Unknown

Dataset Information

0

Flowering time quantitative trait Loci analysis of oilseed brassica in multiple environments and genomewide alignment with Arabidopsis.


ABSTRACT: Most agronomical traits exhibit quantitative variation, which is controlled by multiple genes and are environmentally dependent. To study the genetic variation of flowering time in Brassica napus, a DH population and its derived reconstructed F(2) population were planted in 11 field environments. The flowering time varied greatly with environments; 60% of the phenotypic variation was attributed to genetic effects. Five to 18 QTL at a statistically significant level (SL-QTL) were detected in each environment and, on average, two new SL-QTL were discovered with each added environment. Another type of QTL, micro-real QTL (MR-QTL), was detected repeatedly from at least 2 of the 11 environments; resulting in a total of 36 SL-QTL and 6 MR-QTL. Sixty-three interacting pairs of loci were found; 50% of them were involved in QTL. Hundreds of floral transition genes in Arabidopsis were aligned with the linkage map of B. napus by in silico mapping; 28% of them aligned with QTL regions and 9% were consistent with interacting loci. One locus, BnFLC10, in N10 and a QTL cluster in N16 were specific to spring- and winter-cropped environments respectively. The number of QTL, interacting loci, and aligned functional genes revealed a complex genetic network controlling flowering time in B. napus.

SUBMITTER: Long Y 

PROVIDER: S-EPMC2219480 | biostudies-literature | 2007 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Flowering time quantitative trait Loci analysis of oilseed brassica in multiple environments and genomewide alignment with Arabidopsis.

Long Y Y   Shi J J   Qiu D D   Li R R   Zhang C C   Wang J J   Hou J J   Zhao J J   Shi L L   Park Beom-Seok BS   Choi S R SR   Lim Y P YP   Meng J J  

Genetics 20071201 4


Most agronomical traits exhibit quantitative variation, which is controlled by multiple genes and are environmentally dependent. To study the genetic variation of flowering time in Brassica napus, a DH population and its derived reconstructed F(2) population were planted in 11 field environments. The flowering time varied greatly with environments; 60% of the phenotypic variation was attributed to genetic effects. Five to 18 QTL at a statistically significant level (SL-QTL) were detected in each  ...[more]

Similar Datasets

| S-EPMC3454432 | biostudies-literature
| S-EPMC1235539 | biostudies-literature
| S-EPMC2793389 | biostudies-literature
| S-EPMC4111298 | biostudies-literature
| S-EPMC1224534 | biostudies-literature
| S-EPMC6599112 | biostudies-literature
| S-EPMC10908622 | biostudies-literature
| S-EPMC3859611 | biostudies-literature
| S-EPMC4585775 | biostudies-literature
| S-EPMC5287126 | biostudies-literature