Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics
Abstract
Sorghum bicolor, a photosynthetically efficient C4 grass, represents an important source of grain, forage, fermentable sugars, and cellulosic fibers that can be utilized in myriad applications ranging from bioenergy to bioindustrial feedstocks. Sorghum’s efficient fixation of carbon per unit time per unit area per unit input has led to its classification as a preferred biomass crop highlighted by its designation as an advanced biofuel by the U.S. Department of Energy. Due to its extensive genetic diversity and worldwide colonization, sorghum has considerable diversity for a range of phenotypes influencing productivity, composition, and sink/source dynamics. To dissect the genetic basis of these key traits, we present a sorghum carbon-partitioning nested association mapping (NAM) population generated by crossing 11 diverse founder lines with Grassl as the single recurrent female. By exploiting existing variation among cellulosic, forage, sweet, and grain sorghum carbon partitioning regimes, the sorghum carbon-partitioning NAM population will allow the identification of important biomass-associated traits, elucidate the genetic architecture underlying carbon partitioning and improve our understanding of the genetic determinants affecting unique phenotypes within Poaceae. We contrast this NAM population with an existing grain population generated using Tx430 as the recurrent female. Genotypic data are assessed for quality by examining variantmore »
- Authors:
-
[2];
[1];
[1];
- Clemson Univ., SC (United States)
- Clemson Univ., SC (United States); Carolina Seed Systems, Darlington, SC (United States)
- Donald Danforth Plant Science Center, St. Louis, MO (United States)
- Univ. of North Carolina, Charlotte, NC (United States)
- Kansas State Univ., Manhattan, KS (United States)
- Advanced Plant Technology, Clemson University, Clemson, SC 29634, USA;Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA
- Publication Date:
- Research Org.:
- Clemson Univ., SC (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1848214
- Grant/Contract Number:
- AR0000595
- Resource Type:
- Accepted Manuscript
- Journal Name:
- G3
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 4; Journal ID: ISSN 2160-1836
- Publisher:
- Genetics Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; 59 BASIC BIOLOGICAL SCIENCES; Genetics & Heredity; nested association mapping; pericarp color; genome-wide association study; genotype-by-sequencing; carbon-partitioning; multiparental populations; MPP
Citation Formats
Boatwright, J. Lucas, Brenton, Zachary W., Boyles, Richard E., Sapkota, Sirjan, Myers, Matthew T., Jordan, Kathleen E., Dale, Savanah M., Shakoor, Nadia, Cooper, Elizabeth A., Morris, Geoffrey P., and Kresovich, Stephen. Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics. United States: N. p., 2021.
Web. doi:10.1093/g3journal/jkab060.
Boatwright, J. Lucas, Brenton, Zachary W., Boyles, Richard E., Sapkota, Sirjan, Myers, Matthew T., Jordan, Kathleen E., Dale, Savanah M., Shakoor, Nadia, Cooper, Elizabeth A., Morris, Geoffrey P., & Kresovich, Stephen. Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics. United States. https://doi.org/10.1093/g3journal/jkab060
Boatwright, J. Lucas, Brenton, Zachary W., Boyles, Richard E., Sapkota, Sirjan, Myers, Matthew T., Jordan, Kathleen E., Dale, Savanah M., Shakoor, Nadia, Cooper, Elizabeth A., Morris, Geoffrey P., and Kresovich, Stephen. Wed .
"Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics". United States. https://doi.org/10.1093/g3journal/jkab060. https://www.osti.gov/servlets/purl/1848214.
@article{osti_1848214,
title = {Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics},
author = {Boatwright, J. Lucas and Brenton, Zachary W. and Boyles, Richard E. and Sapkota, Sirjan and Myers, Matthew T. and Jordan, Kathleen E. and Dale, Savanah M. and Shakoor, Nadia and Cooper, Elizabeth A. and Morris, Geoffrey P. and Kresovich, Stephen},
abstractNote = {Sorghum bicolor, a photosynthetically efficient C4 grass, represents an important source of grain, forage, fermentable sugars, and cellulosic fibers that can be utilized in myriad applications ranging from bioenergy to bioindustrial feedstocks. Sorghum’s efficient fixation of carbon per unit time per unit area per unit input has led to its classification as a preferred biomass crop highlighted by its designation as an advanced biofuel by the U.S. Department of Energy. Due to its extensive genetic diversity and worldwide colonization, sorghum has considerable diversity for a range of phenotypes influencing productivity, composition, and sink/source dynamics. To dissect the genetic basis of these key traits, we present a sorghum carbon-partitioning nested association mapping (NAM) population generated by crossing 11 diverse founder lines with Grassl as the single recurrent female. By exploiting existing variation among cellulosic, forage, sweet, and grain sorghum carbon partitioning regimes, the sorghum carbon-partitioning NAM population will allow the identification of important biomass-associated traits, elucidate the genetic architecture underlying carbon partitioning and improve our understanding of the genetic determinants affecting unique phenotypes within Poaceae. We contrast this NAM population with an existing grain population generated using Tx430 as the recurrent female. Genotypic data are assessed for quality by examining variant density, nucleotide diversity, linkage decay, and are validated using pericarp and testa phenotypes to map known genes affecting these phenotypes. We release the 11-family NAM population along with corresponding genomic data for use in genetic, genomic, and agronomic studies with a focus on carbon-partitioning regimes.},
doi = {10.1093/g3journal/jkab060},
journal = {G3},
number = 4,
volume = 11,
place = {United States},
year = {Wed Mar 03 00:00:00 EST 2021},
month = {Wed Mar 03 00:00:00 EST 2021}
}
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