Evidence map›Paper›PMID 31572448›Full record

ArticleFrontiers in genetics2019

Optimal Management of Genetic Diversity in Subdivided Populations.

Eugenio López-Cortegano, Ramón Pouso, Adriana Labrador, Andrés Pérez-Figueroa, Jesús Fernández, Armando Caballero

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Eugenio López-CorteganoDepartamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.
Ramón PousoDepartamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.
Adriana LabradorDepartamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.
Andrés Pérez-FigueroaDepartamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.
Jesús FernándezDepartamento de Mejora Genética, Instituto de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain.
Armando CaballeroDepartamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, Vigo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main objectives of conservation programs is the maintenance of genetic diversity because this provides the adaptive potential of populations to face new environmental challenges. Genetic diversity is generally assessed by means of neutral molecular markers, and it is usually quantified by the expected heterozygosity under Hardy-Weinberg equilibrium and the number of alleles per locus or allelic diversity. These two measures of genetic diversity are complementary because whereas the former is directly related to genetic variance for quantitative traits and, therefore, to the short-term response to selection and adaptation, the latter is more sensitive to population bottlenecks and relates more strongly to the long-term capacity of adaptation of populations. In the context of structured populations undergoing conservation programs, it is important to decide the optimum management strategy to preserve as much genetic diversity as possible while avoiding inbreeding. Here we examine, through computer simulations, the consequences of choosing a conservation strategy based on maximizing either heterozygosity or allelic diversity of single-nucleotide polymorphism haplotypes in a subdivided population. Our results suggest that maximization of allelic diversity can be more efficient in maintaining the genetic diversity of subdivided populations than maximization of expected heterozygosity because the former maintains a larger number of alleles while making a better control of inbreeding. Thus, maximization of allelic diversity should be a recommended strategy in conservation programs for structured populations.

Indexed as

allelic diversityconservation geneticsgenetic markershaplotypesheterozygositypopulation managementSNP

Identifiers

PMID31572448
PMCPMC6753960

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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.