Literature DB >> 31639822

Combining phenotype, genotype, and environment to uncover genetic components underlying water use efficiency in Persian walnut.

Mohammad M Arab1, Annarita Marrano2, Rostam Abdollahi-Arpanahi3, Charles A Leslie2, Hao Cheng4, David B Neale2, Kourosh Vahdati1.   

Abstract

Walnut production is challenged by climate change and abiotic stresses. Elucidating the genomic basis of adaptation to climate is essential to breeding drought-tolerant cultivars for enhanced productivity in arid and semi-arid regions. Here, we aimed to identify loci potentially involved in water use efficiency (WUE) and adaptation to drought in Persian walnut using a diverse panel of 95 walnut families (950 seedlings) from Iran, which show contrasting levels of water availability in their native habitats. We analyzed associations between phenotypic, genotypic, and environmental variables from data sets of 609 000 high-quality single nucleotide polymorphisms (SNPs), three categories of phenotypic traits [WUE-related traits under drought, their drought stress index, and principal components (PCs)], and 21 climate variables and their combination (first three PCs). Our genotype-phenotype analysis identified 22 significant and 266 suggestive associations, some of which were for multiple traits, suggesting their correlation and a possible common genetic control. Also, genotype-environment association analysis found 115 significant and 265 suggestive SNP loci that displayed potential signals of local adaptation. Several sets of stress-responsive genes were found in the genomic regions significantly associated with the aforementioned traits. Most of the candidate genes identified are involved in abscisic acid signaling, stomatal regulation, transduction of environmental signals, antioxidant defense system, osmotic adjustment, and leaf growth and development. Upon validation, the marker-trait associations identified for drought tolerance-related traits would allow the selection and development of new walnut rootstocks or scion cultivars with superior WUE.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Experimental Biology.

Keywords:  Abiotic stress; SNP markers; climate change; drought tolerance; genome-wide association study (GWAS); genotype–environment analysis; genotyping array

Mesh:

Substances:

Year:  2020        PMID: 31639822     DOI: 10.1093/jxb/erz467

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  7 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-10       Impact factor: 12.779

2.  Genome-wide analysis of valine-glutamine motif-containing proteins related to abiotic stress response in cucumber (Cucumis sativus L.).

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3.  Genome-wide association analysis of 101 accessions dissects the genetic basis of shell thickness for genetic improvement in Persian walnut (Juglans regia L.).

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Journal:  BMC Plant Biol       Date:  2022-09-13       Impact factor: 5.260

4.  Genome-wide association analysis and pathway enrichment provide insights into the genetic basis of photosynthetic responses to drought stress in Persian walnut.

Authors:  Mohammad M Arab; Patrick J Brown; Rostam Abdollahi-Arpanahi; Seyed Sajad Sohrabi; Hossein Askari; Sasan Aliniaeifard; Ali Mokhtassi-Bidgoli; Mohsen B Mesgaran; Charles A Leslie; Annarita Marrano; David B Neale; Kourosh Vahdati
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5.  Major QTL with pleiotropic effects controlling time of leaf budburst and flowering-related traits in walnut (Juglans regia L.).

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Journal:  Sci Rep       Date:  2020-09-16       Impact factor: 4.379

6.  Comprehensive genomic characterization of NAC transcription factor family and their response to salt and drought stress in peanut.

Authors:  Cuiling Yuan; Chunjuan Li; Xiaodong Lu; Xiaobo Zhao; Caixia Yan; Juan Wang; Quanxi Sun; Shihua Shan
Journal:  BMC Plant Biol       Date:  2020-10-02       Impact factor: 4.215

7.  Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice.

Authors:  Baiyang Yu; Jianbin Liu; Di Wu; Ying Liu; Weijian Cen; Shaokui Wang; Rongbai Li; Jijing Luo
Journal:  BMC Plant Biol       Date:  2020-10-20       Impact factor: 4.215

  7 in total

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