油菜开花期QTL定位及与粒重的遗传关联性

doi:10.3864/j.issn.0578-1752.2016.16.002

Abstract

Abstract: 【Objective】The present research aimed to explore the major QTL controlling the flowering time in European and Chinese rapeseed materials, to analyze the genetic influence of flowering time on QTL for 1000-seeds weight, and thus to provide available information for breeding purpose.【Method】The doubled haploid (DH) Sollux/Gaoyou population with 282 lines was used. The data set of flowering time was obtained from nine environments and over seven years. QTL identification of flowering time was performed using WinQTLCart 2.5. The candidate genes underlining QTLs were screened out by transcriptome analysis using RNA-Seq and alignment between QTL regions and Arabidopsis. Further, conditional QTL estimation was adopted to dissect the genetic relationships between flowering time and seed weight. Finally, using selected DH lines with extreme phenotypes of flowering time, an association evaluation between marker genotypes and phenotypes of flowering time was performed. 【Result】 Seven major QTLs were detected, which showing significant at least in three environments. Their additive effects ranged from 0.58-3.85 days and together accounted for around 84% of the phenotypic variation in population. The sum of eight pairs of epistatic loci (additive × additive) accounted for 41.8% of the total additive effects. QTL by environmental interactions were significant only in few environments with small amount of genetic effects. Four critical orthologous genes of Arabidopsis thaliana for flowering time were mapped in the peak positions of three most significant QTL regions (qFTA2, qFTC2, and qFTC6). It provides valuable information to anchor candidate genes underling QTL. The conditional QTL analysis revealed large impact of flowering time on seed weight in four QTLs (qSWA2, qSWA3, qSWA4, and qSWC2). This partly explained the significant negative correlation between flowering time and 1000-seed weight. While the most important two (qSWA7 and qSWC8) showed independent without being interfered. Six markers linked with three major QTLs showed good fitness between marker genotypes and trait phenotypes (70%-100%), indicating their potentials for breeding purpose. The results demonstrated that the combination of early flowering alleles from qFTA2, qFTC2 and qFTC6 by marker assistant selection of ZAAS548, DNAPL, ZAAS619sa, ZAAS616s, ZAAS846a and C6SGFLO-22 induced not only early flowering but also significantly increased 1000-seed weight, while the oil content and seeds per silique between two extreme flowering time groups showed almost the same.【Conclusion】All seven QTLs of flowering time showed Chinese parent Gaoyou induced early flowering. Four important candidate genes homologous to Arabidopsis controlling flowering time (FT, FLC, AP1, and FY) were physically aligned and mapped underlining the peak positions of the three major QTL qFTA2, qFTC2 and qFTC6. The results indicated that the four loci corresponding to seed weight were genetically influenced by flowering time, however, the most important two (qSWA7 and qSWC8) were independent. Six markers linked to the 3 major QTL were of potentials in the practical breeding program.

Key words: Brassica napus L., QTL mapping, flowering time, 1000-seeds weight, conditional QTL mapping

HUANG Ji-xiang, XIONG Hua-xin, PAN Bing, NI Xi-yuan, ZHANG Xiao-yu, ZHAO Jian-yi. Mapping QTL of Flowering Time and Their Genetic Relationships with Seed Weight in Brassica napus[J].Scientia Agricultura Sinica, 2016, 49(16): 3073-3083.

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Mapping QTL of Flowering Time and Their Genetic Relationships with Seed Weight in Brassica napus

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