Evidence map›Paper›PMID 27301592›Full record

ArticleMolecular biology and evolution2016

The Role of Deleterious Substitutions in Crop Genomes.

Thomas J Y Kono, Fengli Fu, Mohsen Mohammadi, Paul J Hoffman, Chaochih Liu, Robert M Stupar, Kevin P Smith, Peter Tiffin, Justin C Fay, Peter L Morrell

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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  13. Frontiers in plant science · 2025
    Article
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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

10 authors.

Thomas J Y KonoDepartment of Agronomy and Plant Genetics, University of Minnesota konox006@umn.edu pmorrell@umn.edu.
Fengli FuDepartment of Agronomy and Plant Genetics, University of Minnesota.
Mohsen MohammadiDepartment of Agronomy and Plant Genetics, University of Minnesota Department of Agronomy, Purdue University.
Paul J HoffmanDepartment of Agronomy and Plant Genetics, University of Minnesota.
Chaochih LiuDepartment of Agronomy and Plant Genetics, University of Minnesota.
Robert M StuparDepartment of Agronomy and Plant Genetics, University of Minnesota.
Kevin P SmithDepartment of Agronomy and Plant Genetics, University of Minnesota.
Peter TiffinDepartment of Plant Biology, University of Minnesota.
Justin C FayDepartment of Genetics, Washington University.
Peter L MorrellDepartment of Agronomy and Plant Genetics, University of Minnesota konox006@umn.edu pmorrell@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations continually incur new mutations with fitness effects ranging from lethal to adaptive. While the distribution of fitness effects of new mutations is not directly observable, many mutations likely either have no effect on organismal fitness or are deleterious. Historically, it has been hypothesized that a population may carry many mildly deleterious variants as segregating variation, which reduces the mean absolute fitness of the population. Recent advances in sequencing technology and sequence conservation-based metrics for inferring the functional effect of a variant permit examination of the persistence of deleterious variants in populations. The issue of segregating deleterious variation is particularly important for crop improvement, because the demographic history of domestication and breeding allows deleterious variants to persist and reach moderate frequency, potentially reducing crop productivity. In this study, we use exome resequencing of 15 barley accessions and genome resequencing of 8 soybean accessions to investigate the prevalence of deleterious single nucleotide polymorphisms (SNPs) in the protein-coding regions of the genomes of two crops. We conclude that individual cultivars carry hundreds of deleterious SNPs on average, and that nonsense variants make up a minority of deleterious SNPs. Our approach identifies known phenotype-altering variants as deleterious more frequently than the genome-wide average, suggesting that putatively deleterious variants are likely to affect phenotypic variation. We also report the implementation of a SNP annotation tool BAD_Mutations that makes use of a likelihood ratio test based on alignment of all currently publicly available Angiosperm genomes.

Indexed as

Amino Acid SubstitutionGenetic FitnessChromosome MappingComputational BiologyCrops, AgriculturalEvolution, MolecularGene FrequencyGenetic VariationGenome, PlantGlycine maxHordeumMutationMutation RatePlant BreedingPolymorphism, Single NucleotideSequence Analysis, DNAbioinformatics.cropsdeleterious mutationsresequencing

Identifiers

PMID27301592
PMCPMC4989107

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LicenceCC BY
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Registered trials

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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.