Evidence map›Paper›PMID 28056770›Full record

ArticleBMC genomics2017

Genetic architecture of kernel composition in global sorghum germplasm.

Davina H Rhodes, Leo Hoffmann, William L Rooney, Thomas J Herald, Scott Bean, Richard Boyles, Zachary W Brenton, Stephen Kresovich

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Davina H RhodesCenter for Grain and Animal Health Research, USDA-ARS, 1515 College Ave, Manhattan, Kansas, 66502, USA. davina.rhodes@ars.usda.gov.
Leo HoffmannDepartment of Soil & Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
William L RooneyDepartment of Soil & Crop Sciences, Texas A&M University, College Station, TX, 77843, USA.
Thomas J HeraldCenter for Grain and Animal Health Research, USDA-ARS, 1515 College Ave, Manhattan, Kansas, 66502, USA.
Scott BeanCenter for Grain and Animal Health Research, USDA-ARS, 1515 College Ave, Manhattan, Kansas, 66502, USA.
Richard BoylesInstitute of Translational Genomics, Clemson University, Clemson, SC, 29634, USA.
Zachary W BrentonInstitute of Translational Genomics, Clemson University, Clemson, SC, 29634, USA.
Stephen KresovichInstitute of Translational Genomics, Clemson University, Clemson, SC, 29634, USA.
Center for Grain and Animal Health Research · USClemson University · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSorghum [Sorghum bicolor (L.) Moench] is an important cereal crop for dryland areas in the United States and for small-holder farmers in Africa. Natural variation of sorghum grain composition (protein, fat, and starch) between accessions can be used for crop improvement, but the genetic controls are still unresolved. The goals of this study were to quantify natural variation of sorghum grain composition and to identify single-nucleotide polymorphisms (SNPs) associated with variation in grain composition concentrations.

resultsIn this study, we quantified protein, fat, and starch in a global sorghum diversity panel using near-infrared spectroscopy (NIRS). Protein content ranged from 8.1 to 18.8%, fat content ranged from 1.0 to 4.3%, and starch content ranged from 61.7 to 71.1%. Durra and bicolor-durra sorghum from Ethiopia and India had the highest protein and fat and the lowest starch content, while kafir sorghum from USA, India, and South Africa had the lowest protein and the highest starch content. Genome-wide association studies (GWAS) identified quantitative trait loci (QTL) for sorghum protein, fat, and starch. Previously published RNAseq data was used to identify candidate genes within a GWAS QTL region. A putative alpha-amylase 3 gene, which has previously been shown to be associated with grain composition traits, was identified as a strong candidate for protein and fat variation.

conclusionsWe identified promising sources of genetic material for manipulation of grain composition traits, and several loci and candidate genes that may control sorghum grain composition. This survey of grain composition in sorghum germplasm and identification of protein, fat, and starch QTL contributes to our understanding of the genetic basis of natural variation in sorghum grain nutritional traits.

Indexed as

Genetic Association StudiesQuantitative Trait, HeritableEdible GrainGenome-Wide Association StudyGenomicsPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSeedsSorghumStarchStarchCereal cropGrain compositionGWASNatural variationNutritionQTLSorghum

Identifiers

PMID28056770
PMCPMC5217548
OpenAlexW2568465743

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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.