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The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species
BACKGROUND: Carex L. is one of the largest genera in the Cyperaceae family and an important vascular plant in the ecosystem. However, the genetic background of Carex is complex and the classification is not clear. In order to investigate the gene function annotation of Carex, RNA-sequencing analysis...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789143/ https://www.ncbi.nlm.nih.gov/pubmed/33407132 http://dx.doi.org/10.1186/s12870-020-02792-8 |
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author | Liu, Lingyun Fan, Xifeng Tan, Penghui Wu, Juying Zhang, Hui Han, Chao Chen, Chao Xun, Lulu Guo, Weier Chang, Zhihui Teng, Ke |
author_facet | Liu, Lingyun Fan, Xifeng Tan, Penghui Wu, Juying Zhang, Hui Han, Chao Chen, Chao Xun, Lulu Guo, Weier Chang, Zhihui Teng, Ke |
author_sort | Liu, Lingyun |
collection | PubMed |
description | BACKGROUND: Carex L. is one of the largest genera in the Cyperaceae family and an important vascular plant in the ecosystem. However, the genetic background of Carex is complex and the classification is not clear. In order to investigate the gene function annotation of Carex, RNA-sequencing analysis was performed. Simple sequence repeats (SSRs) were generated based on the Illumina data and then were utilized to investigate the genetic characteristics of the 79 Carex germplasms. RESULTS: In this study, 36,403 unigenes with a total length of 41,724,615 bp were obtained and annotated based on GO, KOG, KEGG, NR databases. The results provide a theoretical basis for gene function exploration. Out of 8776 SSRs, 96 pairs of primers were randomly selected. One hundred eighty polymorphic bands were amplified with a polymorphism rate of 100% based on 42 pairs of primers with higher polymorphism levels. The average band number was 4.3 per primer, the average distance value was 0.548, and the polymorphic information content was ranged from 0.133 to 0.494. The number of observed alleles (Na), effective alleles (Ne), Nei’s (1973) gene diversity (H), and the Shannon information index (I) were 2.000, 1.376, 0.243, and 0.391, respectively. NJ clustering divided into three groups and the accessions from New Zealand showed a similar genetic attribute and clustered into one group. UPGMA and PCoA analysis also revealed the same result. The analysis of molecular variance (AMOVA) revealed a superior genetic diversity within accessions than between accessions based on geographic origin cluster and NJ cluster. What’s more, the fingerprints of 79 Carex species are established in this study. Different combinations of primer pairs can be used to identify multiple Carex at one time, which overcomes the difficulties of traditional identification methods. CONCLUSIONS: The transcriptomic analysis shed new light on the function categories from the annotated genes and will facilitate future gene functional studies. The genetic characteristics analysis indicated that gene flow was extensive among 79 Carex species. These markers can be used to investigate the evolutionary history of Carex and related species, as well as to serve as a guide in future breeding projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-020-02792-8. |
format | Online Article Text |
id | pubmed-7789143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77891432021-01-07 The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species Liu, Lingyun Fan, Xifeng Tan, Penghui Wu, Juying Zhang, Hui Han, Chao Chen, Chao Xun, Lulu Guo, Weier Chang, Zhihui Teng, Ke BMC Plant Biol Research Article BACKGROUND: Carex L. is one of the largest genera in the Cyperaceae family and an important vascular plant in the ecosystem. However, the genetic background of Carex is complex and the classification is not clear. In order to investigate the gene function annotation of Carex, RNA-sequencing analysis was performed. Simple sequence repeats (SSRs) were generated based on the Illumina data and then were utilized to investigate the genetic characteristics of the 79 Carex germplasms. RESULTS: In this study, 36,403 unigenes with a total length of 41,724,615 bp were obtained and annotated based on GO, KOG, KEGG, NR databases. The results provide a theoretical basis for gene function exploration. Out of 8776 SSRs, 96 pairs of primers were randomly selected. One hundred eighty polymorphic bands were amplified with a polymorphism rate of 100% based on 42 pairs of primers with higher polymorphism levels. The average band number was 4.3 per primer, the average distance value was 0.548, and the polymorphic information content was ranged from 0.133 to 0.494. The number of observed alleles (Na), effective alleles (Ne), Nei’s (1973) gene diversity (H), and the Shannon information index (I) were 2.000, 1.376, 0.243, and 0.391, respectively. NJ clustering divided into three groups and the accessions from New Zealand showed a similar genetic attribute and clustered into one group. UPGMA and PCoA analysis also revealed the same result. The analysis of molecular variance (AMOVA) revealed a superior genetic diversity within accessions than between accessions based on geographic origin cluster and NJ cluster. What’s more, the fingerprints of 79 Carex species are established in this study. Different combinations of primer pairs can be used to identify multiple Carex at one time, which overcomes the difficulties of traditional identification methods. CONCLUSIONS: The transcriptomic analysis shed new light on the function categories from the annotated genes and will facilitate future gene functional studies. The genetic characteristics analysis indicated that gene flow was extensive among 79 Carex species. These markers can be used to investigate the evolutionary history of Carex and related species, as well as to serve as a guide in future breeding projects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-020-02792-8. BioMed Central 2021-01-06 /pmc/articles/PMC7789143/ /pubmed/33407132 http://dx.doi.org/10.1186/s12870-020-02792-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Lingyun Fan, Xifeng Tan, Penghui Wu, Juying Zhang, Hui Han, Chao Chen, Chao Xun, Lulu Guo, Weier Chang, Zhihui Teng, Ke The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title | The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title_full | The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title_fullStr | The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title_full_unstemmed | The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title_short | The development of SSR markers based on RNA-sequencing and its validation between and within Carex L. species |
title_sort | development of ssr markers based on rna-sequencing and its validation between and within carex l. species |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789143/ https://www.ncbi.nlm.nih.gov/pubmed/33407132 http://dx.doi.org/10.1186/s12870-020-02792-8 |
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