Transcriptome-Based Differentiation of Closely-Related Miscanthus Lines

Chouvarine, Philippe; Cooksey, Amanda M.; McCarthy, Fiona M.; Ray, David A.; Baldwin, Brian S.; Burgess, Shane C.; Peterson, Daniel G.

doi:10.1371/journal.pone.0029850

Title: Transcriptome-Based Differentiation of Closely-Related Miscanthus Lines

Journal Article · Tue Jan 10 00:00:00 EST 2012 · PLoS ONE

DOI:https://doi.org/10.1371/journal.pone.0029850· OSTI ID:1079518

Chouvarine, Philippe ^[1]; Cooksey, Amanda M. ^[1]; McCarthy, Fiona M. ^[2]; Ray, David A. ^[3]; Baldwin, Brian S. ^[4]; Burgess, Shane C. ^[2]; Peterson, Daniel G. ^[5]

Mississippi State Univ., Mississippi State, MS (United States). Inst. for Genomics
Mississippi State Univ., Mississippi State, MS (United States). Inst. for Genomics; Mississippi State Univ., Mississippi State, MS (United States). College of Veterinary Medicine
Mississippi State Univ., Mississippi State, MS (United States). Inst. for Genomics; Mississippi State Univ., Mississippi State, MS (United States). Dept. of Biochemistry, Molecular Biology, Entomology and Plant Pathology
Mississippi State Univ., Mississippi State, MS (United States). Dept. of Plant and Soil Sciences
Mississippi State Univ., Mississippi State, MS (United States). Inst. for Genomics; Mississippi State Univ., Mississippi State, MS (United States). Dept. of Plant and Soil Sciences

Distinguishing between individuals is critical to those conducting animal/plant breeding, food safety/quality research, diagnostic and clinical testing, and evolutionary biology studies. Classical genetic identification studies are based on marker polymorphisms, but polymorphism-based techniques are time and labor intensive and often cannot distinguish between closely related individuals. Illumina sequencing technologies provide the detailed sequence data required for rapid and efficient differentiation of related species, lines/cultivars, and individuals in a cost-effective manner. Here we describe the use of Illumina high-throughput exome sequencing, coupled with SNP mapping, as a rapid means of distinguishing between related cultivars of the lignocellulosic bioenergy crop giant miscanthus (Miscanthus6giganteus). We provide the first exome sequence database for Miscanthus species complete with Gene Ontology (GO) functional annotations."

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Research Organization:: Mississippi State Univ., Mississippi State, MS (United States)

Sponsoring Organization:: U.S. Department of Agriculture; National Science Foundation (NSF); USDOE

Grant/Contract Number:: FG36-06GO86025; 2009-34609-20222; ARS-58-6402-7-241; DBI-0421717; MCB-0841821

OSTI ID:: 1079518

Report Number(s):: GO8602538

Journal Information:: PLoS ONE, Vol. 7, Issue 1; ISSN 1932-6203

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 20 works

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