Cargando…
Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers
BACKGROUND: Black cottonwood (Populus deltoides) is one of the keystone forest tree species, and has become the main breeding parents in poplar hybrid breeding. However, the genetic diversity and population structure of the introduced resources are not fully understood. RESULTS: In the present study...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945526/ https://www.ncbi.nlm.nih.gov/pubmed/31906843 http://dx.doi.org/10.1186/s12863-019-0805-1 |
_version_ | 1783485195065753600 |
---|---|
author | Chen, Cun Chu, Yanguang Ding, Changjun Su, Xiaohua Huang, Qinjun |
author_facet | Chen, Cun Chu, Yanguang Ding, Changjun Su, Xiaohua Huang, Qinjun |
author_sort | Chen, Cun |
collection | PubMed |
description | BACKGROUND: Black cottonwood (Populus deltoides) is one of the keystone forest tree species, and has become the main breeding parents in poplar hybrid breeding. However, the genetic diversity and population structure of the introduced resources are not fully understood. RESULTS: In the present study, five loci containing null alleles were excluded and 15 pairs of SSR (simple sequence repeat) primers were used to analyze the genetic diversity and population structure of 384 individuals from six provenances (Missouri, Iowa, Washington, Louisiana, and Tennessee (USA), and Quebec in Canada) of P. deltoides. Ultimately, 108 alleles (N(a)) were detected; the expected heterozygosity (H(e)) per locus ranged from 0.070 to 0.905, and the average polymorphic information content (PIC) was 0.535. The provenance ‘Was’ had a relatively low genetic diversity, while ‘Que’, ‘Lou’, and ‘Ten’ provenances had high genetic diversity, with Shannon’s information index (I) above 1.0. The mean coefficient of genetic differentiation (F(st)) and gene flow (N(m)) were 0.129 and 1.931, respectively. Analysis of molecular variance (AMOVA) showed that 84.88% of the genetic variation originated from individuals. Based on principal coordinate analysis (PCoA) and STRUCTURE cluster analysis, individuals distributed in the Mississippi River Basin were roughly classified as one group, while those distributed in the St. Lawrence River Basin and Columbia River Basin were classified as another group. The cluster analysis based on the population level showed that provenance ‘Iow’ had a small gene flow and high degree of genetic differentiation compared with the other provenances, and was classified into one group. There was a significant relationship between genetic distance and geographical distance. CONCLUSIONS: P. deltoides resources have high genetic diversity and there is a moderate level of genetic differentiation among provenances. Geographical isolation and natural conditions may be the main factors causing genetic differences among individuals. Individuals reflecting population genetic information can be selected to build a core germplasm bank. Meanwhile, the results could provide theoretical support for the scientific management and efficient utilization of P. deltoides genetic resources, and promote the development of molecular marker-assisted breeding of poplar. |
format | Online Article Text |
id | pubmed-6945526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69455262020-01-07 Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers Chen, Cun Chu, Yanguang Ding, Changjun Su, Xiaohua Huang, Qinjun BMC Genet Research Article BACKGROUND: Black cottonwood (Populus deltoides) is one of the keystone forest tree species, and has become the main breeding parents in poplar hybrid breeding. However, the genetic diversity and population structure of the introduced resources are not fully understood. RESULTS: In the present study, five loci containing null alleles were excluded and 15 pairs of SSR (simple sequence repeat) primers were used to analyze the genetic diversity and population structure of 384 individuals from six provenances (Missouri, Iowa, Washington, Louisiana, and Tennessee (USA), and Quebec in Canada) of P. deltoides. Ultimately, 108 alleles (N(a)) were detected; the expected heterozygosity (H(e)) per locus ranged from 0.070 to 0.905, and the average polymorphic information content (PIC) was 0.535. The provenance ‘Was’ had a relatively low genetic diversity, while ‘Que’, ‘Lou’, and ‘Ten’ provenances had high genetic diversity, with Shannon’s information index (I) above 1.0. The mean coefficient of genetic differentiation (F(st)) and gene flow (N(m)) were 0.129 and 1.931, respectively. Analysis of molecular variance (AMOVA) showed that 84.88% of the genetic variation originated from individuals. Based on principal coordinate analysis (PCoA) and STRUCTURE cluster analysis, individuals distributed in the Mississippi River Basin were roughly classified as one group, while those distributed in the St. Lawrence River Basin and Columbia River Basin were classified as another group. The cluster analysis based on the population level showed that provenance ‘Iow’ had a small gene flow and high degree of genetic differentiation compared with the other provenances, and was classified into one group. There was a significant relationship between genetic distance and geographical distance. CONCLUSIONS: P. deltoides resources have high genetic diversity and there is a moderate level of genetic differentiation among provenances. Geographical isolation and natural conditions may be the main factors causing genetic differences among individuals. Individuals reflecting population genetic information can be selected to build a core germplasm bank. Meanwhile, the results could provide theoretical support for the scientific management and efficient utilization of P. deltoides genetic resources, and promote the development of molecular marker-assisted breeding of poplar. BioMed Central 2020-01-06 /pmc/articles/PMC6945526/ /pubmed/31906843 http://dx.doi.org/10.1186/s12863-019-0805-1 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Chen, Cun Chu, Yanguang Ding, Changjun Su, Xiaohua Huang, Qinjun Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title | Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title_full | Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title_fullStr | Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title_full_unstemmed | Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title_short | Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers |
title_sort | genetic diversity and population structure of black cottonwood (populus deltoides) revealed using simple sequence repeat markers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945526/ https://www.ncbi.nlm.nih.gov/pubmed/31906843 http://dx.doi.org/10.1186/s12863-019-0805-1 |
work_keys_str_mv | AT chencun geneticdiversityandpopulationstructureofblackcottonwoodpopulusdeltoidesrevealedusingsimplesequencerepeatmarkers AT chuyanguang geneticdiversityandpopulationstructureofblackcottonwoodpopulusdeltoidesrevealedusingsimplesequencerepeatmarkers AT dingchangjun geneticdiversityandpopulationstructureofblackcottonwoodpopulusdeltoidesrevealedusingsimplesequencerepeatmarkers AT suxiaohua geneticdiversityandpopulationstructureofblackcottonwoodpopulusdeltoidesrevealedusingsimplesequencerepeatmarkers AT huangqinjun geneticdiversityandpopulationstructureofblackcottonwoodpopulusdeltoidesrevealedusingsimplesequencerepeatmarkers |