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通过测序进行基因定位能更精确地检测出水稻中负责耐厌氧萌发的基因座。

Genetic Mapping by Sequencing More Precisely Detects Loci Responsible for Anaerobic Germination Tolerance in Rice.

作者信息

Ignacio John Carlos I, Zaidem Maricris, Casal Carlos, Dixit Shalabh, Kretzschmar Tobias, Samaniego Jaime M, Mendioro Merlyn S, Weigel Detlef, Septiningsih Endang M

机构信息

International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.

University of the Philippines, Los Baños, Laguna 4031, Philippines.

出版信息

Plants (Basel). 2021 Apr 6;10(4):705. doi: 10.3390/plants10040705.

DOI:10.3390/plants10040705
PMID:33917499
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8067528/
Abstract

Direct seeded rice (DSR) is a mainstay for planting rice in the Americas, and it is rapidly becoming more popular in Asia. It is essential to develop rice varieties that are suitable for this type of production system. ASD1, a landrace from India, possesses several traits desirable for direct-seeded fields, including tolerance to anaerobic germination (AG). To map the genetic basis of its tolerance, we examined a population of 200 F families derived from a cross between IR64 and ASD1 using the restriction site-associated DNA sequencing (RAD-seq) technology. This genotyping platform enabled the identification of 1921 single nucleotide polymorphism (SNP) markers to construct a high-resolution genetic linkage map with an average interval of 0.9 cM. Two significant quantitative trait loci (QTLs) were detected on chromosomes 7 and 9, and , with LOD scores of 7.1 and 15.0 and R values of 15.1 and 29.4, respectively. Here, we obtained more precise locations of the QTLs than traditional simple sequence repeat and low-density SNP genotyping methods and may help further dissect the genetic factors of these QTLs.

摘要

直播水稻是美洲种植水稻的主要方式,并且在亚洲正迅速变得越来越流行。培育适合这种生产系统的水稻品种至关重要。ASD1是一种来自印度的地方品种,具有直播田所需的几个性状,包括耐厌氧萌发(AG)。为了绘制其耐受性的遗传基础图谱,我们使用限制性位点关联DNA测序(RAD-seq)技术检测了一个由IR64和ASD1杂交产生的包含200个F家系的群体。这个基因分型平台能够鉴定出1921个单核苷酸多态性(SNP)标记,以构建平均间隔为0.9 cM的高分辨率遗传连锁图谱。在第7和第9号染色体上检测到两个显著的数量性状基因座(QTL),其LOD值分别为7.1和15.0,R值分别为15.1和29.4。在这里,我们获得了比传统简单序列重复和低密度SNP基因分型方法更精确的QTL定位,这可能有助于进一步剖析这些QTL的遗传因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29d/8067528/e7f1d0076654/plants-10-00705-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29d/8067528/6646c4b577f7/plants-10-00705-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29d/8067528/e7f1d0076654/plants-10-00705-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29d/8067528/6646c4b577f7/plants-10-00705-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a29d/8067528/e7f1d0076654/plants-10-00705-g002.jpg

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