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PMID: 18073439 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

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

Genetics ·Vol. 177 ·No. 4 ·2007-12-00 ·Pages 2433-44

Long Y, Shi J, Qiu D, Li R, Zhang C, Wang J, Hou J, Zhao J, Shi L, Park BS, Choi SR, Lim YP, Meng J

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.

MeSH Terms
Arabidopsis/genetics Brassica napus/genetics Chromosome Mapping Computational Biology Crops, Agricultural Databases, Nucleic Acid Environment Flowers/genetics Gene Regulatory Networks Genetic Variation Genome, Plant Quantitative Trait Loci Seasons
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Long Y
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Shi J
Qiu D
Li R
Zhang C
Wang J
Hou J
Zhao J
Shi L
Park Beom-Seok
Choi S R
Lim Y P
Meng J
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
DOI
10.1534/genetics.107.080705
Published
2007-12-00
Pages
2433-44
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC2219480
Subset
IM
External Links
PubMed source DOI: 10.1534/genetics.107.080705 PMC Full Text View journal details
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