Cargando…
Conserving the genetic diversity of condemned populations: Optimizing collections and translocation
We consider approaches for conserving genetic diversity from plant populations whose destruction is imminent. We do this using SNP genotype data from two endangered species, Pimelea spicata and Eucalyptus sp. Cattai. For both species, we genotyped plants from a ‘condemned’ population and designed ex...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127699/ https://www.ncbi.nlm.nih.gov/pubmed/34025763 http://dx.doi.org/10.1111/eva.13192 |
_version_ | 1783693994595713024 |
---|---|
author | Bragg, Jason G. Yap, Jia‐Yee S. Wilson, Trevor Lee, Enhua Rossetto, Maurizio |
author_facet | Bragg, Jason G. Yap, Jia‐Yee S. Wilson, Trevor Lee, Enhua Rossetto, Maurizio |
author_sort | Bragg, Jason G. |
collection | PubMed |
description | We consider approaches for conserving genetic diversity from plant populations whose destruction is imminent. We do this using SNP genotype data from two endangered species, Pimelea spicata and Eucalyptus sp. Cattai. For both species, we genotyped plants from a ‘condemned’ population and designed ex situ collections, characterizing how the size and composition of the collection affected the genetic diversity preserved. Consistent with previous observations, populations where genetic diversity was optimized captured more alleles than populations of equal size chosen at random. This benefit of optimization was larger when the propagation population was small. That is, small numbers of individuals (e.g. 20) needed to be selected carefully to capture a comparable proportion of alleles to optimized populations, but larger random populations (e.g. >48) captured almost as many alleles as optimized populations. We then examined strategies for generating translocation populations based on the horticultural constraints presented by each species. In P. spicata, which is readily grown from cuttings, we designed translocation populations of different sizes, using different numbers of ramets from each member of propagation populations. We then performed simulations to predict the loss of alleles from these populations over 10 generations. Large translocation populations were predicted to maintain a greater proportion of source population alleles than smaller translocation populations, but this effect was saturated beyond 200 individuals. In E. sp. Cattai, we examined strategies to promote the diversity of progeny from a conservation planting scenario with 36 individuals. This included the optimization of the spatial arrangement of the planting and supplementing the diversity of the condemned population with individuals from additional sites. In sum, we studied approaches for designing genetically diverse translocations of condemned populations for two species that require contrasting methods of propagation, illustrating the application of approaches that were useful in different circumstances. |
format | Online Article Text |
id | pubmed-8127699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81276992021-05-21 Conserving the genetic diversity of condemned populations: Optimizing collections and translocation Bragg, Jason G. Yap, Jia‐Yee S. Wilson, Trevor Lee, Enhua Rossetto, Maurizio Evol Appl Original Articles We consider approaches for conserving genetic diversity from plant populations whose destruction is imminent. We do this using SNP genotype data from two endangered species, Pimelea spicata and Eucalyptus sp. Cattai. For both species, we genotyped plants from a ‘condemned’ population and designed ex situ collections, characterizing how the size and composition of the collection affected the genetic diversity preserved. Consistent with previous observations, populations where genetic diversity was optimized captured more alleles than populations of equal size chosen at random. This benefit of optimization was larger when the propagation population was small. That is, small numbers of individuals (e.g. 20) needed to be selected carefully to capture a comparable proportion of alleles to optimized populations, but larger random populations (e.g. >48) captured almost as many alleles as optimized populations. We then examined strategies for generating translocation populations based on the horticultural constraints presented by each species. In P. spicata, which is readily grown from cuttings, we designed translocation populations of different sizes, using different numbers of ramets from each member of propagation populations. We then performed simulations to predict the loss of alleles from these populations over 10 generations. Large translocation populations were predicted to maintain a greater proportion of source population alleles than smaller translocation populations, but this effect was saturated beyond 200 individuals. In E. sp. Cattai, we examined strategies to promote the diversity of progeny from a conservation planting scenario with 36 individuals. This included the optimization of the spatial arrangement of the planting and supplementing the diversity of the condemned population with individuals from additional sites. In sum, we studied approaches for designing genetically diverse translocations of condemned populations for two species that require contrasting methods of propagation, illustrating the application of approaches that were useful in different circumstances. John Wiley and Sons Inc. 2021-02-01 /pmc/articles/PMC8127699/ /pubmed/34025763 http://dx.doi.org/10.1111/eva.13192 Text en © 2021 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Bragg, Jason G. Yap, Jia‐Yee S. Wilson, Trevor Lee, Enhua Rossetto, Maurizio Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title | Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title_full | Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title_fullStr | Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title_full_unstemmed | Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title_short | Conserving the genetic diversity of condemned populations: Optimizing collections and translocation |
title_sort | conserving the genetic diversity of condemned populations: optimizing collections and translocation |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127699/ https://www.ncbi.nlm.nih.gov/pubmed/34025763 http://dx.doi.org/10.1111/eva.13192 |
work_keys_str_mv | AT braggjasong conservingthegeneticdiversityofcondemnedpopulationsoptimizingcollectionsandtranslocation AT yapjiayees conservingthegeneticdiversityofcondemnedpopulationsoptimizingcollectionsandtranslocation AT wilsontrevor conservingthegeneticdiversityofcondemnedpopulationsoptimizingcollectionsandtranslocation AT leeenhua conservingthegeneticdiversityofcondemnedpopulationsoptimizingcollectionsandtranslocation AT rossettomaurizio conservingthegeneticdiversityofcondemnedpopulationsoptimizingcollectionsandtranslocation |