Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers
We applied seven pairs of primer-restriction enzyme combinations to investigate the genetic diversity, genetic differentiation, and genetic structure of Prunus padus populations with AFLP markers. The values obtained for average of effective alleles (Ae), percentage of polymorphic loci (%P), Shannon...
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doaj-8fd792b9c6764da2a0d31015b888b5b12021-04-21T16:14:25ZengTaylor & Francis GroupForest Science and Technology2158-01032158-07152020-10-0116417117910.1080/21580103.2020.18074151807415Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markersJi-young Ahn0Jei-Wan Lee1Hyo-In Lim2Kyung-Nak Hong3Department of Forest Bio Resources, National Institute of Forest ScienceDepartment of Forest Bio Resources, National Institute of Forest ScienceDepartment of Forest Bio Resources, National Institute of Forest ScienceDepartment of Forest Bio Resources, National Institute of Forest ScienceWe applied seven pairs of primer-restriction enzyme combinations to investigate the genetic diversity, genetic differentiation, and genetic structure of Prunus padus populations with AFLP markers. The values obtained for average of effective alleles (Ae), percentage of polymorphic loci (%P), Shannon’s diversity index (I), and expected heterozygosity (He) were 1.38, 81.4, 0.357, and 0.223%, respectively. The expected heterozygosity (Hj) obtained by using a Bayesian method was 0.256. The level of genetic diversity obtained for P. padus was low compared to that of Prunus species and other species with a similar life history. The inbreeding coefficient (FIS) from the approximated Bayesian method was 0.767. This value was lower than that obtained for Ulmus davidiana, which undergoes both sexual and asexual reproduction. However, the value obtained was larger than that for other species that undergo sexual reproduction, such as, Carpinus laxiflora, Phellodendron amurense, and Acer pseudosieboldianum. The value of genetic differentiation was 0.245 from AMOVA (ΦST) and 0.278 from Bayesian method (θII). The obtained level of genetic differentiation was large compared to that of other Prunus species plants and other species with a similar life history. According to UPGMA and Bayesian clustering, 11 populations were divided into two genetic groups. However, some populations were detected as weak genetic structures according to the geographical distribution. It was occurred by forest succession, asexual propagation strategies to adapt local environmental change, and gene flow being gradually decreased due to population fragmentation by demographic disturbances.http://dx.doi.org/10.1080/21580103.2020.1807415sexual and asexual reproductiongenetic variationdemographic disturbanceinsect pollinated and seed dispersal by animalsmedicinal plant |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ji-young Ahn Jei-Wan Lee Hyo-In Lim Kyung-Nak Hong |
spellingShingle |
Ji-young Ahn Jei-Wan Lee Hyo-In Lim Kyung-Nak Hong Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers Forest Science and Technology sexual and asexual reproduction genetic variation demographic disturbance insect pollinated and seed dispersal by animals medicinal plant |
author_facet |
Ji-young Ahn Jei-Wan Lee Hyo-In Lim Kyung-Nak Hong |
author_sort |
Ji-young Ahn |
title |
Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers |
title_short |
Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers |
title_full |
Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers |
title_fullStr |
Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers |
title_full_unstemmed |
Genetic diversity and structure of Prunus padus populations in South Korea based on AFLP markers |
title_sort |
genetic diversity and structure of prunus padus populations in south korea based on aflp markers |
publisher |
Taylor & Francis Group |
series |
Forest Science and Technology |
issn |
2158-0103 2158-0715 |
publishDate |
2020-10-01 |
description |
We applied seven pairs of primer-restriction enzyme combinations to investigate the genetic diversity, genetic differentiation, and genetic structure of Prunus padus populations with AFLP markers. The values obtained for average of effective alleles (Ae), percentage of polymorphic loci (%P), Shannon’s diversity index (I), and expected heterozygosity (He) were 1.38, 81.4, 0.357, and 0.223%, respectively. The expected heterozygosity (Hj) obtained by using a Bayesian method was 0.256. The level of genetic diversity obtained for P. padus was low compared to that of Prunus species and other species with a similar life history. The inbreeding coefficient (FIS) from the approximated Bayesian method was 0.767. This value was lower than that obtained for Ulmus davidiana, which undergoes both sexual and asexual reproduction. However, the value obtained was larger than that for other species that undergo sexual reproduction, such as, Carpinus laxiflora, Phellodendron amurense, and Acer pseudosieboldianum. The value of genetic differentiation was 0.245 from AMOVA (ΦST) and 0.278 from Bayesian method (θII). The obtained level of genetic differentiation was large compared to that of other Prunus species plants and other species with a similar life history. According to UPGMA and Bayesian clustering, 11 populations were divided into two genetic groups. However, some populations were detected as weak genetic structures according to the geographical distribution. It was occurred by forest succession, asexual propagation strategies to adapt local environmental change, and gene flow being gradually decreased due to population fragmentation by demographic disturbances. |
topic |
sexual and asexual reproduction genetic variation demographic disturbance insect pollinated and seed dispersal by animals medicinal plant |
url |
http://dx.doi.org/10.1080/21580103.2020.1807415 |
work_keys_str_mv |
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