Genome-wide associations with flowering time in switchgrass using exome-capture sequencing data

Grabowski, Paul P.; Evans, Joseph; Daum, Chris; Deshpande, Shweta; Barry, Kerrie W.; Kennedy, Megan; Ramstein, Guillaume; Kaeppler, Shawn M.; Buell, C. Robin; Jiang, Yiwei; Casler, Michael D.

doi:10.1111/nph.14101

Title: Genome-wide associations with flowering time in switchgrass using exome-capture sequencing data

Journal Article · Fri Jul 22 00:00:00 EDT 2016 · New Phytologist

DOI:https://doi.org/10.1111/nph.14101· OSTI ID:1536763

^[1]; Evans, Joseph ^[2]; Daum, Chris ^[3]; Deshpande, Shweta ^[3]; Barry, Kerrie W. ^[3]; Kennedy, Megan ^[3]; Ramstein, Guillaume ^[4]; Kaeppler, Shawn M. ^[4]; Buell, C. Robin ^[5]; Jiang, Yiwei ^[6]; Casler, Michael D. ^[1]

US Department of Agriculture (USDA), Madison, WI (United States). Agricultural Research Service
DuPont Pioneer, Johnston, IA (United States); Michigan State University, East Lansing, MI (United States); Michigan State University, East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center
USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
University of Wisconsin, Madison, WI (United States)
Michigan State University, East Lansing, MI (United States); Michigan State University, East Lansing, MI (United States). DOE Great Lakes Bioenergy Research Center
Purdue University, West Lafayette, IN (United States)

Summary Flowering time is a major determinant of biomass yield in switchgrass ( Panicum virgatum ), a perennial bioenergy crop, because later flowering allows for an extended period of vegetative growth and increased biomass production. A better understanding of the genetic regulation of flowering time in switchgrass will aid the development of switchgrass varieties with increased biomass yields, particularly at northern latitudes, where late‐flowering but southern‐adapted varieties have high winter mortality. We use genotypes derived from recently published exome‐capture sequencing, which mitigates challenges related to the large, highly repetitive and polyploid switchgrass genome, to perform genome‐wide association studies ( GWAS ) using flowering time data from a switchgrass association panel in an effort to characterize the genetic architecture and genes underlying flowering time regulation in switchgrass. We identify associations with flowering time at multiple loci, including in a homolog of FLOWERING LOCUS T and in a locus containing TIMELESS , a homolog of a key circadian regulator in animals. Our results suggest that flowering time variation in switchgrass is due to variation at many positions across the genome. The relationship of flowering time and geographic origin indicates likely roles for genes in the photoperiod and autonomous pathways in generating switchgrass flowering time variation.

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Research Organization:: Univ. of Wisconsin, Madison, WI (United States); Purdue Univ., West Lafayette, IN (United States); US Dept. of Agriculture (USDA), Washington, DC (United States). Agricultural Research Service (ARS)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: FC02-07ER64494; SC0010631; AC02-05CH11231; SC0008180; DE‐FC02‐07ER64494; DE‐AC02‐05CH11231; DE‐SC0010631; DE‐SC0008180

OSTI ID:: 1536763

Alternate ID(s):: OSTI ID: 1401223

Journal Information:: New Phytologist, Vol. 213, Issue 1; ISSN 0028-646X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 39 works

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59 BASIC BIOLOGICAL SCIENCES
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exome-capture
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GWAS
Panicum virgatum
switchgrass

Title: Genome-wide associations with flowering time in switchgrass using exome-capture sequencing data

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