Evidence map›Paper›PMID 25519841›Full record

ArticleBMC genomics2014

The landscape of transposable elements in the finished genome of the fungal wheat pathogen Mycosphaerella graminicola.

Braham Dhillon, Navdeep Gill, Richard C Hamelin, Stephen B Goodwin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
12.6field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Defense Pathways of Wheat Plants Inoculated withLife (Basel, Switzerland) · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Comparative Genomics: Insights on the Pathogenicity and Lifestyle ofInternational journal of molecular sciences · 2021
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Analysis of Transposable Elements in Coccidioides Species.Journal of fungi (Basel, Switzerland) · 2018
    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

4 authors at 4 institutions in 3 countries.

Braham DhillonDepartment of Forest and Conservation Sciences, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada. dhillonb@mail.ubc.ca.
Navdeep GillDepartment of Botany, Beaty Biodiversity Centre, 2212 Main Mall, Vancouver, BC, V6T 1Z4, Canada. navdeep.gill@botany.ubc.ca.
Richard C HamelinDepartment of Forest and Conservation Sciences, 2424 Main Mall, Vancouver, BC, V6T 1Z4, Canada. richard.hamelin@ubc.ca.
Stephen B GoodwinUSDA-ARS, Crop Production and Pest Control Research Unit, Purdue University, 915 W. State Street, West Lafayette, Indiana, 47907-2054, USA. sgoodwin@purdue.edu.
Institute of Botany · AMNatural Resources Canada · CAPurdue University West Lafayette · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn addition to gene identification and annotation, repetitive sequence analysis has become an integral part of genome sequencing projects. Identification of repeats is important not only because it improves gene prediction, but also because of the role that repetitive sequences play in determining the structure and evolution of genes and genomes. Several methods using different repeat-finding strategies are available for whole-genome repeat sequence analysis. Four independent approaches were used to identify and characterize the repetitive fraction of the Mycosphaerella graminicola (synonym Zymoseptoria tritici) genome. This ascomycete fungus is a wheat pathogen and its finished genome comprises 21 chromosomes, eight of which can be lost with no obvious effects on fitness so are dispensable.

resultsUsing a combination of four repeat-finding methods, at least 17% of the M. graminicola genome was estimated to be repetitive. Class I transposable elements, that amplify via an RNA intermediate, account for about 70% of the total repetitive content in the M. graminicola genome. The dispensable chromosomes had a higher percentage of repetitive elements as compared to the core chromosomes. Distribution of repeats across the chromosomes also varied, with at least six chromosomes showing a non-random distribution of repetitive elements. Repeat families showed transition mutations and a CpA → TpA dinucleotide bias, indicating the presence of a repeat-induced point mutation (RIP)-like mechanism in M. graminicola. One gene family and two repeat families specific to subtelomeres also were identified in the M. graminicola genome. A total of 78 putative clusters of nested elements was found in the M. graminicola genome. Several genes with putative roles in pathogenicity were found associated with these nested repeat clusters. This analysis of the transposable element content in the finished M. graminicola genome resulted in a thorough and highly curated database of repetitive sequences.

conclusionsThis comprehensive analysis will serve as a scaffold to address additional biological questions regarding the origin and fate of transposable elements in fungi. Future analyses of the distribution of repetitive sequences in M. graminicola also will be able to provide insights into the association of repeats with genes and their potential role in gene and genome evolution.

Indexed as

AscomycotaChromosomes, FungalDNA Transposable ElementsGenome, FungalMolecular Sequence AnnotationPoint MutationTandem Repeat SequencesTelomereTriticumDNA Transposable Elements

Identifiers

PMID25519841
PMCPMC4522978
OpenAlexW1782853088

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.