Evidence map›Paper›PMID 20302665›Full record

ArticleAlgorithms for molecular biology : AMB2010

Distinguishing between hot-spots and melting-pots of genetic diversity using haplotype connectivity.

Binh Nguyen, Andreas Spillner, Brent C Emerson, Vincent Moulton

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Binh NguyenSchool of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Andreas Spillner
Brent C Emerson
Vincent Moulton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a method to help identify how the genetic diversity of a species within a geographic region might have arisen. This problem appears, for example, in the context of identifying refugia in phylogeography, and in the conservation of biodiversity where it is a factor in nature reserve selection. Complementing current methods for measuring genetic diversity, we analyze pairwise distances between the haplotypes of a species found in a geographic region and derive a quantity, called haplotype connectivity, that aims to capture how divergent the haplotypes are relative to one another. We propose using haplotype connectivity to indicate whether, for geographic regions that harbor a highly diverse collection of haplotypes, diversity evolved inside a region over a long period of time (a "hot-spot") or is the result of a more recent mixture (a "melting-pot"). We describe how the haplotype connectivity for a collection of haplotypes can be computed efficiently and briefly discuss some related optimization problems that arise in this context. We illustrate the applicability of our method using two previously published data sets of a species of beetle from the genus Brachyderes and a species of tree from the genus Pinus.

Identifiers

PMID20302665
PMCPMC2853546

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.