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Author  |
Brendel, O.; Le Thiec, D.; Scotti-Saintagne, C.; Bodenes, C.; Kremer, A.; Guehl, J.M. |
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Title |
Quantitative trait loci controlling water use efficiency and related traits in Quercus robur L |
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Journal Article |
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Year |
2008 |
Publication |
Tree Genetics & Genomes |
Abbreviated Journal |
Tree Genet. Genomes |
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Volume |
4 |
Issue |
2 |
Pages |
263-278 |
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Keywords |
Quercus robur; carbon isotope composition; delta C-13; water use efficiency; QTL |
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Abstract |
Genetic variation for intrinsic water use efficiency (W-i) and related traits was estimated in a full-sib family of Quercus robur L. over 3 years. The genetic linkage map available for this F1 family was used to locate quantitative trait loci (QTL) for W-i, as estimated by leaf carbon stable isotope composition (delta C-13) or the ratio of net CO2 assimilation rate (A) to stomatal conductance to water vapour (g(w)) and related leaf traits. Gas exchange measurements were used to standardize estimates of A and g(w) and to model the sensitivity of gw to leaf-to-air vapour pressure deficit (sg(VPD)). delta C-13 varied by more than 3% among the siblings, which is equivalent to 40% variation of W-i. Most of the studied traits exhibited high clonal mean repeat-abilities (> 50%; proportion of clonal mean variability in global variance). Repeatabilities for delta C-13, leaf mass per area (LMA) and leaf nitrogen content were higher than 70%. For delta C-13, ten QTLs were detected, one of which was detected repeatedly for all 3 years and consistently explained more than 20% of measured variance. Four genomic regions were found in which co-localizing traits linked variation in W-i to variations in leaf chlorophyll and nitrogen content, LMA and sg(VPD). A positive correlation using clonal means between delta C-13 and A/g(w), as well as a co-localisation of QTL detected for both traits, can be seen as validation of the theoretical model linking the genetic architecture of these two traits. |
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Address |
[Brendel, Oliver; Le Thiec, Didier; Guehl, Jean-Marc] Ctr INRA Nancy, UMR INRA UHP 1137, F-54280 Seichamps, France, Email: brendel@nancy.inra.fr |
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Publisher |
SPRINGER HEIDELBERG |
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Edition |
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ISSN |
1614-2942 |
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Notes |
ISI:000253091100013 |
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Call Number |
EcoFoG @ eric.marcon @ |
Serial |
143 |
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