Cross-species predictive modeling reveals conserved drought responses between maize and sorghum.

Autor:	Pardo J; Department of Horticulture, Michigan State University, East Lansing, MI 48824.; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824.; Department of Plant Biology, Michigan State University, East Lansing, MI 48824., Wai CM; Department of Horticulture, Michigan State University, East Lansing, MI 48824.; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824., Harman M; Department of Horticulture, Michigan State University, East Lansing, MI 48824., Nguyen A; Department of Horticulture, Michigan State University, East Lansing, MI 48824.; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824., Kremling KA; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853.; School of Integrative Plant Science, Cornell University, Ithaca, NY 14853., Romay MC; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853.; School of Integrative Plant Science, Cornell University, Ithaca, NY 14853., Lepak N; Agricultural Research Service, US Department of Agriculture, Ithaca, NY 14853., Bauerle TL; School of Integrative Plant Science, Cornell University, Ithaca, NY 14853., Buckler ES; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853.; School of Integrative Plant Science, Cornell University, Ithaca, NY 14853.; Agricultural Research Service, US Department of Agriculture, Ithaca, NY 14853., Thompson AM; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824.; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824., VanBuren R; Department of Horticulture, Michigan State University, East Lansing, MI 48824.; Plant Resilience Institute, Michigan State University, East Lansing, MI 48824.
Jazyk:	angličtina
Zdroj:	Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2023 Mar 07; Vol. 120 (10), pp. e2216894120. Date of Electronic Publication: 2023 Feb 27.
DOI:	10.1073/pnas.2216894120
Abstrakt:	Drought tolerance is a highly complex trait controlled by numerous interconnected pathways with substantial variation within and across plant species. This complexity makes it difficult to distill individual genetic loci underlying tolerance, and to identify core or conserved drought-responsive pathways. Here, we collected drought physiology and gene expression datasets across diverse genotypes of the C4 cereals sorghum and maize and searched for signatures defining water-deficit responses. Differential gene expression identified few overlapping drought-associated genes across sorghum genotypes, but using a predictive modeling approach, we found a shared core drought response across development, genotype, and stress severity. Our model had similar robustness when applied to datasets in maize, reflecting a conserved drought response between sorghum and maize. The top predictors are enriched in functions associated with various abiotic stress-responsive pathways as well as core cellular functions. These conserved drought response genes were less likely to contain deleterious mutations than other gene sets, suggesting that core drought-responsive genes are under evolutionary and functional constraints. Our findings support a broad evolutionary conservation of drought responses in C4 grasses regardless of innate stress tolerance, which could have important implications for developing climate resilient cereals.
Databáze:	MEDLINE
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