisconsin, Madison, WI (United States). DOE Great Lakes Bioenergy Research Center. Dept. of Agronomy
- Univ. of Wisconsin, Madison, WI (United States). DOE Great Lakes Bioenergy Research Center; USDA-ARS Dairy Forage Research Center, Madison, WI (United States)
Panicum virgatum L. (switchgrass) is a polyploid, perennial grass species that is native to North America, and is being developed as a future biofuel feedstock crop. Switchgrass is present primarily in two ecotypes: a northern upland ecotype, composed of tetraploid and octoploid accessions, and a southern lowland ecotype, composed of primarily tetraploid accessions. We employed high-coverage exome capture sequencing (~2.4 Tb) to genotype 537 individuals from 45 upland and 21 lowland populations. From these data, we identified ~27 million single-nucleotide polymorphisms (SNPs), of which 1 590 653 high-confidence SNPs were used in downstream analyses of diversity within and between the populations. From the 66 populations, we identified five primary population groups within the upland and lowland ecotypes, a result that was further supported through genetic distance analysis. We identified conserved, ecotype-restricted, non-synonymous SNPs that are predicted to affect the protein function of CONSTANS (CO) and EARLY HEADING DATE 1 (EHD1), key genes involved in flowering, which may contribute to the phenotypic differences between the two ecotypes. We also identified, relative to the near-reference Kanlow population, 17 228 genes present in more copies than in the reference genome (up-CNVs), 112 630 genes present in fewer copies than in the reference genome (down-CNVs) and 14 430 presence/absence variants (PAVs), affecting a total of 9979 genes, including two upland-specific CNV clusters. In total, 45 719 genes were affected by an SNP, CNV, or PAV across the panel, providing a firm foundation to identify functional variation associated with phenotypic traits of interest for biofuel feedstock production.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Michigan State Univ., East Lansing, MI (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
- Grant/Contract Number:
- AC02-05CH11231; FC02-07ER64494
- OSTI ID:
- 1438259
- Alternate ID(s):
- OSTI ID: 1616044
- Journal Information:
- The Plant Journal, Journal Name: The Plant Journal Journal Issue: 4 Vol. 84; ISSN 0960-7412
- Publisher:
- Society for Experimental BiologyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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