Literature DB >> 33677700

Stable and Novel Quantitative Trait Loci (QTL) Confer Narrow Root Cone Angle in an Aerobic Rice (Oryza sativa L.) Production System.

Ricky Vinarao1, Christopher Proud1, Xiaolu Zhang1, Peter Snell2, Shu Fukai1, Jaquie Mitchell3.   

Abstract

BACKGROUND: Aerobic rice production (AP) may be a solution to the looming water crisis by utilising less water compared to traditional flooded culture. As such, development of genotypes with narrow root cone angle (RCA) is considered a key AP adaptation trait as it could lead to deeper rooting and ensure water uptake at depth. Quantitative trait loci (QTL) and genes associated with rooting angle have been identified in rice, but usually in conventional transplanted systems or in upland and drought conditions. This study aimed to identify QTL associated with RCA in AP systems using a recombinant inbred line population derived from IRAT109.
RESULTS: Four experiments conducted in glasshouse and aerobic field conditions revealed significant genotypic variation existed for RCA in the population. Single and multiple QTL models identified the presence of eight QTL distributed in chromosomes 1, 2, 3, 4, and 11. Combined, these QTL explained 36.7-51.2% of the genotypic variance in RCA present in the population. Two QTL, qRCA1.1 and qRCA1.3, were novel and may be new targets for improvement of RCA. Genotypes with higher number of favourable QTL alleles tended to have narrower RCA. qRCA4 was shown to be a major and stable QTL explaining up to 24.3% of the genotypic variation, and the presence of the target allele resulted in as much as 8.6° narrower RCA. Several genes related to abiotic stress stimulus response were found in the qRCA4 region.
CONCLUSION: Stable and novel genomic regions associated with RCA have been identified. Genotypes which had combinations of these QTL, resulted in a narrower RCA phenotype. Allele mining, gene cloning, and physiological dissection should aid in understanding the molecular function and mechanisms underlying RCA and these QTL. Ultimately, our work provides an opportunity for breeding programs to develop genotypes with narrow RCA and deep roots for improved adaptation in an AP system for sustainable rice production.

Entities:  

Keywords:  Aerobic production; QTL mapping; Rice; Root cone angle

Year:  2021        PMID: 33677700     DOI: 10.1186/s12284-021-00471-2

Source DB:  PubMed          Journal:  Rice (N Y)        ISSN: 1939-8425            Impact factor:   4.783


  17 in total

1.  R/qtl: QTL mapping in experimental crosses.

Authors:  Karl W Broman; Hao Wu; Saunak Sen; Gary A Churchill
Journal:  Bioinformatics       Date:  2003-05-01       Impact factor: 6.937

2.  Systematic detection of errors in genetic linkage data.

Authors:  S E Lincoln; E S Lander
Journal:  Genomics       Date:  1992-11       Impact factor: 5.736

3.  Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares.

Authors:  Trevor Hastie; Rahul Mazumder; Jason D Lee; Reza Zadeh
Journal:  J Mach Learn Res       Date:  2015       Impact factor: 3.654

4.  A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

5.  Constraints and potentials of future irrigation water availability on agricultural production under climate change.

Authors:  Joshua Elliott; Delphine Deryng; Christoph Müller; Katja Frieler; Markus Konzmann; Dieter Gerten; Michael Glotter; Martina Flörke; Yoshihide Wada; Neil Best; Stephanie Eisner; Balázs M Fekete; Christian Folberth; Ian Foster; Simon N Gosling; Ingjerd Haddeland; Nikolay Khabarov; Fulco Ludwig; Yoshimitsu Masaki; Stefan Olin; Cynthia Rosenzweig; Alex C Ruane; Yusuke Satoh; Erwin Schmid; Tobias Stacke; Qiuhong Tang; Dominik Wisser
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

6.  dartr: An r package to facilitate analysis of SNP data generated from reduced representation genome sequencing.

Authors:  Bernd Gruber; Peter J Unmack; Oliver F Berry; Arthur Georges
Journal:  Mol Ecol Resour       Date:  2018-01-15       Impact factor: 7.090

7.  Construction of multilocus genetic linkage maps in humans.

Authors:  E S Lander; P Green
Journal:  Proc Natl Acad Sci U S A       Date:  1987-04       Impact factor: 11.205

8.  Development of 25 near-isogenic lines (NILs) with ten BPH resistance genes in rice (Oryza sativa L.): production, resistance spectrum, and molecular analysis.

Authors:  Kshirod K Jena; Sherry Lou Hechanova; Holden Verdeprado; G D Prahalada; Sung-Ryul Kim
Journal:  Theor Appl Genet       Date:  2017-08-09       Impact factor: 5.699

9.  Quantitative trait locus mapping of deep rooting by linkage and association analysis in rice.

Authors:  Qiaojun Lou; Liang Chen; Hanwei Mei; Haibin Wei; Fangjun Feng; Pei Wang; Hui Xia; Tiemei Li; Lijun Luo
Journal:  J Exp Bot       Date:  2015-05-28       Impact factor: 6.992

Review 10.  Back to the future: revisiting MAS as a tool for modern plant breeding.

Authors:  Joshua N Cobb; Partha S Biswas; J Damien Platten
Journal:  Theor Appl Genet       Date:  2018-12-17       Impact factor: 5.699

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  2 in total

1.  Genomic Regions and Floral Traits Contributing to Low Temperature Tolerance at Young Microspore Stage in a Rice (Oryza sativa L.) Recombinant Inbred Line Population of Sherpa/IRAT109.

Authors:  Ricky Vinarao; Christopher Proud; Peter Snell; Shu Fukai; Jaquie Mitchell
Journal:  Front Plant Sci       Date:  2022-04-29       Impact factor: 6.627

2.  Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.).

Authors:  Zhanyou Xu; Larry M York; Anand Seethepalli; Bruna Bucciarelli; Hao Cheng; Deborah A Samac
Journal:  Plant Phenomics       Date:  2022-04-07
  2 in total

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