Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand

Abstract The New Zealand green-lipped mussel aquaculture industry is largely dependent on the supply of young mussels that wash up on Ninety Mile Beach (so-called Kaitaia spat), which are collected and trucked to aquaculture farms. The locations of source populations of Kaitaia spat are unknown and...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jonathan P. A. Gardner, Catarina N. S. Silva, Craig R. Norrie, Brendon J. Dunphy
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/38ef0e74868341eb87723b13d2b6578c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:38ef0e74868341eb87723b13d2b6578c
record_format	dspace
spelling	oai:doaj.org-article:38ef0e74868341eb87723b13d2b6578c2021-12-02T15:51:13ZCombining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand10.1038/s41598-021-87326-42045-2322https://doaj.org/article/38ef0e74868341eb87723b13d2b6578c2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87326-4https://doaj.org/toc/2045-2322Abstract The New Zealand green-lipped mussel aquaculture industry is largely dependent on the supply of young mussels that wash up on Ninety Mile Beach (so-called Kaitaia spat), which are collected and trucked to aquaculture farms. The locations of source populations of Kaitaia spat are unknown and this lack of knowledge represents a major problem because spat supply may be irregular. We combined genotypic (microsatellite) and phenotypic (shell geochemistry) data in a geospatial framework to determine if this new approach can help identify source populations of mussels collected from two spat-collecting and four non-spat-collecting sites further south. Genetic analyses resolved differentiated clusters (mostly three clusters), but no obvious source populations. Shell geochemistry analyses resolved six differentiated clusters, as did the combined genotypic and phenotypic data. Analyses revealed high levels of spatial and temporal variability in the geochemistry signal. Whilst we have not been able to identify the source site(s) of Kaitaia spat our analyses indicate that geospatial testing using combined genotypic and phenotypic data is a powerful approach. Next steps should employ analyses of single nucleotide polymorphism markers with shell geochemistry and in conjunction with high resolution physical oceanographic modelling to resolve the longstanding question of the origin of Kaitaia spat.Jonathan P. A. GardnerCatarina N. S. SilvaCraig R. NorrieBrendon J. DunphyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jonathan P. A. Gardner Catarina N. S. Silva Craig R. Norrie Brendon J. Dunphy Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
description	Abstract The New Zealand green-lipped mussel aquaculture industry is largely dependent on the supply of young mussels that wash up on Ninety Mile Beach (so-called Kaitaia spat), which are collected and trucked to aquaculture farms. The locations of source populations of Kaitaia spat are unknown and this lack of knowledge represents a major problem because spat supply may be irregular. We combined genotypic (microsatellite) and phenotypic (shell geochemistry) data in a geospatial framework to determine if this new approach can help identify source populations of mussels collected from two spat-collecting and four non-spat-collecting sites further south. Genetic analyses resolved differentiated clusters (mostly three clusters), but no obvious source populations. Shell geochemistry analyses resolved six differentiated clusters, as did the combined genotypic and phenotypic data. Analyses revealed high levels of spatial and temporal variability in the geochemistry signal. Whilst we have not been able to identify the source site(s) of Kaitaia spat our analyses indicate that geospatial testing using combined genotypic and phenotypic data is a powerful approach. Next steps should employ analyses of single nucleotide polymorphism markers with shell geochemistry and in conjunction with high resolution physical oceanographic modelling to resolve the longstanding question of the origin of Kaitaia spat.
format	article
author	Jonathan P. A. Gardner Catarina N. S. Silva Craig R. Norrie Brendon J. Dunphy
author_facet	Jonathan P. A. Gardner Catarina N. S. Silva Craig R. Norrie Brendon J. Dunphy
author_sort	Jonathan P. A. Gardner
title	Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
title_short	Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
title_full	Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
title_fullStr	Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
title_full_unstemmed	Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand
title_sort	combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern new zealand
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/38ef0e74868341eb87723b13d2b6578c
work_keys_str_mv	AT jonathanpagardner combininggenotypicandphenotypicvariationinageospatialframeworktoidentifysourcesofmusselsinnorthernnewzealand AT catarinanssilva combininggenotypicandphenotypicvariationinageospatialframeworktoidentifysourcesofmusselsinnorthernnewzealand AT craigrnorrie combininggenotypicandphenotypicvariationinageospatialframeworktoidentifysourcesofmusselsinnorthernnewzealand AT brendonjdunphy combininggenotypicandphenotypicvariationinageospatialframeworktoidentifysourcesofmusselsinnorthernnewzealand
_version_	1718385626782367744

Combining genotypic and phenotypic variation in a geospatial framework to identify sources of mussels in northern New Zealand

Ejemplares similares