Literature DB >> 21795581

A common genetic determinism for sensitivities to soil water deficit and evaporative demand: meta-analysis of quantitative trait Loci and introgression lines of maize.

Claude Welcker1, Walid Sadok, Grégoire Dignat, Morgan Renault, Silvio Salvi, Alain Charcosset, François Tardieu.   

Abstract

Evaporative demand and soil water deficit equally contribute to water stress and to its effect on plant growth. We have compared the genetic architectures of the sensitivities of maize (Zea mays) leaf elongation rate with evaporative demand and soil water deficit. The former was measured via the response to leaf-to-air vapor pressure deficit in well-watered plants, the latter via the response to soil water potential in the absence of evaporative demand. Genetic analyses of each sensitivity were performed over 21 independent experiments with (1) three mapping populations, with temperate or tropical materials, (2) one population resulting from the introgression of a tropical drought-tolerant line in a temperate line, and (3) two introgression libraries genetically independent from mapping populations. A very large genetic variability was observed for both sensitivities. Some lines maintained leaf elongation at very high evaporative demand or water deficit, while others stopped elongation in mild conditions. A complex architecture arose from analyses of mapping populations, with 19 major meta-quantitative trait loci involving strong effects and/or more than one mapping population. A total of 68% of those quantitative trait loci affected sensitivities to both evaporative demand and soil water deficit. In introgressed lines, 73% of the tested genomic regions affected both sensitivities. To our knowledge, this study is the first genetic demonstration that hydraulic processes, which drive the response to evaporative demand, also have a large contribution to the genetic variability of plant growth under water deficit in a large range of genetic material.

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Year:  2011        PMID: 21795581      PMCID: PMC3192567          DOI: 10.1104/pp.111.176479

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  38 in total

1.  Comparative map and trait viewer (CMTV): an integrated bioinformatic tool to construct consensus maps and compare QTL and functional genomics data across genomes and experiments.

Authors:  M C Sawkins; A D Farmer; D Hoisington; J Sullivan; A Tolopko; Z Jiang; J-M Ribaut
Journal:  Plant Mol Biol       Date:  2004-10       Impact factor: 4.076

2.  Are source and sink strengths genetically linked in maize plants subjected to water deficit? A QTL study of the responses of leaf growth and of Anthesis-Silking Interval to water deficit.

Authors:  C Welcker; B Boussuge; C Bencivenni; J-M Ribaut; F Tardieu
Journal:  J Exp Bot       Date:  2006-11-27       Impact factor: 6.992

3.  Dynamic Relation between Expansion and Cellular Turgor in Growing Grape (Vitis vinifera L.) Leaves.

Authors:  K A Shackel; M A Matthews; J C Morrison
Journal:  Plant Physiol       Date:  1987-08       Impact factor: 8.340

Review 4.  Dissection and modelling of abiotic stress tolerance in plants.

Authors:  François Tardieu; Roberto Tuberosa
Journal:  Curr Opin Plant Biol       Date:  2010-01-25       Impact factor: 7.834

5.  Hydraulic Signals from the Roots and Rapid Cell-Wall Hardening in Growing Maize (Zea mays L.) Leaves Are Primary Responses to Polyethylene Glycol-Induced Water Deficits.

Authors:  O. Chazen; P. M. Neumann
Journal:  Plant Physiol       Date:  1994-04       Impact factor: 8.340

Review 6.  Control of leaf growth by abscisic acid: hydraulic or non-hydraulic processes?

Authors:  François Tardieu; Boris Parent; Thierry Simonneau
Journal:  Plant Cell Environ       Date:  2009-11-25       Impact factor: 7.228

7.  Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability.

Authors:  Marco Maccaferri; Maria Corinna Sanguineti; Simona Corneti; José Luis Araus Ortega; Moncef Ben Salem; Jordi Bort; Enzo DeAmbrogio; Luis Fernando Garcia del Moral; Andrea Demontis; Ahmed El-Ahmed; Fouad Maalouf; Hassan Machlab; Vanessa Martos; Marc Moragues; Jihan Motawaj; Miloudi Nachit; Nasserlehaq Nserallah; Hassan Ouabbou; Conxita Royo; Amor Slama; Roberto Tuberosa
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

8.  Diel time-courses of leaf growth in monocot and dicot species: endogenous rhythms and temperature effects.

Authors:  Richard Poiré; Anika Wiese-Klinkenberg; Boris Parent; Michael Mielewczik; Ulrich Schurr; François Tardieu; Achim Walter
Journal:  J Exp Bot       Date:  2010-03-18       Impact factor: 6.992

9.  Aquaporin-mediated reduction in maize root hydraulic conductivity impacts cell turgor and leaf elongation even without changing transpiration.

Authors:  Christina Ehlert; Christophe Maurel; François Tardieu; Thierry Simonneau
Journal:  Plant Physiol       Date:  2009-04-15       Impact factor: 8.340

10.  MetaQTL: a package of new computational methods for the meta-analysis of QTL mapping experiments.

Authors:  Jean-Baptiste Veyrieras; Bruno Goffinet; Alain Charcosset
Journal:  BMC Bioinformatics       Date:  2007-02-08       Impact factor: 3.169

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  19 in total

1.  A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.).

Authors:  Yijun Wang; Jing Xu; Dexiang Deng; Haidong Ding; Yunlong Bian; Zhitong Yin; Yarong Wu; Bo Zhou; Ye Zhao
Journal:  Planta       Date:  2015-10-16       Impact factor: 4.116

Review 2.  Genetic and physiological controls of growth under water deficit.

Authors:  François Tardieu; Boris Parent; Cecilio F Caldeira; Claude Welcker
Journal:  Plant Physiol       Date:  2014-02-25       Impact factor: 8.340

3.  Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field.

Authors:  Boris Parent; Julien Bonneau; Lance Maphosa; Alex Kovalchuk; Peter Langridge; Delphine Fleury
Journal:  Plant Physiol       Date:  2017-05-25       Impact factor: 8.340

Review 4.  Modelling the coordination of the controls of stomatal aperture, transpiration, leaf growth, and abscisic acid: update and extension of the Tardieu-Davies model.

Authors:  François Tardieu; Thierry Simonneau; Boris Parent
Journal:  J Exp Bot       Date:  2015-03-14       Impact factor: 6.992

5.  Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci.

Authors:  Santosh Gudi; Dinesh Kumar Saini; Gurjeet Singh; Priyanka Halladakeri; Pradeep Kumar; Mohammad Shamshad; Mohammad Jafar Tanin; Satinder Singh; Achla Sharma
Journal:  Planta       Date:  2022-05-05       Impact factor: 4.116

6.  A hydraulic model is compatible with rapid changes in leaf elongation under fluctuating evaporative demand and soil water status.

Authors:  Cecilio F Caldeira; Mickael Bosio; Boris Parent; Linda Jeanguenin; François Chaumont; François Tardieu
Journal:  Plant Physiol       Date:  2014-01-13       Impact factor: 8.340

7.  Flooding tolerance in interspecific introgression lines containing chromosome segments from teosinte (Zea nicaraguensis) in maize (Zea mays subsp. mays).

Authors:  Y Mano; F Omori
Journal:  Ann Bot       Date:  2013-07-21       Impact factor: 4.357

8.  Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.

Authors:  Yang Yang; Aduragbemi Amo; Di Wei; Yongmao Chai; Jie Zheng; Pengfang Qiao; Chunge Cui; Shan Lu; Liang Chen; Yin-Gang Hu
Journal:  Theor Appl Genet       Date:  2021-06-17       Impact factor: 5.699

9.  Plant response to environmental conditions: assessing potential production, water demand, and negative effects of water deficit.

Authors:  François Tardieu
Journal:  Front Physiol       Date:  2013-02-18       Impact factor: 4.566

10.  Phenotyping for drought tolerance of crops in the genomics era.

Authors:  Roberto Tuberosa
Journal:  Front Physiol       Date:  2012-09-19       Impact factor: 4.566

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