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Identification of Quantitative Trait Loci Associated with Water-use Efficiency and Related Traits in Lycopersicon

利用RFLP分子標志厘定與番茄水分利用效率相關數量性狀之基因位置

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摘要


F2 plants from a Lycopersicon esculentum x L. pennellii cross were grown in containers in the field. In 1996,100 plants were well-watered (wet environment)and another 100 plants received reduced water (dry environment). In 1997, well-watered plants were terminated either early or late in the season. Water-use efficiency (WUE),carbon isotope discrimination(△),dry weight(DW) and water use(WU)were measured. A linkage map was constructed with 108 RFLP markers at an average interval length of 17.2cM.Twenty-eight regions on 11 chromosomes were detected with significant QTL for the four traits combined. In general, the investigated traits were controlled by different genes, and the same trait was controlled by many genes distributed in different environments. However, a few markers were linked to two or three traits suggesting either pleiotropic effects or, alternatively, closely linked genes for different traits. Results from gene effect analysis suggested DW may be increased and WU reduced by marker-assisted selection using a single marker, and that both WUE and DW may be simultaneously increased. There was a highly significant negative phenotypic correlation between WUE and △ in all environments, but no common marker for WUE and △ was detected, suggesting that targeting QTL for △ would be ineffective to improve WUE.

並列摘要


F2 plants from a Lycopersicon esculentum x L. pennellii cross were grown in containers in the field. In 1996,100 plants were well-watered (wet environment)and another 100 plants received reduced water (dry environment). In 1997, well-watered plants were terminated either early or late in the season. Water-use efficiency (WUE),carbon isotope discrimination(△),dry weight(DW) and water use(WU)were measured. A linkage map was constructed with 108 RFLP markers at an average interval length of 17.2cM.Twenty-eight regions on 11 chromosomes were detected with significant QTL for the four traits combined. In general, the investigated traits were controlled by different genes, and the same trait was controlled by many genes distributed in different environments. However, a few markers were linked to two or three traits suggesting either pleiotropic effects or, alternatively, closely linked genes for different traits. Results from gene effect analysis suggested DW may be increased and WU reduced by marker-assisted selection using a single marker, and that both WUE and DW may be simultaneously increased. There was a highly significant negative phenotypic correlation between WUE and △ in all environments, but no common marker for WUE and △ was detected, suggesting that targeting QTL for △ would be ineffective to improve WUE.

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