Evidence map›Paper›PMID 38979923›Full record

SynthesisG3 (Bethesda, Md.)2024

Genomic co-localization of variation affecting agronomic and human gut microbiome traits in a meta-analysis of diverse sorghum.

Nate Korth, Qinnan Yang, Mallory J Van Haute, Michael C Tross, Bo Peng, Nikee Shrestha, Mackenzie Zwiener-Malcom, Ravi V Mural, James C Schnable, Andrew K Benson

Abstract readMeta-Analysis
In one paragraph

Synthesis in G3 (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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.

Nate KorthNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0009-0005-5543-0299
Qinnan YangNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0001-6444-6931
Mallory J Van HauteNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Michael C TrossComplex Biosystems Graduate Program, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-4410-9679
Bo PengNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Nikee ShresthaComplex Biosystems Graduate Program, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Mackenzie Zwiener-MalcomCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Ravi V MuralCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
James C SchnableNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Andrew K BensonNebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0001-6330-0252

Funding

Bill and Melinda Gates FoundationDon Dillon FoundationHogemeyer Family FoundationMcConnel fundUSDA-ARS 3042-21220-033-00D
6 · The paper itself

Abstract

Substantial functional metabolic diversity exists within species of cultivated grain crops that directly or indirectly provide more than half of all calories consumed by humans around the globe. While such diversity is the molecular currency used for improving agronomic traits, diversity is poorly characterized for its effects on human nutrition and utilization by gut microbes. Moreover, we know little about agronomic traits' potential tradeoffs and pleiotropic effects on human nutritional traits. Here, we applied a quantitative genetics approach using a meta-analysis and parallel genome-wide association studies of Sorghum bicolor traits describing changes in the composition and function of human gut microbe communities, and any of 200 sorghum seed and agronomic traits across a diverse sorghum population to identify associated genetic variants. A total of 15 multiple-effect loci (MEL) were initially found where different alleles in the sorghum genome produced changes in seed that affected the abundance of multiple bacterial taxa across 2 human microbiomes in automated in vitro fermentations. Next, parallel genome-wide studies conducted for seed, biochemical, and agronomic traits in the same population identified significant associations within the boundaries of 13/15 MEL for microbiome traits. In several instances, the colocalization of variation affecting gut microbiome and agronomic traits provided hypotheses for causal mechanisms through which variation could affect both agronomic traits and human gut microbes. This work demonstrates that genetic factors affecting agronomic traits in sorghum seed can also drive significant effects on human gut microbes, particularly bacterial taxa considered beneficial. Understanding these pleiotropic relationships will inform future strategies for crop improvement toward yield, sustainability, and human health.

Indexed as

Gastrointestinal MicrobiomeGenome-Wide Association StudySorghumGenetic VariationGenome, PlantGenomicsHumansPhenotypeQuantitative Trait, HeritableQuantitative Trait Lociassociation studygenomicsgut microbiomeGWAShealth agriculture nexusin vitro fermentationmicrobiomenutrition in agriculturequantitative geneticssorghum

Identifiers

PMID38979923
PMCPMC11373648

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.