Cargando…

A genetic analysis of dragonfly population structure

Dragonflies reside in both aquatic and terrestrial environments, depending on their life stage, necessitating the conservation of drastically different habitats; however, little is understood about how nymph and adult dragonflies function as metapopulations within connected habitat. We used genetic...

Descripción completa

Detalles Bibliográficos
Autores principales: Phillips, Payton, Swanson, Bradley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065342/
https://www.ncbi.nlm.nih.gov/pubmed/30073079
http://dx.doi.org/10.1002/ece3.4255
_version_ 1783342846428839936
author Phillips, Payton
Swanson, Bradley J.
author_facet Phillips, Payton
Swanson, Bradley J.
author_sort Phillips, Payton
collection PubMed
description Dragonflies reside in both aquatic and terrestrial environments, depending on their life stage, necessitating the conservation of drastically different habitats; however, little is understood about how nymph and adult dragonflies function as metapopulations within connected habitat. We used genetic techniques to examine nymphs and adults within a single metapopulation both spatially and temporally to better understand metapopulation structure and the processes that might influence said structure. We sampled 97 nymphs and 149 adult Sympetrum obtrusum from eight locations, four aquatic, and four terrestrial, at the Pierce Cedar Creek Institute in Southwest Michigan over two summers. We performed AFLP genetic analysis and used the Bayesian analysis program STRUCTURE to detect genetic clusters from sampled individuals. STRUCTURE detected k = u4 populations, in which nymphs and adults from the same locations collected in different years did not necessarily fall into the same clusters. We also evaluated grouping using the statistical clustering analyses NMDS and MRPP. The results of these confirmed findings from STRUCTURE and emphasized differences between adults collected in 2012 and all other generations. These results suggest that both dispersal and a temporal cycle of emergence of nymphs from unique clusters every other year could be influential in structuring dragonfly populations, although our methods were not able to fully distinguish the influences of either force. This study provides a better understanding of local dragonfly metapopulation structure and provides a starting point for future studies to investigate the spatial and temporal mechanisms controlling metapopulation structure. The results of the study should prove informative for managers working to preserve genetic diversity in connected dragonfly metapopulations, especially in the face of increasing anthropogenic landscape changes.
format Online
Article
Text
id pubmed-6065342
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-60653422018-08-02 A genetic analysis of dragonfly population structure Phillips, Payton Swanson, Bradley J. Ecol Evol Original Research Dragonflies reside in both aquatic and terrestrial environments, depending on their life stage, necessitating the conservation of drastically different habitats; however, little is understood about how nymph and adult dragonflies function as metapopulations within connected habitat. We used genetic techniques to examine nymphs and adults within a single metapopulation both spatially and temporally to better understand metapopulation structure and the processes that might influence said structure. We sampled 97 nymphs and 149 adult Sympetrum obtrusum from eight locations, four aquatic, and four terrestrial, at the Pierce Cedar Creek Institute in Southwest Michigan over two summers. We performed AFLP genetic analysis and used the Bayesian analysis program STRUCTURE to detect genetic clusters from sampled individuals. STRUCTURE detected k = u4 populations, in which nymphs and adults from the same locations collected in different years did not necessarily fall into the same clusters. We also evaluated grouping using the statistical clustering analyses NMDS and MRPP. The results of these confirmed findings from STRUCTURE and emphasized differences between adults collected in 2012 and all other generations. These results suggest that both dispersal and a temporal cycle of emergence of nymphs from unique clusters every other year could be influential in structuring dragonfly populations, although our methods were not able to fully distinguish the influences of either force. This study provides a better understanding of local dragonfly metapopulation structure and provides a starting point for future studies to investigate the spatial and temporal mechanisms controlling metapopulation structure. The results of the study should prove informative for managers working to preserve genetic diversity in connected dragonfly metapopulations, especially in the face of increasing anthropogenic landscape changes. John Wiley and Sons Inc. 2018-06-25 /pmc/articles/PMC6065342/ /pubmed/30073079 http://dx.doi.org/10.1002/ece3.4255 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://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 Research
Phillips, Payton
Swanson, Bradley J.
A genetic analysis of dragonfly population structure
title A genetic analysis of dragonfly population structure
title_full A genetic analysis of dragonfly population structure
title_fullStr A genetic analysis of dragonfly population structure
title_full_unstemmed A genetic analysis of dragonfly population structure
title_short A genetic analysis of dragonfly population structure
title_sort genetic analysis of dragonfly population structure
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6065342/
https://www.ncbi.nlm.nih.gov/pubmed/30073079
http://dx.doi.org/10.1002/ece3.4255
work_keys_str_mv AT phillipspayton ageneticanalysisofdragonflypopulationstructure
AT swansonbradleyj ageneticanalysisofdragonflypopulationstructure
AT phillipspayton geneticanalysisofdragonflypopulationstructure
AT swansonbradleyj geneticanalysisofdragonflypopulationstructure