Literature DB >> 33987676

Genetic architecture of the metabolic pathway of salicylic acid biosynthesis in Populus.

Liang Xiao1,2, Qingzhang Du1,2,3, Yuanyuan Fang1,2, Mingyang Quan1,2,3, Wenjie Lu1,2, Dan Wang1,2, Jingna Si1,2, Yousry A El-Kassaby4, Deqiang Zhang1,2.   

Abstract

Salicylic acid (SA) is a vital hormone for adaptive responses to biotic and abiotic stresses, which facilitates growth-immunity trade-offs in plants. However, the genetic regulatory networks underlying the metabolic pathway of SA biosynthesis in perennial species remain unclear. Here, we integrated genome-wide association study (GWAS) with metabolite and expression profiling methodologies to dissect the genetic architecture of SA biosynthesis in Populus. First, we quantified nine intermediate metabolites of SA biosynthesis in 300 unrelated Populus tomentosa Carr. individuals. Then, we used a systematic genetic strategy to identify candidate genes for constructing the genetic regulatory network of SA biosynthesis. We focused on WRKY70, an efficient transcription factor, as the key causal gene in the regulatory network, and combined the novel genes coordinating the accumulation of SA. Finally, we identified eight GWAS signals and eight expression quantitative trait loci situated in a selective sweep, and showed the presence of large allele frequency differences among the three geographic populations, revealing that candidate genes subject to selection were involved in SA biosynthesis. This study provides an integrated strategy for dissecting the genetic architecture of the metabolic pathway of SA biosynthesis in Populus, thereby enhancing our understanding of genetic regulation of SA biosynthesis in trees, and accelerating marker-assisted breeding efforts toward high-resistance elite varieties of Populus.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

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Keywords:  GWAS; co-expression; eQTL; metabolite; salicylic acid biosynthesis; selective sweep

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Year:  2021        PMID: 33987676     DOI: 10.1093/treephys/tpab068

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  1 in total

1.  Genome-Wide Association Study With Growth-Related Traits and Secondary Metabolite Contents in Red- and White-Heart Chinese Fir.

Authors:  Sen Cao; Hongjing Duan; Yuhan Sun; Ruiyang Hu; Bo Wu; Jun Lin; Wenjian Deng; Yun Li; Huiquan Zheng
Journal:  Front Plant Sci       Date:  2022-06-30       Impact factor: 6.627

  1 in total

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