Evidence map›Paper›PMID 34618065›Full record

ArticlePlant physiology2021

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions.

John N Ferguson, Samuel B Fernandes, Brandon Monier, Nathan D Miller, Dylan Allen, Anna Dmitrieva, Peter Schmuker, Roberto Lozano, Ravi Valluru, Edward S Buckler and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Plant physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Improving multi-trait genomic prediction using synthetic traits from hyperspectral data based on co-heritability.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Genes and pathways determining flowering time variation in temperate-adapted sorghum.The Plant journal : for cell and molecular biology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Stomatal development in the changing climate.Development (Cambridge, England) · 2024
    Review
  20. 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

14 authors at 3 institutions in 1 country.

John N FergusonInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.
Samuel B FernandesInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.ORCID 0000-0001-8269-535X
Brandon MonierInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.ORCID 0000-0001-6797-1221
Nathan D MillerDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706, USA.ORCID 0000-0003-0126-9602
Dylan AllenInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.
Anna DmitrievaInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.ORCID 0000-0002-7596-2146
Peter SchmukerInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.
Roberto LozanoPlant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853, USA.
Ravi ValluruInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.ORCID 0000-0001-5725-5766
Edward S BucklerInstitute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA.ORCID 0000-0002-3100-371X
Michael A GorePlant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, New York 14853, USA.ORCID 0000-0001-6896-8024
Patrick J BrownInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.
Edgar P SpaldingDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706, USA.ORCID 0000-0002-6890-4765
Andrew D B LeakeyInstitute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61901, USA.ORCID 0000-0001-6251-024X
University of Illinois Urbana-Champaign · USCornell University · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorghum (Sorghum bicolor) is a model C4 crop made experimentally tractable by extensive genomic and genetic resources. Biomass sorghum is studied as a feedstock for biofuel and forage. Mechanistic modeling suggests that reducing stomatal conductance (gs) could improve sorghum intrinsic water use efficiency (iWUE) and biomass production. Phenotyping to discover genotype-to-phenotype associations remains a bottleneck in understanding the mechanistic basis for natural variation in gs and iWUE. This study addressed multiple methodological limitations. Optical tomography and a machine learning tool were combined to measure stomatal density (SD). This was combined with rapid measurements of leaf photosynthetic gas exchange and specific leaf area (SLA). These traits were the subject of genome-wide association study and transcriptome-wide association study across 869 field-grown biomass sorghum accessions. The ratio of intracellular to ambient CO2 was genetically correlated with SD, SLA, gs, and biomass production. Plasticity in SD and SLA was interrelated with each other and with productivity across wet and dry growing seasons. Moderate-to-high heritability of traits studied across the large mapping population validated associations between DNA sequence variation or RNA transcript abundance and trait variation. A total of 394 unique genes underpinning variation in WUE-related traits are described with higher confidence because they were identified in multiple independent tests. This list was enriched in genes whose Arabidopsis (Arabidopsis thaliana) putative orthologs have functions related to stomatal or leaf development and leaf gas exchange, as well as genes with nonsynonymous/missense variants. These advances in methodology and knowledge will facilitate improving C4 crop WUE.

Indexed as

Gene Expression ProfilingGenome-Wide Association StudyMachine LearningGenetic TechniquesLife History TraitsPhenotypeSorghumWaterWater

Identifiers

PMID34618065
PMCPMC9040483
OpenAlexW3196045877

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.