Literature DB >> 33675373

Genetic analysis of wheat (Triticum aestivum) adaptation to heat stress.

Paul Telfer1,2, James Edwards3,4, Adam Norman3,4, Dion Bennett5, Alison Smith6, Jason A Able3, Haydn Kuchel3,4.   

Abstract

KEY MESSAGE: Adaptation to abiotic stresses such as high-temperature conditions should be considered as its independent components of total performance and responsiveness. Understanding and identifying improved adaptation to abiotic stresses such as heat stress has been the focus of a number of studies in recent decades. However, confusing and potentially misleading terminology has made progress difficult and hard to apply within breeding programs selecting for improved adaption to heat stress conditions. This study proposes that adaption to heat stress (and other abiotic stresses) be considered as the combination of total performance and responsiveness to heat stress. In this study, 1413 doubled haploid lines from seven populations were screened through a controlled environment assay, subjecting plants to three consecutive eight hour days of an air temperature of 36 °C and a wind speed of 40 km h-1, 10 days after the end of anthesis. QTL mapping identified a total of 96 QTL for grain yield determining traits and anthesis date with nine correlating to responsiveness, 72 for total performance and 15 for anthesis date. Responsiveness QTL were found both collocated with other performance QTL as well as independently. A sound understanding of genomic regions associated with total performance and responsiveness will be important for breeders. Genomic regions of total performance, those that show higher performance that is stable under both stressed and non-stressed conditions, potentially offer significant opportunities to breeders. We propose this as a definition and selection target that has not previously been defined for heat stress adaptation.

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Year:  2021        PMID: 33675373     DOI: 10.1007/s00122-021-03778-2

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  22 in total

Review 1.  Abiotic stress and control of grain number in cereals.

Authors:  Rudy Dolferus; Xuemei Ji; Richard A Richards
Journal:  Plant Sci       Date:  2011-06-01       Impact factor: 4.729

2.  Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat.

Authors:  C Groos; N Robert; E Bervas; G Charmet
Journal:  Theor Appl Genet       Date:  2002-10-03       Impact factor: 5.699

3.  Multi-environment analysis and improved mapping of a yield-related QTL on chromosome 3B of wheat.

Authors:  Julien Bonneau; Julian Taylor; Boris Parent; Dion Bennett; Matthew Reynolds; Catherine Feuillet; Peter Langridge; Diane Mather
Journal:  Theor Appl Genet       Date:  2012-12-20       Impact factor: 5.699

4.  Genetic dissection of grain size and grain number trade-offs in CIMMYT wheat germplasm.

Authors:  Simon Griffiths; Luzie Wingen; Julian Pietragalla; Guillermo Garcia; Ahmed Hasan; Daniel Miralles; Daniel F Calderini; Jignaben Bipinchandra Ankleshwaria; Michelle Leverington Waite; James Simmonds; John Snape; Matthew Reynolds
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

5.  The Photoperiod-Insensitive Allele Ppd-D1a Promotes Earlier Flowering in Rht12 Dwarf Plants of Bread Wheat.

Authors:  Liang Chen; Yingying Du; Qiumei Lu; Hua Chen; Ruishuang Meng; Chunge Cui; Shan Lu; Yang Yang; Yongmao Chai; Juan Li; Lulu Liu; Xiangning Qi; Hang Li; Kohei Mishina; Fei Yu; Yin-Gang Hu
Journal:  Front Plant Sci       Date:  2018-10-22       Impact factor: 5.753

6.  Linking the International Wheat Genome Sequencing Consortium bread wheat reference genome sequence to wheat genetic and phenomic data.

Authors:  Michael Alaux; Jane Rogers; Thomas Letellier; Raphaël Flores; Françoise Alfama; Cyril Pommier; Nacer Mohellibi; Sophie Durand; Erik Kimmel; Célia Michotey; Claire Guerche; Mikaël Loaec; Mathilde Lainé; Delphine Steinbach; Frédéric Choulet; Hélène Rimbert; Philippe Leroy; Nicolas Guilhot; Jérôme Salse; Catherine Feuillet; Etienne Paux; Kellye Eversole; Anne-Françoise Adam-Blondon; Hadi Quesneville
Journal:  Genome Biol       Date:  2018-08-17       Impact factor: 13.583

7.  Determining the Genetic Architecture of Reproductive Stage Drought Tolerance in Wheat Using a Correlated Trait and Correlated Marker Effect Model.

Authors:  Rudy Dolferus; Saravanan Thavamanikumar; Harriet Sangma; Sue Kleven; Xiaomei Wallace; Kerrie Forrest; Gregory Rebetzke; Matthew Hayden; Lauren Borg; Alison Smith; Brian Cullis
Journal:  G3 (Bethesda)       Date:  2019-02-07       Impact factor: 3.154

8.  Deregressing estimated breeding values and weighting information for genomic regression analyses.

Authors:  Dorian J Garrick; Jeremy F Taylor; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-12-31       Impact factor: 4.297

9.  Mapping QTLs for grain yield components in wheat under heat stress.

Authors:  Nabin Bhusal; Ashok Kumar Sarial; Pradeep Sharma; Sindhu Sareen
Journal:  PLoS One       Date:  2017-12-19       Impact factor: 3.240

10.  Effect of Ppd-A1 and Ppd-B1 Allelic Variants on Grain Number and Thousand Kernel Weight of Durum Wheat and Their Impact on Final Grain Yield.

Authors:  Jose M Arjona; Conxita Royo; Susanne Dreisigacker; Karim Ammar; Dolors Villegas
Journal:  Front Plant Sci       Date:  2018-06-29       Impact factor: 5.753

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  3 in total

1.  Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat.

Authors:  Gaëtan Touzy; Stéphane Lafarge; Elise Redondo; Vincent Lievin; Xavier Decoopman; Jacques Le Gouis; Sébastien Praud
Journal:  Theor Appl Genet       Date:  2022-01-05       Impact factor: 5.574

2.  Assessing the Heat Tolerance of Meiosis in Spanish Landraces of Tetraploid Wheat Triticum turgidum.

Authors:  Tomás Naranjo; Nieves Cuñado; Juan Luis Santos
Journal:  Plants (Basel)       Date:  2022-06-23

3.  A multi-environment framework to evaluate the adaptation of wheat (Triticum aestivum) to heat stress.

Authors:  Paul Telfer; James Edwards; Julian Taylor; Jason A Able; Haydn Kuchel
Journal:  Theor Appl Genet       Date:  2022-01-20       Impact factor: 5.574

  3 in total

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