AI Article Synopsis

  • Drought poses significant challenges for plant survival and growth, and with climate change increasing its frequency, understanding the genetics behind drought tolerance is crucial for predicting plant responses.
  • The research involved genome-wide association studies on coast redwood and giant sequoia, analyzing various physiological traits and identifying key genetic markers associated with drought tolerance.
  • A total of 78 new marker-trait associations in coast redwood and six in giant sequoia were discovered, shedding light on the genetic mechanisms of drought adaptation and aiding conservation strategies for these important tree species.

Article Abstract

Drought is a major limitation for survival and growth in plants. With more frequent and severe drought episodes occurring due to climate change, it is imperative to understand the genomic and physiological basis of drought tolerance to be able to predict how species will respond in the future. In this study, univariate and multitrait multivariate genome-wide association study methods were used to identify candidate genes in two iconic and ecosystem-dominating species of the western USA, coast redwood and giant sequoia, using 10 drought-related physiological and anatomical traits and genome-wide sequence-capture single nucleotide polymorphisms. Population-level phenotypic variation was found in carbon isotope discrimination, osmotic pressure at full turgor, xylem hydraulic diameter, and total area of transporting fibers in both species. Our study identified new 78 new marker × trait associations in coast redwood and six in giant sequoia, with genes involved in a range of metabolic, stress, and signaling pathways, among other functions. This study contributes to a better understanding of the genomic basis of drought tolerance in long-generation conifers and helps guide current and future conservation efforts in the species.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10773529PMC
http://dx.doi.org/10.1111/tpj.15592DOI Listing

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