Quantitative genetics of photosynthetic trait variation in maize

Natural genetic variation in photosynthesis-related traits can help both to identify genes involved in regulating photosynthetic processes and to develop crops with improved productivity and photosynthetic efficiency. However, rapidly fluctuating environmental parameters create challenges for measuring photosynthetic parameters in large populations under field conditions. We measured chlorophyll fluorescence and absorbance-based photosynthetic traits in a maize diversity panel in the field using an experimental design that allowed us to estimate and control multiple confounding factors. Controlling the impact of day of measurement and light intensity as well as patterns of two-dimensional spatial variation in the field increased heritability for 11 out of 14 traits measured. We were able to identify high-confidence genome-wide association study (GWAS) signals associated with variation in four spatially corrected traits (the quantum yield of PSII, non-photochemical quenching, redox state of QA, and relative chlorophyll content). Insertion alleles for Arabidopsis orthologs of three candidate genes exhibited phenotypes consistent with our GWAS results. Collectively these results illustrate the potential of applying best practices from quantitative genetics research to address outstanding questions in plant physiology and to understand natural variation in photosynthesis.

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Publication Details

Journal
Journal of Experimental Botany
Published
2025-05-14
DOI
https://doi.org/10.1093/jxb/eraf198
Citations
4
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
7.27

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article

Quantitative genetics of photosynthetic trait variation in maize

Rebecca Roston, Fangyi Li, Waqar Ali, Ravi V. Mural et al.
4 citations
Journal of Experimental Botany
Genetic Mapping and Diversity in Plants and Animals
7.27
article

Quantitative genetics of photosynthetic trait variation in maize

Rebecca Roston, Fangyi Li, Waqar Ali, Ravi V. Mural, Marcin Grzybowski, Seema Sahay, James C. Schnable, J. Vladimir Torres‐Rodríguez, Khang Hoang, Nikee Shrestha, R. Mathivanan, Gabriel de Bernardeaux
article en
4 citations

Abstract

Natural genetic variation in photosynthesis-related traits can help both to identify genes involved in regulating photosynthetic processes and to develop crops with improved productivity and photosynthetic efficiency. However, rapidly fluctuating environmental parameters create challenges for measuring photosynthetic parameters in large populations under field conditions. We measured chlorophyll fluorescence and absorbance-based photosynthetic traits in a maize diversity panel in the field using an experimental design that allowed us to estimate and control multiple confounding factors. Controlling the impact of day of measurement and light intensity as well as patterns of two-dimensional spatial variation in the field increased heritability for 11 out of 14 traits measured. We were able to identify high-confidence genome-wide association study (GWAS) signals associated with variation in four spatially corrected traits (the quantum yield of PSII, non-photochemical quenching, redox state of QA, and relative chlorophyll content). Insertion alleles for Arabidopsis orthologs of three candidate genes exhibited phenotypes consistent with our GWAS results. Collectively these results illustrate the potential of applying best practices from quantitative genetics research to address outstanding questions in plant physiology and to understand natural variation in photosynthesis.

Journal of Experimental BotanyVol. 76(14)
University of Nebraska–Lincoln (US), South Dakota State University (US), University of Warsaw (PL), Texas A&M University (US)
University of Nebraska-Lincoln, Higher Education Commision, Pakistan
Openalex Percentile: Top 3%
Genetic Mapping and Diversity in Plants and Animals
7.27
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