Literature DB >> 33584748

Multiple Small-Effect Alleles of Indica Origin Enhance High Iron-Associated Stress Tolerance in Rice Under Field Conditions in West Africa.

Giovanni Melandri1, Mouritala Sikirou2,3, Juan D Arbelaez1, Afeez Shittu2, Vimal K Semwal2, Kadougoudiou A Konaté4, Alhassan T Maji5, Steven A Ngaujah6, Inoussa Akintayo7,8, Vishnu Govindaraj1, Yuxin Shi1, Francisco J Agosto-Peréz1, Anthony J Greenberg9, Gary Atlin10, Venuprasad Ramaiah2, Susan R McCouch1.   

Abstract

Understanding the genetics of field-based tolerance to high iron-associated (HIA) stress in rice can accelerate the development of new varieties with enhanced yield performance in West African lowland ecosystems. To date, few field-based studies have been undertaken to rigorously evaluate rice yield performance under HIA stress conditions. In this study, two NERICA × O. sativa bi-parental rice populations and one O.sativa diversity panel consisting of 296 rice accessions were evaluated for grain yield and leaf bronzing symptoms over multiple years in four West African HIA stress and control sites. Mapping of these traits identified a large number of QTLs and single nucleotide polymorphisms (SNPs) associated with stress tolerance in the field. Favorable alleles associated with tolerance to high levels of iron in anaerobic rice soils were rare and almost exclusively derived from the indica subpopulation, including the most favorable alleles identified in NERICA varieties. These findings highlight the complex genetic architecture underlying rice response to HIA stress and suggest that a recurrent selection program focusing on an expanded indica genepool could be productively used in combination with genomic selection to increase the efficiency of selection in breeding programs designed to enhance tolerance to this prevalent abiotic stress in West Africa.
Copyright © 2021 Melandri, Sikirou, Arbelaez, Shittu, Semwal, Konaté, Maji, Ngaujah, Akintayo, Govindaraj, Shi, Agosto-Peréz, Greenberg, Atlin, Ramaiah and McCouch.

Entities:  

Keywords:  NERICA; Oryza sativa; QTL mapping; genome wide association studies (GWAS); haplotype analysis; high iron associated (HIA) stress; iron toxicity

Year:  2021        PMID: 33584748      PMCID: PMC7874229          DOI: 10.3389/fpls.2020.604938

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


  41 in total

1.  Variance component model to account for sample structure in genome-wide association studies.

Authors:  Hyun Min Kang; Jae Hoon Sul; Susan K Service; Noah A Zaitlen; Sit-Yee Kong; Nelson B Freimer; Chiara Sabatti; Eleazar Eskin
Journal:  Nat Genet       Date:  2010-03-07       Impact factor: 38.330

Review 2.  How do crop plants tolerate acid soils? Mechanisms of aluminum tolerance and phosphorous efficiency.

Authors:  Leon V Kochian; Owen A Hoekenga; Miguel A Pineros
Journal:  Annu Rev Plant Biol       Date:  2004       Impact factor: 26.379

3.  A framework for variation discovery and genotyping using next-generation DNA sequencing data.

Authors:  Mark A DePristo; Eric Banks; Ryan Poplin; Kiran V Garimella; Jared R Maguire; Christopher Hartl; Anthony A Philippakis; Guillermo del Angel; Manuel A Rivas; Matt Hanna; Aaron McKenna; Tim J Fennell; Andrew M Kernytsky; Andrey Y Sivachenko; Kristian Cibulskis; Stacey B Gabriel; David Altshuler; Mark J Daly
Journal:  Nat Genet       Date:  2011-04-10       Impact factor: 38.330

4.  Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa.

Authors:  Keyan Zhao; Chih-Wei Tung; Georgia C Eizenga; Mark H Wright; M Liakat Ali; Adam H Price; Gareth J Norton; M Rafiqul Islam; Andy Reynolds; Jason Mezey; Anna M McClung; Carlos D Bustamante; Susan R McCouch
Journal:  Nat Commun       Date:  2011-09-13       Impact factor: 14.919

5.  Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa).

Authors:  Hasina Begum; Jennifer E Spindel; Antonio Lalusin; Teresita Borromeo; Glenn Gregorio; Jose Hernandez; Parminder Virk; Bertrand Collard; Susan R McCouch
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

Review 6.  IR64: a high-quality and high-yielding mega variety.

Authors:  David J Mackill; Gurdev S Khush
Journal:  Rice (N Y)       Date:  2018-04-09       Impact factor: 4.783

Review 7.  Tolerance of Iron-Deficient and -Toxic Soil Conditions in Rice.

Authors:  Anumalla Mahender; B P Mallikarjuna Swamy; Annamalai Anandan; Jauhar Ali
Journal:  Plants (Basel)       Date:  2019-01-28

8.  Screening African rice (Oryza glaberrima) for tolerance to abiotic stresses: I. Fe toxicity.

Authors:  M Sikirou; A Shittu; K A Konaté; A T Maji; A S Ngaujah; K A Sanni; S A Ogunbayo; I Akintayo; K Saito; K N Dramé; A Ahanchédé; R Venuprasad
Journal:  Field Crops Res       Date:  2018-05-01       Impact factor: 5.224

9.  QTL mapping and candidate gene analysis of ferrous iron and zinc toxicity tolerance at seedling stage in rice by genome-wide association study.

Authors:  Jian Zhang; Kai Chen; Yunlong Pang; Shahzad Amir Naveed; Xiuqin Zhao; Xiaoqian Wang; Yun Wang; Michael Dingkuhn; Julie Pasuquin; Zhikang Li; Jianlong Xu
Journal:  BMC Genomics       Date:  2017-10-27       Impact factor: 3.969

10.  Improving Genomic Selection With Quantitative Trait Loci and Nonadditive Effects Revealed by Empirical Evidence in Maize.

Authors:  Xiaogang Liu; Hongwu Wang; Xiaojiao Hu; Kun Li; Zhifang Liu; Yujin Wu; Changling Huang
Journal:  Front Plant Sci       Date:  2019-09-18       Impact factor: 5.753

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