Evidence map›Paper›PMID 29426290›Full record

ArticleBMC genomics2018

Transcriptome profiling of two maize inbreds with distinct responses to Gibberella ear rot disease to identify candidate resistance genes.

Aida Z Kebede, Anne Johnston, Danielle Schneiderman, Whynn Bosnich, Linda J Harris

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
10.5field-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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Identification and Cloning of a CC-NBS-NBS-LRR Gene as a Candidate ofInternational journal of molecular sciences · 2021
    Article
  16. Variation in Gene Expression between TwoPlants (Basel, Switzerland) · 2021
    Article
  17. Article
  18. Article
  19. Article
  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

5 authors at 2 institutions in 1 country.

Aida Z KebedeOttawa Research and Development Centre (ORDC), Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada.
Anne JohnstonOttawa Research and Development Centre (ORDC), Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada.
Danielle SchneidermanOttawa Research and Development Centre (ORDC), Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada.
Whynn BosnichOttawa Research and Development Centre (ORDC), Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada.
Linda J HarrisOttawa Research and Development Centre (ORDC), Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, ON, K1A 0C6, Canada. Linda.Harris@agr.gc.ca.
Ottawa Research and Development CentreAgriculture and Agri-Food Canada · CA

Funding

Agriculture and Agri-Food Canada J-000008
6 · The paper itself

Abstract

backgroundGibberella ear rot (GER) is one of the most economically important fungal diseases of maize in the temperate zone due to moldy grain contaminated with health threatening mycotoxins. To develop resistant genotypes and control the disease, understanding the host-pathogen interaction is essential.

resultsRNA-Seq-derived transcriptome profiles of fungal- and mock-inoculated developing kernel tissues of two maize inbred lines were used to identify differentially expressed transcripts and propose candidate genes mapping within GER resistance quantitative trait loci (QTL). A total of 1255 transcripts were significantly (P ≤ 0.05) up regulated due to fungal infection in both susceptible and resistant inbreds. A greater number of transcripts were up regulated in the former (1174) than the latter (497) and increased as the infection progressed from 1 to 2 days after inoculation. Focusing on differentially expressed genes located within QTL regions for GER resistance, we identified 81 genes involved in membrane transport, hormone regulation, cell wall modification, cell detoxification, and biosynthesis of pathogenesis related proteins and phytoalexins as candidate genes contributing to resistance. Applying droplet digital PCR, we validated the expression profiles of a subset of these candidate genes from QTL regions contributed by the resistant inbred on chromosomes 1, 2 and 9.

conclusionBy screening global gene expression profiles for differentially expressed genes mapping within resistance QTL regions, we have identified candidate genes for gibberella ear rot resistance on several maize chromosomes which could potentially lead to a better understanding of Fusarium resistance mechanisms.

Indexed as

TranscriptomeDisease ResistanceFusariumGene Expression Regulation, PlantGene OntologyGenes, PlantGibberellaHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsInbreedingPlant DiseasesQuantitative Trait LociSpecies SpecificityZea maysCandidate geneDisease resistanceFungal pathogenFusarium graminearumGene expressionGibberella ear rotMaizeQTLRNA-SeqTranscriptome

Identifiers

PMID29426290
PMCPMC5807830
OpenAlexW2798035186

What OpenQuestion holds

Textmetadata
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.