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1. 基于染色体代换系对大豆结瘤调控基因的特征分析
ZOU Jia-nan, ZHANG Zhan-guo, KANG Qing-lin, YU Si-yang, WANG Jie-qi, CHEN Lin, LIU Yan-ru, MA Chao, ZHU Rong-sheng, ZHU Yong-xu, DONG Xiao-hui, JIANG Hong-wei, WU Xiao-xia, WANG Nan-nan, HU Zhen-bang, QI Zhao-ming, LIU Chun-yan, CHEN Qing-shan, XIN Da-wei, WANG Jin-hui
Journal of Integrative Agriculture    2022, 21 (8): 2197-2210.   DOI: 10.1016/S2095-3119(21)63658-4
摘要197)      PDF    收藏
小麦抗旱相关基因TaPYL4的功能分析及标记开发
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2. JIA-2020-2154 大豆种子可溶性糖相关候选基因的多重遗传分析
PAN Wen-jing, HAN Xue, HUANG Shi-yu, YU Jing-yao, ZHAO Ying, QU Ke-xin, ZHANG Ze-xin, YIN Zhen-gong, QI Hui-dong, YU Guo-long, ZHANG Yong, XIN Da-wei, ZHU Rong-sheng, LIU Chun-yan, WU Xiao-xia, JIANG Hong-wei, HU Zhen-bang, ZUO Yu-hu, CHEN Qing-shan, QI Zhao-ming
Journal of Integrative Agriculture    2022, 21 (7): 1886-1902.   DOI: 10.1016/S2095-3119(21)63653-5
摘要268)      PDF    收藏

本研究从历史数据以及公开文章中收集了57个与大豆种子可溶性糖含量相关的数量性状位点(QTLs)。通过meta、overview和共线性分析来细化QTL区间,共得到8个共有QTL。使用染色体片段代换系(CSSLs)群体对这些共有QTL进行验证,选择了两个包含共有QTL和有导入片段的品系:其中一个与共有QTL区间相关的一个品系可溶性糖含量较高,另一个品系可溶性糖含量较低。在种子发育的早期、中期和晚期对这两个品系进行转录组测序,分别鉴定出158个、109个和329个差异表达基因。通过重测序数据和共有QTL区间分析,在野生大豆遗传导入片段中鉴定出3个候选基因Glyma.19G146800Glyma.19G122500Glyma.19G128500。通过对两个CSSL亲本SN14和ZYD00006的序列比对,发现Glyma.19G122500编码序列发生单核苷酸多态性(SNP)突变,导致氨基酸序列发生非同义突变,影响了蛋白质结构。基于这一SNP,我们开发了竞争性等位基因特异性PCR (KASP)标记,并将其用于CSSL品系的鉴定。这些结果为进一步鉴定大豆可溶性糖相关基因及进一步育种奠定了基础


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3. Identification of novel soybean oil content-related genes using QTLbased collinearity analysis from the collective soybean genome
XU Ming-yue, LIU Zhang-xiong, QIN Hong-tao, QI Hui-dong, WANG Zhong-yu, MAO Xin-rui, XIN Dawei, HU Zhen-bang, WU Xiao-xia, JIANG Hong-wei, QI Zhao-ming, CHEN Qing-shan
Journal of Integrative Agriculture    2018, 17 (08): 1727-1735.   DOI: 10.1016/S2095-3119(17)61862-8
摘要413)      PDF    收藏


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4. GmDRR1, a dirigent protein resistant to Phytophthora sojae in Glycine max (L.) Merr.
CHEN Qing-shan, YU Guo-long, ZOU Jia-nan, WANG Jing, QIU Hong-mei, ZHU Rong-sheng, CHANG Hui-lin, JIANG Hong-wei, HU Zhen-bang, LI Chang-yu, ZHANG Yan-jiao, WANG Jin-hui, WANG Xueding, GAO Shan...
Journal of Integrative Agriculture    2018, 17 (06): 1289-1298.   DOI: 10.1016/S2095-3119(17)61821-5
摘要553)      PDF    收藏
Received  26 June, 2017    Accepted  17 October, 2017
© 2018 CAAS. Publishing services by Elsevier B.V.  All rights reserved.
doi:
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5. An Integrated Quantitative Trait Locus Map of Oil Content in Soybean, Glycine max (L.) Merr., Generated Using a Meta-Analysis Method for Mining Genes 
QI Zhao-ming, HAN Xue, SUN Ya-nan, WU Qiong, SHAN Da-peng, DU Xiang-yu, LIU Chun-yan, JIANG Hong-wei, HU Guo-hua , CHEN Qing-shan
Journal of Integrative Agriculture    2011, 10 (11): 1681-1692.   DOI: 10.1016/S1671-2927(11)60166-1
摘要2365)      PDF    收藏
Soybean is a major cash crop in the world, and its oil content was one of the very important traits. Therefore, the study of gene mapping for oil content in soybean is very important for breeding application. At present, at least 130 QTL loci for soybean oil content have been published; however, the mapping results of oil content were dispersed and a coalescent public map should be established to integrate the published QTLs, and to more efficiently mine genes based on the metaanalysis method of the bioinformatics tools. This study was to construct an integrated map of QTLs for soybean oil content and accelerate the application of bioinformation resource related to oil content improvement in the practice of soybean breeding. We collected information of 130 QTLs reported over the past 20 yr for soybean oil content and used the Software BioMercator 2.1 to project QTLs from their own maps onto a reference map, which was an early-integrated map constructed by Song (2004) for oil-content quantitative trait loci (QTLs) in soybean. Gene mining was performed based on the meta-analysis by running the local ver. GENSCAN and InterProScan. The confidence interval of QTLs was efficaciously narrowed using the meta-analysis method, and 25 consensus QTLs were mapped on the reference map. Using a local version of GENSCAN, 12 805 sequences in the consensus QTL intervals were predicted. With BLAST, these predicted sequences were aligned to gene sequences from the International Protein Index database using InterProScan locally. Thirteen predicted genes were in the class of the geme ontology (GO) accession (0006631), which were involved in the fatty acid metabolic process. These genes were analyzed using BLAST at the NCBI website to examine whether they were related to oil content. Six genes were found in the oil-synthesis pathway. Twenty-five consensus QTLs and six genes were found in the oil-synthesis pathway. These results would lay the foundation for marker-assisted selection and mapping QTL precisely, and these genes will facilitate the researches on the gene mining of oil synthesis and molecular breeding in soybean.
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