Evidence map›Paper›PMID 38816789›Full record

SynthesisBMC genomics2024

Functional annotation and meta-analysis of maize transcriptomes reveal genes involved in biotic and abiotic stress.

Rita K Hayford, Olivia C Haley, Ethalinda K Cannon, John L Portwood, Jack M Gardiner, Carson M Andorf, Margaret R Woodhouse

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Genome-Wide Identification of the P-Type CaInternational journal of molecular sciences · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Frontiers in plant science · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. A Critical Review of Recent Advances in Maize Stress Molecular Biology.International journal of molecular sciences · 2024
    Review
  14. Article
  15. 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

7 authors.

Rita K HayfordCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA. rita.hayford@usda.gov.
Olivia C HaleyCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
Ethalinda K CannonCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
John L PortwoodCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA.
Jack M GardinerDivision of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Carson M AndorfCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA. carson.andorf@usda.gov.
Margaret R WoodhouseCorn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA, 50011, USA. margaret.woodhouse@usda.gov.

Funding

US. Department of Agriculture, Agricultural Research Service Project Number [5030-21000-072-00-D]
6 · The paper itself

Abstract

backgroundEnvironmental stress factors, such as biotic and abiotic stress, are becoming more common due to climate variability, significantly affecting global maize yield. Transcriptome profiling studies provide insights into the molecular mechanisms underlying stress response in maize, though the functions of many genes are still unknown. To enhance the functional annotation of maize-specific genes, MaizeGDB has outlined a data-driven approach with an emphasis on identifying genes and traits related to biotic and abiotic stress.

resultsWe mapped high-quality RNA-Seq expression reads from 24 different publicly available datasets (17 abiotic and seven biotic studies) generated from the B73 cultivar to the recent version of the reference genome B73 (B73v5) and deduced stress-related functional annotation of maize gene models. We conducted a robust meta-analysis of the transcriptome profiles from the datasets to identify maize loci responsive to stress, identifying 3,230 differentially expressed genes (DEGs): 2,555 DEGs regulated in response to abiotic stress, 408 DEGs regulated during biotic stress, and 267 common DEGs (co-DEGs) that overlap between abiotic and biotic stress. We discovered hub genes from network analyses, and among the hub genes of the co-DEGs we identified a putative NAC domain transcription factor superfamily protein (Zm00001eb369060) IDP275, which previously responded to herbivory and drought stress. IDP275 was up-regulated in our analysis in response to eight different abiotic and four different biotic stresses. A gene set enrichment and pathway analysis of hub genes of the co-DEGs revealed hormone-mediated signaling processes and phenylpropanoid biosynthesis pathways, respectively. Using phylostratigraphic analysis, we also demonstrated how abiotic and biotic stress genes differentially evolve to adapt to changing environments.

conclusionsThese results will help facilitate the functional annotation of multiple stress response gene models and annotation in maize. Data can be accessed and downloaded at the Maize Genetics and Genomics Database (MaizeGDB).

Indexed as

Molecular Sequence AnnotationStress, PhysiologicalTranscriptomeZea maysGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantAbiotic stressBiotic stressDifferentially expressed genesGene OntologyMaizeRNA-SequencingTranscription factors

Identifiers

PMID38816789
PMCPMC11137889

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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.