Understanding the Genetic and Metabolic Underpinnings of Complex Traits in C4 Grasses

Maize (Zea mays L.) and sorghum (Sorghum bicolor (L.) Moench) are two important cereal crops cultivated worldwide for food, animal feed, and industrial products. Productivity of these crops is significantly impacted by various biotic and abiotic stresses, such as diseases, insect pests, drought, salinity, and heat. Among factors influencing crop performance under stress, the regulation of leaf longevity plays a critical role in determining yield. Leaf senescence is a highly regulated process essential for nutrient remobilization through the degradation of cellular components in aging leaves, but premature or accelerated senescence reduces photosynthetic efficiency and yield. Staygreen, a phenotype resulting from delayed senescence, is a critical adaptative trait influencing maize yield by regulating nutrient remobilization, photosynthetic efficiency, and stress adaptability. Despite its importance, the genetic and metabolic regulation of staygreen remains poorly resolved in important cereals, including maize and sorghum. Here, we leverage a multi-omics approach to identify genetic and metabolic factors underlying leaf senescence in these two C4 grasses. We integrated metabolomic and physiological data to dissect the regulatory networks controlling staygreen in maize to identify metabolites, pathways, and genes and used reverse genetics to validate gene function. We extended this analysis to leverage the genetic diversity of sorghum to identify metabolic pathways and genes that are species-specific or conserved across C4 grasses. Soil salinity is another major abiotic stress threatening global food security by disrupting essential physiological processes and causing significant yield losses. To address this challenge, we employed a combinatorial metabolomic and physiological approach to identify metabolites and genes associated with salinity tolerance in maize. Our integrative framework provides novel insights into the metabolic and genetic basis of these critical traits and identifies candidate genes for breeding and biotechnological interventions. Taken together, these findings contribute to a deeper understanding of stress-related traits and offer a foundation for developing climate-resilient maize and sorghum varieties to support global food security.

Publication Details

Journal
TigerPrints (Clemson University)
Published
2025-05-01
Primary Topic
Mass Spectrometry Techniques and Applications
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article
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article

Understanding the Genetic and Metabolic Underpinnings of Complex Traits in C4 Grasses

TigerPrints (Clemson University)
Mass Spectrometry Techniques and Applications
article

Understanding the Genetic and Metabolic Underpinnings of Complex Traits in C4 Grasses

article en

Abstract

Maize (Zea mays L.) and sorghum (Sorghum bicolor (L.) Moench) are two important cereal crops cultivated worldwide for food, animal feed, and industrial products. Productivity of these crops is significantly impacted by various biotic and abiotic stresses, such as diseases, insect pests, drought, salinity, and heat. Among factors influencing crop performance under stress, the regulation of leaf longevity plays a critical role in determining yield. Leaf senescence is a highly regulated process essential for nutrient remobilization through the degradation of cellular components in aging leaves, but premature or accelerated senescence reduces photosynthetic efficiency and yield. Staygreen, a phenotype resulting from delayed senescence, is a critical adaptative trait influencing maize yield by regulating nutrient remobilization, photosynthetic efficiency, and stress adaptability. Despite its importance, the genetic and metabolic regulation of staygreen remains poorly resolved in important cereals, including maize and sorghum. Here, we leverage a multi-omics approach to identify genetic and metabolic factors underlying leaf senescence in these two C4 grasses. We integrated metabolomic and physiological data to dissect the regulatory networks controlling staygreen in maize to identify metabolites, pathways, and genes and used reverse genetics to validate gene function. We extended this analysis to leverage the genetic diversity of sorghum to identify metabolic pathways and genes that are species-specific or conserved across C4 grasses. Soil salinity is another major abiotic stress threatening global food security by disrupting essential physiological processes and causing significant yield losses. To address this challenge, we employed a combinatorial metabolomic and physiological approach to identify metabolites and genes associated with salinity tolerance in maize. Our integrative framework provides novel insights into the metabolic and genetic basis of these critical traits and identifies candidate genes for breeding and biotechnological interventions. Taken together, these findings contribute to a deeper understanding of stress-related traits and offer a foundation for developing climate-resilient maize and sorghum varieties to support global food security.

TigerPrints (Clemson University)
Openalex Percentile: Top 53%
Mass Spectrometry Techniques and Applications
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Understanding the Genetic and Metabolic Underpinnings of Complex Traits in C4 Grasses · TigerPrints (Clemson University) (2025) | TGRS Research Map | TGRS