skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.)

Abstract

Advances in genomic technologies have expanded our ability to accurately and exhaustively detect natural genomic variants that can be applied in crop improvement and to increase our knowledge of plant evolution and adaptation. Switchgrass (Panicum virgatum L.), an allotetraploid (2n = 4× = 36) perennial C4 grass (Poaceae family) native to North America and a feedstock crop for cellulosic biofuel production, has a large potential for genetic improvement due to its high genotypic and phenotypic variation. In this study, we analyzed single nucleotide polymorphism (SNP) variation in 372 switchgrass genotypes belonging to 36 accessions for 12 genes putatively involved in biomass production to investigate signatures of selection that could have led to ecotype differentiation and to population adaptation to geographic zones.

Authors:
ORCiD logo; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1559793
Alternate Identifier(s):
OSTI ID: 1544018
Grant/Contract Number:  
PS02-06ER64304; AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
BMC Evolutionary Biology (Online)
Additional Journal Information:
Journal Name: BMC Evolutionary Biology (Online); Journal Volume: 18; Journal Issue: 1; Journal ID: ISSN 1471-2148
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
Evolutionary Biology; Genetics & Heredity; 59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Bahri, Bochra A., Daverdin, Guillaume, Xu, Xiangyang, Cheng, Jan-Fang, Barry, Kerrie W., Brummer, E. Charles, and Devos, Katrien M. Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.). United States: N. p., 2018. Web. doi:10.1186/s12862-018-1193-2.
Bahri, Bochra A., Daverdin, Guillaume, Xu, Xiangyang, Cheng, Jan-Fang, Barry, Kerrie W., Brummer, E. Charles, & Devos, Katrien M. Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.). United States. doi:10.1186/s12862-018-1193-2.
Bahri, Bochra A., Daverdin, Guillaume, Xu, Xiangyang, Cheng, Jan-Fang, Barry, Kerrie W., Brummer, E. Charles, and Devos, Katrien M. Thu . "Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.)". United States. doi:10.1186/s12862-018-1193-2. https://www.osti.gov/servlets/purl/1559793.
@article{osti_1559793,
title = {Natural variation in genes potentially involved in plant architecture and adaptation in switchgrass (Panicum virgatum L.)},
author = {Bahri, Bochra A. and Daverdin, Guillaume and Xu, Xiangyang and Cheng, Jan-Fang and Barry, Kerrie W. and Brummer, E. Charles and Devos, Katrien M.},
abstractNote = {Advances in genomic technologies have expanded our ability to accurately and exhaustively detect natural genomic variants that can be applied in crop improvement and to increase our knowledge of plant evolution and adaptation. Switchgrass (Panicum virgatum L.), an allotetraploid (2n = 4× = 36) perennial C4 grass (Poaceae family) native to North America and a feedstock crop for cellulosic biofuel production, has a large potential for genetic improvement due to its high genotypic and phenotypic variation. In this study, we analyzed single nucleotide polymorphism (SNP) variation in 372 switchgrass genotypes belonging to 36 accessions for 12 genes putatively involved in biomass production to investigate signatures of selection that could have led to ecotype differentiation and to population adaptation to geographic zones.},
doi = {10.1186/s12862-018-1193-2},
journal = {BMC Evolutionary Biology (Online)},
number = 1,
volume = 18,
place = {United States},
year = {2018},
month = {6}
}

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

Save / Share:

Works referenced in this record:

SWISS-MODEL and the Swiss-Pdb Viewer: An environment for comparative protein modeling
journal, January 1997