Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms

Increasing insecticide resistance of mosquitoes represents a public health threat, and underlying mechanisms are poorly understood. Here, Ingham et al. identify putative insecticide resistance genes in Anopheles gambiae populations across Africa and develop a web-based application that maps their ex...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	V. A. Ingham, S. Wagstaff, H. Ranson
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8b121346ef604095a930c794bfdd1c76
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8b121346ef604095a930c794bfdd1c76
record_format	dspace
spelling	oai:doaj.org-article:8b121346ef604095a930c794bfdd1c762021-12-02T16:49:21ZTranscriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms10.1038/s41467-018-07615-x2041-1723https://doaj.org/article/8b121346ef604095a930c794bfdd1c762018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07615-xhttps://doaj.org/toc/2041-1723Increasing insecticide resistance of mosquitoes represents a public health threat, and underlying mechanisms are poorly understood. Here, Ingham et al. identify putative insecticide resistance genes in Anopheles gambiae populations across Africa and develop a web-based application that maps their expression.V. A. InghamS. WagstaffH. RansonNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q V. A. Ingham S. Wagstaff H. Ranson Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
description	Increasing insecticide resistance of mosquitoes represents a public health threat, and underlying mechanisms are poorly understood. Here, Ingham et al. identify putative insecticide resistance genes in Anopheles gambiae populations across Africa and develop a web-based application that maps their expression.
format	article
author	V. A. Ingham S. Wagstaff H. Ranson
author_facet	V. A. Ingham S. Wagstaff H. Ranson
author_sort	V. A. Ingham
title	Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
title_short	Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
title_full	Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
title_fullStr	Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
title_full_unstemmed	Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
title_sort	transcriptomic meta-signatures identified in anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/8b121346ef604095a930c794bfdd1c76
work_keys_str_mv	AT vaingham transcriptomicmetasignaturesidentifiedinanophelesgambiaepopulationsrevealpreviouslyundetectedinsecticideresistancemechanisms AT swagstaff transcriptomicmetasignaturesidentifiedinanophelesgambiaepopulationsrevealpreviouslyundetectedinsecticideresistancemechanisms AT hranson transcriptomicmetasignaturesidentifiedinanophelesgambiaepopulationsrevealpreviouslyundetectedinsecticideresistancemechanisms
_version_	1718383346995691520

Transcriptomic meta-signatures identified in Anopheles gambiae populations reveal previously undetected insecticide resistance mechanisms

Ejemplares similares