Evidence map›Paper›PMID 26510422›Full record

ArticleBMC genomics2015

Integration of Ixodes ricinus genome sequencing with transcriptome and proteome annotation of the naïve midgut.

Wibke J Cramaro, Dominique Revets, Oliver E Hunewald, Regina Sinner, Anna L Reye, Claude P Muller

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Genomic signatures of hybridization betweenEcology and evolution · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Mialostatin, a Novel Midgut Cystatin fromInternational journal of molecular sciences · 2021
    Article
  13. Review
  14. Novel Technologies in Studying Brain Immune Response.Oxidative medicine and cellular longevity · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  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

6 authors.

Wibke J CramaroDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. wibke.jochum@LiH.lu.
Dominique RevetsDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. dominique.revets@LiH.lu.
Oliver E HunewaldDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. oliver.hunewald@LiH.lu.
Regina SinnerDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. regina.brunnhoefer@LiH.lu.
Anna L ReyeDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. anna.reye@web.de.
Claude P MullerDepartment of Infection and Immunity, Luxembourg Institute of Health (former Centre de Recherche Public de la Santé)/Laboratoire National de Santé, Luxembourg, Luxembourg. claude.muller@LiH.lu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Europe, Ixodes ricinus ticks are the most important vectors of diseases threatening humans, livestock, wildlife and companion animals. Nevertheless, genomic sequence information is missing and functional annotation of transcripts and proteins is limited. This lack of information is restricting studies of the vector and its interactions with pathogens and hosts. Here we present and integrate the first analysis of the I. ricinus genome with the transcriptome and proteome of the unfed I. ricinus midgut.

methodsWhole genome sequencing was performed on I. ricinus ticks and the sequences were de novo assembled. In parallel, I. ricinus ticks were dissected and the midgut transcriptome sequenced. Both datasets were integrated by transcript discovery analysis to identify putative genes and genome contigs were screened for homology. An alignment-based and a motif-search-based approach were combined for the annotation of the midgut transcriptome. Additionally, midgut proteins were identified and annotated by mass spectrometry with public databases and the in-house built transcriptome database as references and results were cross-validated.

resultsThe de novo assembly of 1 billion DNA sequences to a reference genome of 393 Mb length provides an unprecedented insight into the I. ricinus genome. A homology search revealed sequences in the assembled genome contigs homologous to 89% of the I. scapularis genome scaffolds indicating coverage of most genome regions. We identified moreover 6,415 putative genes. More than 10,000 transcripts from naïve midgut were annotated with respect of predicted function and/or cellular localization. By combining an alignment-based with a motif-search-based annotation approach, we doubled the number of annotations throughout all functional categories. In addition, 574 gel spots were significantly identified by mass spectrometry (p<0.05) and 285 distinct proteins expressed in the naïve midgut were annotated functionally and/or for cellular localization. Our systems approach reveals a midgut metabolism of the unfed tick that is prepared to sense and process an anticipated blood meal.

conclusionsThis multiple-omics study vastly extends the publicly available DNA and RNA databases for I. ricinus, paving the way for further in-depth analysis of the most important European disease vector and its interactions with pathogens and hosts.

Indexed as

ProteomeTranscriptomeAnimalsGenome, InsectHigh-Throughput Nucleotide SequencingIxodesSequence Analysis, DNAProteome

Identifiers

PMID26510422
PMCPMC4625525

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.