Literature DB >> 29749073

Understanding genetic control of root system architecture in soybean: Insights into the genetic basis of lateral root number.

Silvas J Prince1,2, Babu Valliyodan1, Heng Ye1, Ming Yang3, Shuaishuai Tai3, Wushu Hu3, Mackensie Murphy1, Lorellin A Durnell1, Li Song1,4, Trupti Joshi5,6, Yang Liu5, Jan Van de Velde7,8, Klaas Vandepoele7,8, J Grover Shannon1, Henry T Nguyen1.   

Abstract

Developing crops with better root systems is a promising strategy to ensure productivity in both optimum and stress environments. Root system architectural traits in 397 soybean accessions were characterized and a high-density single nucleotide polymorphisms (SNPs)-based genome-wide association study was performed to identify the underlying genes associated with root structure. SNPs associated with root architectural traits specific to landraces and elite germplasm pools were detected. Four loci were detected in landraces for lateral root number (LRN) and distribution of root thickness in diameter Class I with a major locus on chromosome 16. This major loci was detected in the coding region of unknown protein, and subsequent analyses demonstrated that root traits are affected with mutated haplotypes of the gene. In elite germplasm pool, 3 significant SNPs in alanine-glyoxalate aminotransferase, Leucine-Rich Repeat receptor/No apical meristem, and unknown functional genes were found to govern multiple traits including root surface area and volume. However, no major loci were detected for LRN in elite germplasm. Nucleotide diversity analysis found evidence of selective sweeps around the landraces LRN gene. Soybean accessions with minor and mutated allelic variants of LRN gene were found to perform better in both water-limited and optimal field conditions.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  development; drought; genetic variation; genome-wide association; root architecture; yield under drought stress

Mesh:

Year:  2018        PMID: 29749073     DOI: 10.1111/pce.13333

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  4 in total

1.  Dissecting the Root Phenotypic and Genotypic Variability of the Iowa Mung Bean Diversity Panel.

Authors:  Kevin O Chiteri; Talukder Zaki Jubery; Somak Dutta; Baskar Ganapathysubramanian; Steven Cannon; Arti Singh
Journal:  Front Plant Sci       Date:  2022-01-27       Impact factor: 5.753

2.  Characterization of Root System Architecture Traits in Diverse Soybean Genotypes Using a Semi-Hydroponic System.

Authors:  Shuo Liu; Naheeda Begum; Tingting An; Tuanjie Zhao; Bingcheng Xu; Suiqi Zhang; Xiping Deng; Hon-Ming Lam; Henry T Nguyen; Kadambot H M Siddique; Yinglong Chen
Journal:  Plants (Basel)       Date:  2021-12-16

3.  Intraspecific Variation for Leaf Physiological and Root Morphological Adaptation to Drought Stress in Alfalfa (Medicago sativa L.).

Authors:  Silvas Prince; Md Rokebul Anower; Christy M Motes; Timothy D Hernandez; Fuqi Liao; Laura Putman; Rob Mattson; Anand Seethepalli; Kushendra Shah; Michael Komp; Perdeep Mehta; Larry M York; Carolyn Young; Maria J Monteros
Journal:  Front Plant Sci       Date:  2022-05-03       Impact factor: 5.753

4.  Mapping and validation of a major QTL for primary root length of soybean seedlings grown in hydroponic conditions.

Authors:  Huatao Chen; Giriraj Kumawat; Yongliang Yan; Baojie Fan; Donghe Xu
Journal:  BMC Genomics       Date:  2021-02-23       Impact factor: 3.969

  4 in total

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