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Journal of Integrative Agriculture  2015, Vol. 14 Issue (7): 1261-1268    DOI: 10.1016/S2095-3119(14)60958-8
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
QTL analysis of leaf photosynthesis rate and related physiological traits in Brassica napus
 YAN Xing-ying, QU Cun-min, LI Jia-na, CHEN Li, LIU Lie-zhao
1、College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, P.R.China
2、Biotechnology Research Center, Southwest University, Chongqing 400715, P.R.China
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摘要  Rapeseed (Brassica napus L.) oil is the crucial source of edible oil in China. In addition, it can become a major renewable and sustainable feedstock for biodiesel production in the future. It is known that photosynthesis products are the primary sources for dry matter accumulation in rapeseed. Therefore, increasing the photosynthetic efficiency is desirable for the raise of rapeseed yield. The objective of the present study was to identify the genetic mechanism of photosynthesis based on the description of relationships between different photosynthetic traits and their quantitative trait loci (QTL) by using a recombinant inbred line (RIL) population with 172 lines. Specifically, correlation analysis in this study showed that internal CO2 concentration has negative correlations with other three physiological traits under two different stages. Totally, 11 and 12 QTLs of the four physiological traits measured at the stages 1 and 2 were detected by using a high-density single nucleotidepolymorphism (SNP) markers linkage map with composite interval mapping (CIM), respectively. Three co-localized QTLs on A03 were detected at stage 1 with 5, 5, and 10% of the phenotypic variation, respectively. Other two co-localized QTLs were located on A05 at stage 2, which explained up to 12 and 5% of the phenotypic variation, respectively. The results are beneficial for our understanding of genetic control of photosynthetic physiological characterizations and improvement of rapeseed yield in the future.

Abstract  Rapeseed (Brassica napus L.) oil is the crucial source of edible oil in China. In addition, it can become a major renewable and sustainable feedstock for biodiesel production in the future. It is known that photosynthesis products are the primary sources for dry matter accumulation in rapeseed. Therefore, increasing the photosynthetic efficiency is desirable for the raise of rapeseed yield. The objective of the present study was to identify the genetic mechanism of photosynthesis based on the description of relationships between different photosynthetic traits and their quantitative trait loci (QTL) by using a recombinant inbred line (RIL) population with 172 lines. Specifically, correlation analysis in this study showed that internal CO2 concentration has negative correlations with other three physiological traits under two different stages. Totally, 11 and 12 QTLs of the four physiological traits measured at the stages 1 and 2 were detected by using a high-density single nucleotidepolymorphism (SNP) markers linkage map with composite interval mapping (CIM), respectively. Three co-localized QTLs on A03 were detected at stage 1 with 5, 5, and 10% of the phenotypic variation, respectively. Other two co-localized QTLs were located on A05 at stage 2, which explained up to 12 and 5% of the phenotypic variation, respectively. The results are beneficial for our understanding of genetic control of photosynthetic physiological characterizations and improvement of rapeseed yield in the future.
Keywords:  Brassica napus       photosynthesis       quantitative trait loci (QTL)  
Received: 27 August 2014   Accepted:
Fund: 

This research was supported by the National Natural Science Foundation of China (31171584, 31371655), National Basic Research Program of China (973 Program, 2015CB150201), the Fundamental Research Funds for the Central Universities, China (XDJK2013B015) and the Earmarked Fund for Modern Agro-industry Technology Research System, China (CARS-13).

Corresponding Authors:  LIU Lie-zhao, Tel: +86-23-68251383,E-mail: liezhao2003@126.com   

Cite this article: 

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