Evidence map›Paper›PMID 24260321›Full record

ArticlePloS one2013

Analysis and optimization of bulk DNA sampling with binary scoring for germplasm characterization.

M Humberto Reyes-Valdés, Amalio Santacruz-Varela, Octavio Martínez, June Simpson, Corina Hayano-Kanashiro, Celso Cortés-Romero

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

Who cites it

16 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

M Humberto Reyes-ValdésDepartment of Plant Breeding, Universidad Autónoma Agraria Antonio Narro, Saltillo, Coahuila, Mexico.
Amalio Santacruz-Varela
Octavio Martínez
June Simpson
Corina Hayano-Kanashiro
Celso Cortés-Romero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The strategy of bulk DNA sampling has been a valuable method for studying large numbers of individuals through genetic markers. The application of this strategy for discrimination among germplasm sources was analyzed through information theory, considering the case of polymorphic alleles scored binarily for their presence or absence in DNA pools. We defined the informativeness of a set of marker loci in bulks as the mutual information between genotype and population identity, composed by two terms: diversity and noise. The first term is the entropy of bulk genotypes, whereas the noise term is measured through the conditional entropy of bulk genotypes given germplasm sources. Thus, optimizing marker information implies increasing diversity and reducing noise. Simple formulas were devised to estimate marker information per allele from a set of estimated allele frequencies across populations. As an example, they allowed optimization of bulk size for SSR genotyping in maize, from allele frequencies estimated in a sample of 56 maize populations. It was found that a sample of 30 plants from a random mating population is adequate for maize germplasm SSR characterization. We analyzed the use of divided bulks to overcome the allele dilution problem in DNA pools, and concluded that samples of 30 plants divided into three bulks of 10 plants are efficient to characterize maize germplasm sources through SSR with a good control of the dilution problem. We estimated the informativeness of 30 SSR loci from the estimated allele frequencies in maize populations, and found a wide variation of marker informativeness, which positively correlated with the number of alleles per locus.

Indexed as

AllelesDNAGene FrequencyGenetic MarkersGenetic VariationGenotypeHumansZea maysDNAGenetic Markers

Identifiers

PMID24260321
PMCPMC3833943

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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.