Cargando…

EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China

Goosegrass (Eleusine indica) is one of the worst agricultural weeds in China. Molecular markers were developed for genetic diversity and population structure analyses. In this study, we identified 8391 expressed sequence tag-simple sequence repeat (EST-SSR) markers from the de novo assembled unigene...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Jingchao, Cui, Hailan, Huang, Hongjuan, Wei, Shouhui, Liu, Yan, Yu, Haiyan, Ma, Yan, Li, Xiangju, Ma, Xiaoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856800/
https://www.ncbi.nlm.nih.gov/pubmed/36661497
http://dx.doi.org/10.3390/cimb45010011
_version_ 1784873720078139392
author Chen, Jingchao
Cui, Hailan
Huang, Hongjuan
Wei, Shouhui
Liu, Yan
Yu, Haiyan
Ma, Yan
Li, Xiangju
Ma, Xiaoyan
author_facet Chen, Jingchao
Cui, Hailan
Huang, Hongjuan
Wei, Shouhui
Liu, Yan
Yu, Haiyan
Ma, Yan
Li, Xiangju
Ma, Xiaoyan
author_sort Chen, Jingchao
collection PubMed
description Goosegrass (Eleusine indica) is one of the worst agricultural weeds in China. Molecular markers were developed for genetic diversity and population structure analyses. In this study, we identified 8391 expressed sequence tag-simple sequence repeat (EST-SSR) markers from the de novo assembled unigenes of E. indica. Mononucleotides were the most abundant type of repeats (3591, 42.79%), followed by trinucleotides (3162, 37.68%). The most dominant mononucleotide and trinucleotide repeat motifs were A/T (3406, 40.59%) and AAT/ATT (103, 1.5%), respectively. Fourteen pairs of EST-SSR primers were verified and used to analyze the genetic diversity and population structure of 59 goosegrass populations. A total of 49 alleles were amplified, with the number of alleles (N(a)) ranging from two to eleven per locus, and the effective number of alleles (N(e)) ranged from 1.07 to 4.53. The average polymorphic information content (PIC) was 0.36. Genetic structure analysis (K = 2) and principal coordinate analysis divided 59 E. indica populations into two groups in a manner similar to the unweighted pair-group method (Dice genetic similarity coefficient = 0.700). This study developed a set of EST-SSR markers in E. indica and successfully analyzed the diversity and population genetic structures of 59 E. indica populations in China.
format Online
Article
Text
id pubmed-9856800
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98568002023-01-21 EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China Chen, Jingchao Cui, Hailan Huang, Hongjuan Wei, Shouhui Liu, Yan Yu, Haiyan Ma, Yan Li, Xiangju Ma, Xiaoyan Curr Issues Mol Biol Article Goosegrass (Eleusine indica) is one of the worst agricultural weeds in China. Molecular markers were developed for genetic diversity and population structure analyses. In this study, we identified 8391 expressed sequence tag-simple sequence repeat (EST-SSR) markers from the de novo assembled unigenes of E. indica. Mononucleotides were the most abundant type of repeats (3591, 42.79%), followed by trinucleotides (3162, 37.68%). The most dominant mononucleotide and trinucleotide repeat motifs were A/T (3406, 40.59%) and AAT/ATT (103, 1.5%), respectively. Fourteen pairs of EST-SSR primers were verified and used to analyze the genetic diversity and population structure of 59 goosegrass populations. A total of 49 alleles were amplified, with the number of alleles (N(a)) ranging from two to eleven per locus, and the effective number of alleles (N(e)) ranged from 1.07 to 4.53. The average polymorphic information content (PIC) was 0.36. Genetic structure analysis (K = 2) and principal coordinate analysis divided 59 E. indica populations into two groups in a manner similar to the unweighted pair-group method (Dice genetic similarity coefficient = 0.700). This study developed a set of EST-SSR markers in E. indica and successfully analyzed the diversity and population genetic structures of 59 E. indica populations in China. MDPI 2022-12-26 /pmc/articles/PMC9856800/ /pubmed/36661497 http://dx.doi.org/10.3390/cimb45010011 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Jingchao
Cui, Hailan
Huang, Hongjuan
Wei, Shouhui
Liu, Yan
Yu, Haiyan
Ma, Yan
Li, Xiangju
Ma, Xiaoyan
EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title_full EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title_fullStr EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title_full_unstemmed EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title_short EST-SSR Markers’ Development Based on RNA-Sequencing and Their Application in Population Genetic Structure and Diversity Analysis of Eleusine indica in China
title_sort est-ssr markers’ development based on rna-sequencing and their application in population genetic structure and diversity analysis of eleusine indica in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856800/
https://www.ncbi.nlm.nih.gov/pubmed/36661497
http://dx.doi.org/10.3390/cimb45010011
work_keys_str_mv AT chenjingchao estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT cuihailan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT huanghongjuan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT weishouhui estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT liuyan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT yuhaiyan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT mayan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT lixiangju estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina
AT maxiaoyan estssrmarkersdevelopmentbasedonrnasequencingandtheirapplicationinpopulationgeneticstructureanddiversityanalysisofeleusineindicainchina