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De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L
BACKGROUND: Apocynum venetum L. is an important medicinal plant that is mainly distributed in the coastal areas and northwest of China. In addition to its high medical and economic value, its adaptation to saline-alkali and coastal saline lands makes A. venetum an ideal candidate for use in vegetati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470449/ https://www.ncbi.nlm.nih.gov/pubmed/32883231 http://dx.doi.org/10.1186/s12870-020-02626-7 |
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author | Yuan, Na Li, Mimi Jia, Chunlin |
author_facet | Yuan, Na Li, Mimi Jia, Chunlin |
author_sort | Yuan, Na |
collection | PubMed |
description | BACKGROUND: Apocynum venetum L. is an important medicinal plant that is mainly distributed in the coastal areas and northwest of China. In addition to its high medical and economic value, its adaptation to saline-alkali and coastal saline lands makes A. venetum an ideal candidate for use in vegetation restoration. To date, the study of A. venetum has been limited in the northwest region of China, little attention has been paid to the genetic diversity and population structure of A. venetum populations in the coastal region. Here, we performed transcriptome sequencing of total RNA from A. venetum leaves and developed efficient expressed sequence tag-simple sequence repeat (EST-SSR) markers for analyzing the genetic diversity and population structure of A. venetum in the coastal region. RESULTS: A total of 86,890 unigenes were generated after de novo assembly, and 68,751 of which were successfully annotated by searching against seven protein databases. Furthermore, 14,072 EST-SSR loci were detected and 10,243 primer pairs were successfully designed from these loci. One hundred primer pairs were randomly selected and synthesized, twelve primer pairs were identified as highly polymorphic and further used for population genetic analysis. Population genetic analyses showed that A. venetum exhibited low level of genetic diversity (mean alleles per locus, N(A) = 3.3; mean expected heterozygosity, H(E) = 0.342) and moderate level of genetic differentiation among the populations (genetic differentiation index, F(ST) = 0.032–0.220) in the coastal region. Although the contemporary (mean m(c) = 0.056) and historical (mean m(h) = 0.106) migration rates among the six A. venetum populations were moderate, a decreasing trend over the last few generations was detected. Bayesian structure analysis clustered six populations into two major groups, and genetic bottlenecks were found to have occurred in two populations (QG, BH). CONCLUSIONS: Using novel EST-SSR markers, we evaluated the genetic variation of A. venetum in the coastal region and determined conservation priorities based on these findings. The large dataset of unigenes and SSRs identified in our study, combining samples from a broader range, will support further research on the conservation and evolution of this important coastal plant and its related species. |
format | Online Article Text |
id | pubmed-7470449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74704492020-09-08 De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L Yuan, Na Li, Mimi Jia, Chunlin BMC Plant Biol Research Article BACKGROUND: Apocynum venetum L. is an important medicinal plant that is mainly distributed in the coastal areas and northwest of China. In addition to its high medical and economic value, its adaptation to saline-alkali and coastal saline lands makes A. venetum an ideal candidate for use in vegetation restoration. To date, the study of A. venetum has been limited in the northwest region of China, little attention has been paid to the genetic diversity and population structure of A. venetum populations in the coastal region. Here, we performed transcriptome sequencing of total RNA from A. venetum leaves and developed efficient expressed sequence tag-simple sequence repeat (EST-SSR) markers for analyzing the genetic diversity and population structure of A. venetum in the coastal region. RESULTS: A total of 86,890 unigenes were generated after de novo assembly, and 68,751 of which were successfully annotated by searching against seven protein databases. Furthermore, 14,072 EST-SSR loci were detected and 10,243 primer pairs were successfully designed from these loci. One hundred primer pairs were randomly selected and synthesized, twelve primer pairs were identified as highly polymorphic and further used for population genetic analysis. Population genetic analyses showed that A. venetum exhibited low level of genetic diversity (mean alleles per locus, N(A) = 3.3; mean expected heterozygosity, H(E) = 0.342) and moderate level of genetic differentiation among the populations (genetic differentiation index, F(ST) = 0.032–0.220) in the coastal region. Although the contemporary (mean m(c) = 0.056) and historical (mean m(h) = 0.106) migration rates among the six A. venetum populations were moderate, a decreasing trend over the last few generations was detected. Bayesian structure analysis clustered six populations into two major groups, and genetic bottlenecks were found to have occurred in two populations (QG, BH). CONCLUSIONS: Using novel EST-SSR markers, we evaluated the genetic variation of A. venetum in the coastal region and determined conservation priorities based on these findings. The large dataset of unigenes and SSRs identified in our study, combining samples from a broader range, will support further research on the conservation and evolution of this important coastal plant and its related species. BioMed Central 2020-09-03 /pmc/articles/PMC7470449/ /pubmed/32883231 http://dx.doi.org/10.1186/s12870-020-02626-7 Text en © The Author(s) 2020 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 Yuan, Na Li, Mimi Jia, Chunlin De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title | De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title_full | De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title_fullStr | De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title_full_unstemmed | De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title_short | De novo transcriptome assembly and population genetic analyses of an important coastal shrub, Apocynum venetum L |
title_sort | de novo transcriptome assembly and population genetic analyses of an important coastal shrub, apocynum venetum l |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470449/ https://www.ncbi.nlm.nih.gov/pubmed/32883231 http://dx.doi.org/10.1186/s12870-020-02626-7 |
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