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Genetic mapping of quantitative trait loci underlying flowering time in chrysanthemum (Chrysanthemum morifolium).


ABSTRACT: Flowering time is an important trait in chrysanthemum, but its genetic basis remains poorly understood. An intra-specific mapping population bred from the cross between the autumn-flowering cultivar 'Yuhualuoying' and the summer-flowering 'Aoyunhanxiao' was used to determine the number and relative effect of QTL segregating for five measures of flowering time. From flowering time data recorded over two consecutive seasons, 35 additive QTL were detected, each explaining between 5.8% and 22.7% of the overall phenotypic variance. Of these, 13 were detected in both years. Nine genomic regions harboring QTL for at least two of the five traits were identified. Ten pairs of loci epistatically determined the flowering time, but their contribution to the overall phenotypic variance was less than for the additive QTL. The results suggest that flowering time in chrysanthemum is principally governed by main effect QTL but that epistasis also contributes to the genetic architecture of the trait, and the major QTL identified herein are useful in our ongoing efforts to streamline the improvement of chrysanthemum via the use of molecular methodology.

SUBMITTER: Zhang F 

PROVIDER: S-EPMC3859611 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Genetic mapping of quantitative trait loci underlying flowering time in chrysanthemum (Chrysanthemum morifolium).

Zhang Fei F   Chen Sumei S   Jiang Jiafu J   Guan Zhiyong Z   Fang Weimin W   Chen Fadi F  

PloS one 20131211 12


Flowering time is an important trait in chrysanthemum, but its genetic basis remains poorly understood. An intra-specific mapping population bred from the cross between the autumn-flowering cultivar 'Yuhualuoying' and the summer-flowering 'Aoyunhanxiao' was used to determine the number and relative effect of QTL segregating for five measures of flowering time. From flowering time data recorded over two consecutive seasons, 35 additive QTL were detected, each explaining between 5.8% and 22.7% of  ...[more]

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