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Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought

View ORCID ProfileBrook T. Moyers, Amelia Henry, Chitra Raghavan, Hein Zaw, View ORCID ProfileAnnarita Marrano, Hei Leung, View ORCID ProfileJohn McKay
doi: https://doi.org/10.1101/2022.02.07.479433
Brook T. Moyers
*Biology, University of Massachusetts Boston, Boston, MA, USA
†Agricultural Biology, Colorado State University, Fort Collins, CO, USA
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  • ORCID record for Brook T. Moyers
  • For correspondence: brook.moyers@umb.edu
Amelia Henry
‡International Rice Research Institute (IRRI), Los Baños, Philippines
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Chitra Raghavan
‡International Rice Research Institute (IRRI), Los Baños, Philippines
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Hein Zaw
‡International Rice Research Institute (IRRI), Los Baños, Philippines
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Annarita Marrano
*Biology, University of Massachusetts Boston, Boston, MA, USA
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Hei Leung
‡International Rice Research Institute (IRRI), Los Baños, Philippines
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John McKay
†Agricultural Biology, Colorado State University, Fort Collins, CO, USA
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Abstract

Crop adaptation is required to sustainably increase the rate of yield gains to meet projected future needs under the challenging conditions of climate change and competition for resources. Future adaptation will likely need to harness both highly polygenic traits and genotype-by-environment interactions (GxE), the study of which is aided by complex recombinant populations. We used the diverse Oryza sativa Global Multiparent Advanced Generation InterCross (MAGIC) population to study the genetic architecture and contributions of seedling emergence, establishment, and development to yield components under dry-direct seeding and seedling stage drought across three growing seasons. Dry-direct seeding is an establishment practice that has the potential to reduce methane emissions, water use, and labor demands for rice farmers, but increases the possibility of early-season drought conditions. We found substantial evidence for large roles of environmental variation and GxE in controlling trait variation. Maintenance of shoot growth during seedling stage drought was positively correlated with crown root number and both directly and indirectly influenced agronomic traits. Other than the major green revolution locus sd1, most allelic effects were conditionally neutral (affecting trait values in some environments but not others) and most alleles had their strongest effect in an environmental extreme. This discovery is both a challenge and a potential opportunity: with variable genetic architecture, selection in any one environment may not result in stable trait gains across environments. However, conditionally neutral GxE is a potential route to sustainable yield stability through allele pyramiding.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Data available at: the IRRI dataverse, details TBA

  • https://doi.org/10.7910/DVN/CANBL7

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted February 09, 2022.
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Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
Brook T. Moyers, Amelia Henry, Chitra Raghavan, Hein Zaw, Annarita Marrano, Hei Leung, John McKay
bioRxiv 2022.02.07.479433; doi: https://doi.org/10.1101/2022.02.07.479433
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Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought
Brook T. Moyers, Amelia Henry, Chitra Raghavan, Hein Zaw, Annarita Marrano, Hei Leung, John McKay
bioRxiv 2022.02.07.479433; doi: https://doi.org/10.1101/2022.02.07.479433

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