Evidence map›Paper›PMID 28464849›Full record

ArticleBMC genomics2017

Transcriptome analysis of smut fungi reveals widespread intergenic transcription and conserved antisense transcript expression.

Michael E Donaldson, Lauren A Ostrowski, Kristi M Goulet, Barry J Saville

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Metabolomic Study in Ustilaginaceae with GC-MS/MS.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Review
  3. Characterization of RNA Helicase Genes inInternational journal of molecular sciences · 2025
    Article
  4. Review
  5. Global Gene Expression of Post-Senescent Telomerase-NegativeJournal of fungi (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
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  11. Article
  12. Article
  13. Review
  14. Fungal Pathogen Emergence: Investigations with anJournal of fungi (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Article
  17. GC-MS-Based Metabolomics for the Smut FungusFrontiers in molecular biosciences · 2020
    Article
  18. Article
  19. Review
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

4 authors at 1 institution in 1 country.

Michael E DonaldsonEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, K9L 0G2, ON, Canada.
Lauren A OstrowskiEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, K9L 0G2, ON, Canada.
Kristi M GouletEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, K9L 0G2, ON, Canada.
Barry J SavilleEnvironmental and Life Sciences Graduate Program, Trent University, Peterborough, K9L 0G2, ON, Canada. barrysaville@trentu.ca.
Trent University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiotrophic fungal plant pathogens cause billions of dollars in losses to North American crops annually. The model for functional investigation of these fungi is Ustilago maydis. Its 20.5 Mb annotated genome sequence has been an excellent resource for investigating biotrophic plant pathogenesis. Expressed-sequence tag libraries and microarray hybridizations have provided insight regarding the type of transcripts produced by U. maydis but these analyses were not comprehensive and there were insufficient data for transcriptome comparison to other smut fungi. To improve transcriptome annotation and enable comparative analyses, comprehensive strand-specific RNA-seq was performed on cell-types of three related smut species: U. maydis (common smut of corn), Ustilago hordei (covered smut of barley), and Sporisorium reilianum (head smut of corn).

resultsIn total, >1 billion paired-end sequence reads were obtained from haploid cell, dikaryon and teliospore RNA of U. maydis, haploid cell RNA of U. hordei, and haploid and dikaryon cell RNA of S. reilianum. The sequences were assembled into transfrags using Trinity, and updated gene models were created using PASA and categorized with Cufflinks Cuffcompare. Representative genes that were predicted for the first time with these RNA-seq analyses and genes with novel annotation features were independently assessed by reverse transcriptase PCR. The analyses indicate hundreds more predicted proteins, relative to the previous genome annotation, could be produced by U. maydis from altered transcript forms, and that the number of non-coding RNAs produced, including transcribed intergenic sequences and natural antisense transcripts, approximately equals the number of mRNAs. This high representation of non-coding RNAs appears to be a conserved feature of the smut fungi regardless of whether they have RNA interference machinery. Approximately 50% of the identified NATs were conserved among the smut fungi.

conclusionsOverall, these analyses revealed: 1) smut genomes encode a number of transcriptional units that is twice the number of annotated protein-coding genes, 2) a small number of intergenic transcripts may encode proteins with characteristics of fungal effectors, 3) the vast majority of intergenic and antisense transcripts do not contain ORFs, 4) a large proportion of the identified antisense transcripts were detected at orthologous loci among the smut fungi, and 5) there is an enrichment of functional categories among orthologous loci that suggests antisense RNAs could have a genome-wide, non-RNAi-mediated, influence on gene expression in smut fungi.

Indexed as

Conserved SequenceGene Expression ProfilingTranscription, GeneticDNA, IntergenicGenome, FungalRNA, AntisenseRNA, MessengerUstilagoDNA, IntergenicRNA, AntisenseRNA, MessengerNatural antisense transcriptsNon-coding RNAsRNA-seqSmut fungiSporisorium reilianumUstilago hordeiUstilago maydis

Identifiers

PMID28464849
PMCPMC5414199
OpenAlexW2611899716

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.