Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.

Oryza sativa ssp. javanica rice varieties exhibit a wide variation in the phenotypes of several important agronomic traits, including grain quality, grain shape, plant architecture, disease resistance, and high adaption to an unfavorable environment, indicating a great potential for rice improvement...

Full description

Bibliographic Details
Main Authors: Weixiong Long, Yonghui Li, Zhengqing Yuan, Lihua Luo, Laiyang Luo, Weibiao Xu, Yaohui Cai, Hongwei Xie
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0274418
_version_ 1811181912543199232
author Weixiong Long
Yonghui Li
Zhengqing Yuan
Lihua Luo
Laiyang Luo
Weibiao Xu
Yaohui Cai
Hongwei Xie
author_facet Weixiong Long
Yonghui Li
Zhengqing Yuan
Lihua Luo
Laiyang Luo
Weibiao Xu
Yaohui Cai
Hongwei Xie
author_sort Weixiong Long
collection DOAJ
description Oryza sativa ssp. javanica rice varieties exhibit a wide variation in the phenotypes of several important agronomic traits, including grain quality, grain shape, plant architecture, disease resistance, and high adaption to an unfavorable environment, indicating a great potential for rice improvement. DNA molecular markers are basic and critical tools in genetic analysis and gene mining. However, only a few whole-genome variation analyses have been performed in Oryza sativa ssp. Javanica (tropical japonica rice), and this has hampered the utilization of such an important resource. In this study, the length of insertions/deletions variation greater larger than 10 bp from 10 Oryza sativa ssp. indica rice and 10 Oryza sativa ssp. tropical japonica rice were extracted by using the Nipponbare genome as a reference. A total of 118 primer pairs which were almost evenly distributed on each chromosome corresponding to the loci of InDels were designed by the Primer 5 program. We confirmed 85 InDel markers from 60 rice varieties, including indica and tropical japonica, by running polyacrylamide gels. The InDel markers function like SSRs in identifying hybrids, calculating genetic distance, constructing the genetic linkage map, and gene mining. The InDel markers developed in this study might help in genetic studies and to investigate the tropical japonica rice varieties.
first_indexed 2024-04-11T09:24:55Z
format Article
id doaj.art-a8d782561c0d49078c7f72a536c7537b
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-11T09:24:55Z
publishDate 2022-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-a8d782561c0d49078c7f72a536c7537b2022-12-22T04:32:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011710e027441810.1371/journal.pone.0274418Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.Weixiong LongYonghui LiZhengqing YuanLihua LuoLaiyang LuoWeibiao XuYaohui CaiHongwei XieOryza sativa ssp. javanica rice varieties exhibit a wide variation in the phenotypes of several important agronomic traits, including grain quality, grain shape, plant architecture, disease resistance, and high adaption to an unfavorable environment, indicating a great potential for rice improvement. DNA molecular markers are basic and critical tools in genetic analysis and gene mining. However, only a few whole-genome variation analyses have been performed in Oryza sativa ssp. Javanica (tropical japonica rice), and this has hampered the utilization of such an important resource. In this study, the length of insertions/deletions variation greater larger than 10 bp from 10 Oryza sativa ssp. indica rice and 10 Oryza sativa ssp. tropical japonica rice were extracted by using the Nipponbare genome as a reference. A total of 118 primer pairs which were almost evenly distributed on each chromosome corresponding to the loci of InDels were designed by the Primer 5 program. We confirmed 85 InDel markers from 60 rice varieties, including indica and tropical japonica, by running polyacrylamide gels. The InDel markers function like SSRs in identifying hybrids, calculating genetic distance, constructing the genetic linkage map, and gene mining. The InDel markers developed in this study might help in genetic studies and to investigate the tropical japonica rice varieties.https://doi.org/10.1371/journal.pone.0274418
spellingShingle Weixiong Long
Yonghui Li
Zhengqing Yuan
Lihua Luo
Laiyang Luo
Weibiao Xu
Yaohui Cai
Hongwei Xie
Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
PLoS ONE
title Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
title_full Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
title_fullStr Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
title_full_unstemmed Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
title_short Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing.
title_sort development of indel markers for oryza sativa ssp javanica based on whole genome resequencing
url https://doi.org/10.1371/journal.pone.0274418
work_keys_str_mv AT weixionglong developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT yonghuili developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT zhengqingyuan developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT lihualuo developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT laiyangluo developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT weibiaoxu developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT yaohuicai developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing
AT hongweixie developmentofindelmarkersfororyzasativasspjavanicabasedonwholegenomeresequencing