Evidence map›Paper›PMID 29489873›Full record

ArticlePloS one2018

An informational view of accession rarity and allele specificity in germplasm banks for management and conservation.

M Humberto Reyes-Valdés, Juan Burgueño, Sukhwinder Singh, Octavio Martínez, Carolina Paola Sansaloni

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Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

M Humberto Reyes-ValdésDepartment of Plant Breeding/Universidad Autónoma Agraria Antonio Narro, Saltillo, Coahuila, Mexico.ORCID 0000-0002-5376-1108
Juan BurgueñoInternational Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.
Sukhwinder SinghInternational Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.
Octavio MartínezCentro de Investigación y Estudios Avanzados/Instituto Politécnico Nacional, Irapuato, Guanajuato, Mexico.
Carolina Paola SansaloniInternational Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germplasm banks are growing in their importance, number of accessions and amount of characterization data, with a large emphasis on molecular genetic markers. In this work, we offer an integrated view of accessions and marker data in an information theory framework. The basis of this development is the mutual information between accessions and allele frequencies for molecular marker loci, which can be decomposed in allele specificities, as well as in rarity and divergence of accessions. In this way, formulas are provided to calculate the specificity of the different marker alleles with reference to their distribution across accessions, accession rarity, defined as the weighted average of the specificity of its alleles, and divergence, defined by the Kullback-Leibler formula. Albeit being different measures, it is demonstrated that average rarity and divergence are equal for any collection. These parameters can contribute to the knowledge of the structure of a germplasm collection and to make decisions about the preservation of rare variants. The concepts herein developed served as the basis for a strategy for core subset selection called HCore, implemented in a publicly available R script. As a proof of concept, the mathematical view and tools developed in this research were applied to a large collection of Mexican wheat accessions, widely characterized by SNP markers. The most specific alleles were found to be private of a single accession, and the distribution of this parameter had its highest frequencies at low levels of specificity. Accession rarity and divergence had largely symmetrical distributions, and had a positive, albeit non-strictly linear relationship. Comparison of the HCore approach for core subset selection, with three state-of-the-art methods, showed it to be superior for average divergence and rarity, mean genetic distance and diversity. The proposed approach can be used for knowledge extraction and decision making in germplasm collections of diploid, inbred or outbred species.

Indexed as

AllelesInformation ManagementInformation Storage and RetrievalSeed BankGenetic MarkersPolymorphism, GeneticTriticumGenetic Markers

Identifiers

PMID29489873
PMCPMC5831390

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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.