|Table of Contents|

Preliminary Variability Analysis of Mutant Population for Soybean ‘Tianlong No. 1’ Induced by 60Co-γand EMS(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2019年04期
Page:
517-524
Research Field:
Publishing date:

Info

Title:
Preliminary Variability Analysis of Mutant Population for Soybean ‘Tianlong No. 1’ Induced by 60Co-γand EMS
Author(s):
ZHANG Xin1 SU Tong2 GU Yu-yang2 ZHANG Yi2 YAO Lu-ming2 WANG Biao2 ZHU Jun1 GU Da-guo3
(1.College of Life Sciences, Shanghai Normal University, Shanghai 200234, China; 2.School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; 3.Shanghai Xinhui Vegetable Co. Ltd., Shanghai 201419, China)
Keywords:
60Co-γ EMS Soybean Mutant library SSR markers qPCR
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2019.04.0517
Abstract:
In order to cultivate new soybean varieties adapted to the climate type of the Yangtze River Basin, the seeds of soybean ‘Tianlong No. 1’ were mutagenized by 60Co-γray and EMS respectively to construct a soybean mutant library. The 350 mutant lines with phenotypic variation were planted in the field for two consecutive years, and we identified the molecular characteristics with 60 pairs of SSR markers. And then, we detected the expression of main phenylpropionic acid metabolic pathway in mutant plants with obvious phenotype variation on seed. The results showed that the 145 mutants displayed stable visible variation in plant height, leaf shape, flower color, seed coat color and pod habit, and the 101 lines were found to be with at least one SSR locus difference from the wild type ‘Tianlong No.1’, and M3-SD-1 and M3-SD-2 have more than 10 polymorphic markers. The phenotypic variations were caused by DNA mutations that display multiple site mutations, and the mutation loci were different from each other by SSR markers. Three mutants with seed coat color and umbilical color were detected expression of key genes in the phenylpropionic acid metabolic pathway by qPCR, and those genes were significant different from their original patterns. This research can provide new germplasm resources for the improvement of soybean varieties and contribute to the further study on soybean functional genomics.

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Last Update: 2019-07-25