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Sekhon, R.

Publications and source records attributed to Sekhon, R..

2 recordsLinked to original sources

Untargeted metabolomics reveals key metabolites and genes underlying salinity tolerance mechanisms in maize

Understanding the physiological, metabolic, and genetic mechanisms underlying salt tolerance is essential for improving crop resilience and productivity, yet their complex interactions remain poorly defined. We compared physiological and metabolic responses to salinity between two contrasting maize inbred lines: the salt-sensitive C68 and the salt-tolerant NC326. The senstitivity of C68 was characterized by reduced shoot and root dry weights and plant height, high tissue accumulation of Na and Cl, but low K, and lower leaf proline accumulation compared to the salt-tolerant NC326. Untargeted metabolomics identified 56 metabolites categorized as constitutively upregulated or salt-responsive. In NC326, constitutive accumulation of flavonoids, including schaftoside, tricin, and kaempferol-related compounds in leaves suggests adaptive priming against oxidative stress, while constitutively higher lipids and fatty acids in roots may enhance membrane stability. Salt-responsive metabolites, notably antioxidants and lanosterol, highlighted inducible oxidative-stress mitigation and membrane-stabilization strategies. By integrating metabolomic and genetic analyses, we identified 10 candidate genes involved in the biosynthesis of key metabolites. These findings establish a comprehensive platform for functional validation of metabolites and candidate genes for developing maize varieties with improved resilience to soil salinity through targeted breeding or biotechnological strategies. Plane Language SummarySalinity, or high salt content in soil, is a major challenge to crop growth worldwide, reducing food production. Maize, an important crop globally, struggles to grow under salty conditions. This study compared two maize types--one that grows well in salty soil and one that struggles--to understand how maize plants adapt to salt stress. Using advanced techniques, we measured hundreds of compounds (metabolites) in plant tissues to identify protective substances. We discovered that plants resistant to salt stress naturally produce higher amounts of protective substances, helping them avoid damage from salt. Additionally, we found specific metabolites that plants produce when exposed to salty conditions to protect their cells. We also identified genes that control the production of these important metabolites. This research provides new insights into how maize plants manage salt stress and highlights potential targets for developing crops that grow better in saline soils. Core IdeasO_LIMaize genotypes differ in growth, ion balance, and proline under salt stress. C_LIO_LIMetabolomics reveals pre-stress buildup of protective flavonoids and fatty acids. C_LIO_LISalt triggers metabolic changes like sterol increase to protect membranes. C_LIO_LIGenetic analysis links genes to key metabolites controlling salt tolerance. C_LIO_LIMetabolite-gene insights guide breeding of maize for salt resilience C_LI

plant biology↗

High Density Phenotypic Map of Natural Variation for Intermediate Phenotypes Associated with Stalk Lodging Resistance in Maize

The world has food security needs that are currently not being met. Stalk lodging undermines crop productivity and incurs global yield losses of at least $6 billion in maize (Zea mays L.). Genetic architecture of stalk lodging resistance, a measure of the ability of the stalk to withstand lodging, remains poorly resolved, creating a bottleneck for genetic improvement. Identification of diverse plant traits at multiple length scales of biological organizations that contribute to stalk lodging resistance and characterization of natural variation for these traits is critical for improving stalk lodging resistance. We identified and evaluated 11 intermediate phenotypes, traits associated with stalk lodging resistance, in a maize diversity panel of 566 inbred lines evaluated over four environments. The identity of each of the 31,260 stalks evaluated in the study was preserved throughout the phenotyping pipeline which enabled capturing variation at the individual plant level. This high-density phenotypic dataset provided a foundation for statistical genomics, predictive modeling, and machine learning analyses to identify genes and genetic elements underlying stalk lodging resistance. Additionally, phenotypic characterization of multiple intermediate phenotypes on a diverse set of inbred lines provided excellent opportunities to understand the relative contribution of these traits to stalk lodging resistance. Besides improvement of maize for grain and animal feedstock, the inferences from this data will be valuable for improvement of stalk lodging resistance in other grass species.

plant biology↗