Evidence map›Paper›PMID 25037958›Full record

ArticleGenetics2014

Insights into the effects of long-term artificial selection on seed size in maize.

Candice N Hirsch, Sherry A Flint-Garcia, Timothy M Beissinger, Steven R Eichten, Shweta Deshpande, Kerrie Barry, Michael D McMullen, James B Holland, Edward S Buckler, Nathan Springer and 3 more

Abstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. The selection and application of peduncle length QTL QPL_6D.1 in modern wheat (Triticum aestivum L.) breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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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

13 authors.

Candice N HirschDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota 55108.
Sherry A Flint-GarciaUnited States Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211 Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211.
Timothy M BeissingerDepartment of Agronomy, University of Wisconsin, Madison, Wisconsin 53706 Department of Animal Sciences, University of Wisconsin, Madison, Wisconsin 53706.
Steven R EichtenDepartment of Plant Biology, University of Minnesota, Saint Paul, Minnesota 55108.
Shweta DeshpandeDepartment of Energy, Joint Genome Institute, Walnut Creek, California 94598.
Kerrie BarryDepartment of Energy, Joint Genome Institute, Walnut Creek, California 94598.
Michael D McMullenUnited States Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211 Division of Plant Sciences, University of Missouri, Columbia, Missouri 65211.
James B HollandUnited States Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211 Department of Crop Science, North Carolina State University, Raleigh, North Carolina 27695.
Edward S BucklerUnited States Department of Agriculture, Agricultural Research Service, Columbia, Missouri 65211 Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853 Department of Plant Breeding and Genetics, Cornell University, Ithaca, New York 14853.
Nathan SpringerDepartment of Plant Biology, University of Minnesota, Saint Paul, Minnesota 55108.
C Robin BuellDepartment of Plant Biology, Michigan State University, East Lansing, Michigan 48824 Department of Energy Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824.
Natalia de LeonDepartment of Agronomy, University of Wisconsin, Madison, Wisconsin 53706 Department of Energy Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin 53706.
Shawn M KaepplerDepartment of Agronomy, University of Wisconsin, Madison, Wisconsin 53706 Department of Energy Great Lakes Bioenergy Research Center, University of Wisconsin, Madison, Wisconsin 53706 smkaeppl@wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain produced from cereal crops is a primary source of human food and animal feed worldwide. To understand the genetic basis of seed-size variation, a grain yield component, we conducted a genome-wide scan to detect evidence of selection in the maize Krug Yellow Dent long-term divergent seed-size selection experiment. Previous studies have documented significant phenotypic divergence between the populations. Allele frequency estimates for ∼3 million single nucleotide polymorphisms (SNPs) in the base population and selected populations were estimated from pooled whole-genome resequencing of 48 individuals per population. Using FST values across sliding windows, 94 divergent regions with a median of six genes per region were identified. Additionally, 2729 SNPs that reached fixation in both selected populations with opposing fixed alleles were identified, many of which clustered in two regions of the genome. Copy-number variation was highly prevalent between the selected populations, with 532 total regions identified on the basis of read-depth variation and comparative genome hybridization. Regions important for seed weight in natural variation were identified in the maize nested association mapping population. However, the number of regions that overlapped with the long-term selection experiment did not exceed that expected by chance, possibly indicating unique sources of variation between the two populations. The results of this study provide insights into the genetic elements underlying seed-size variation in maize and could also have applications for other cereal crops.

Indexed as

Selection, GeneticDNA Copy Number VariationsGene FrequencyGenome, PlantModels, GeneticPolymorphism, Single NucleotideQuantitative Trait, HeritableSeedsZea mayscopy-number variationmaizenatural variationseed sizeselection signatures

Identifiers

PMID25037958
PMCPMC4174951

What OpenQuestion holds

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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.