QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient
Abstract
Local adaptation is the process by which natural selection drives adaptive phenotypic divergence across environmental gradients. Theory suggests that local adaptation results from genetic trade-offs at individual genetic loci, where adaptation to one set of environmental conditions results in a cost to fitness in alternative environments. However, the degree to which there are costs associated with local adaptation is poorly understood because most of these experiments rely on two-site reciprocal transplant experiments. Here, we quantify the benefits and costs of locally adaptive loci across 17° of latitude in a four-grandparent outbred mapping population in outcrossing switchgrass (Panicum virgatumL.), an emerging biofuel crop and dominant tallgrass species. We conducted quantitative trait locus (QTL) mapping across 10 sites, ranging from Texas to South Dakota. This analysis revealed that beneficial biomass (fitness) QTL generally incur minimal costs when transplanted to other field sites distributed over a large climatic gradient over the 2 y of our study. Therefore, locally advantageous alleles could potentially be combined across multiple loci through breeding to create high-yielding regionally adapted cultivars.
- Authors:
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- Publication Date:
- Research Org.:
- Michigan State Univ., East Lansing, MI (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Texas, Austin, TX (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation Plant Genome Research Program Award
- Contributing Org.:
- Only Michigan State University received funding directly by this grant for this publication.
- OSTI Identifier:
- 1525532
- Alternate Identifier(s):
- OSTI ID: 1572023; OSTI ID: 1593753
- Grant/Contract Number:
- AC02-05CH11231; SC0014156; SC0017883; SC0018409; FC02-07ER64494
- Resource Type:
- Published Article
- Journal Name:
- Proceedings of the National Academy of Sciences of the United States of America
- Additional Journal Information:
- Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 116 Journal Issue: 26; Journal ID: ISSN 0027-8424
- Publisher:
- National Academy of Sciences
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; bioenergy; ecotype; local adaptation; plasticity; G x E
Citation Formats
Lowry, David B., Lovell, John T., Zhang, Li, Bonnette, Jason, Fay, Philip A., Mitchell, Robert B., Lloyd-Reilley, John, Boe, Arvid R., Wu, Yanqi, Rouquette, Jr, Francis M., Wynia, Richard L., Weng, Xiaoyu, Behrman, Kathrine D., Healey, Adam, Barry, Kerrie, Lipzen, Anna, Bauer, Diane, Sharma, Aditi, Jenkins, Jerry, Schmutz, Jeremy, Fritschi, Felix B., and Juenger, Thomas E. QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient. United States: N. p., 2019.
Web. doi:10.1073/pnas.1821543116.
Lowry, David B., Lovell, John T., Zhang, Li, Bonnette, Jason, Fay, Philip A., Mitchell, Robert B., Lloyd-Reilley, John, Boe, Arvid R., Wu, Yanqi, Rouquette, Jr, Francis M., Wynia, Richard L., Weng, Xiaoyu, Behrman, Kathrine D., Healey, Adam, Barry, Kerrie, Lipzen, Anna, Bauer, Diane, Sharma, Aditi, Jenkins, Jerry, Schmutz, Jeremy, Fritschi, Felix B., & Juenger, Thomas E. QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient. United States. https://doi.org/10.1073/pnas.1821543116
Lowry, David B., Lovell, John T., Zhang, Li, Bonnette, Jason, Fay, Philip A., Mitchell, Robert B., Lloyd-Reilley, John, Boe, Arvid R., Wu, Yanqi, Rouquette, Jr, Francis M., Wynia, Richard L., Weng, Xiaoyu, Behrman, Kathrine D., Healey, Adam, Barry, Kerrie, Lipzen, Anna, Bauer, Diane, Sharma, Aditi, Jenkins, Jerry, Schmutz, Jeremy, Fritschi, Felix B., and Juenger, Thomas E. Mon .
"QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient". United States. https://doi.org/10.1073/pnas.1821543116.
@article{osti_1525532,
title = {QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient},
author = {Lowry, David B. and Lovell, John T. and Zhang, Li and Bonnette, Jason and Fay, Philip A. and Mitchell, Robert B. and Lloyd-Reilley, John and Boe, Arvid R. and Wu, Yanqi and Rouquette, Jr, Francis M. and Wynia, Richard L. and Weng, Xiaoyu and Behrman, Kathrine D. and Healey, Adam and Barry, Kerrie and Lipzen, Anna and Bauer, Diane and Sharma, Aditi and Jenkins, Jerry and Schmutz, Jeremy and Fritschi, Felix B. and Juenger, Thomas E.},
abstractNote = {Local adaptation is the process by which natural selection drives adaptive phenotypic divergence across environmental gradients. Theory suggests that local adaptation results from genetic trade-offs at individual genetic loci, where adaptation to one set of environmental conditions results in a cost to fitness in alternative environments. However, the degree to which there are costs associated with local adaptation is poorly understood because most of these experiments rely on two-site reciprocal transplant experiments. Here, we quantify the benefits and costs of locally adaptive loci across 17° of latitude in a four-grandparent outbred mapping population in outcrossing switchgrass (Panicum virgatumL.), an emerging biofuel crop and dominant tallgrass species. We conducted quantitative trait locus (QTL) mapping across 10 sites, ranging from Texas to South Dakota. This analysis revealed that beneficial biomass (fitness) QTL generally incur minimal costs when transplanted to other field sites distributed over a large climatic gradient over the 2 y of our study. Therefore, locally advantageous alleles could potentially be combined across multiple loci through breeding to create high-yielding regionally adapted cultivars.},
doi = {10.1073/pnas.1821543116},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 26,
volume = 116,
place = {United States},
year = {2019},
month = {6}
}
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https://doi.org/10.1073/pnas.1821543116
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