Bee conservation in the age of genomics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Jeffrey D. Lozier, Amro Zayed

ABSTRACT

Many wild and managed bee pollinators have experienced population declines over the past several decades, and molecular and population genetic tools have been valuable in understanding conservation threats across the bee tree of life. Emerging genomic tools have the potential to improve classical applications of conservation genetics, such as assessing species status, and quantifying genetic diversity, gene flow and effective population sizes. Genomic tools can also revolutionize novel research in bee conservation and management, including the identification of loci underlying adaptive and economically desirable traits, such as those involved in disease susceptibility, responses to multiple environmental stressors, and even discovering and understanding the hidden diversity of beneficial microorganisms associated with bees. In this perspective, we provide a survey of some of the ways genomic tools can be applied to bee conservation to bridge the gap between basic and applied genomics research. More... »

PAGES

713-729

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10592-016-0893-7

DOI

http://dx.doi.org/10.1007/s10592-016-0893-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005451966


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188 schema:description Many wild and managed bee pollinators have experienced population declines over the past several decades, and molecular and population genetic tools have been valuable in understanding conservation threats across the bee tree of life. Emerging genomic tools have the potential to improve classical applications of conservation genetics, such as assessing species status, and quantifying genetic diversity, gene flow and effective population sizes. Genomic tools can also revolutionize novel research in bee conservation and management, including the identification of loci underlying adaptive and economically desirable traits, such as those involved in disease susceptibility, responses to multiple environmental stressors, and even discovering and understanding the hidden diversity of beneficial microorganisms associated with bees. In this perspective, we provide a survey of some of the ways genomic tools can be applied to bee conservation to bridge the gap between basic and applied genomics research.
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