Evidence map›Paper›PMID 23181781›Full record

ArticleBMC genomics2012

Comparative genomics and transcriptomics of trait-gene association.

Sebastián Aguilar Pierlé, Michael J Dark, Dani Dahmen, Guy H Palmer, Kelly A Brayton

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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.

Sebastián Aguilar PierléProgram in Genomics, Department of Veterinary Microbiology and Pathology, Paul G, Allen School for Global Animal Health, Washington State University, Pullman, WA 99164-7040, USA. saguilar@vetmed.wsu.edu
Michael J Dark
Dani Dahmen
Guy H Palmer
Kelly A Brayton
Washington State University · USUniversity of Florida · US

Funding

Infectious Diseases and Microbial Immunology Training ProgramT32AI007025 · NIAID · WASHINGTON STATE UNIVERSITY · PI Thomas H KAWULA, M KARIUKI NJENGA · 1985 to 2026
$7.4M
Antigenic variation in microbial transmissionR37AI044005 · NIAID · WASHINGTON STATE UNIVERSITY · PI PALMER, GUY HUGHES · 2009 to 2018
$3.3M
Antigenic variation in rickettsial transmissionR01AI044005 · NIAID · WASHINGTON STATE UNIVERSITY · PI PALMER, GUY HUGHES · 1999 to 2008
$2.4M
NIAID NIH HHS AI44005NIAID NIH HHS R37 AI044005NIAID NIH HHS T32 AI007025Wellcome Trust GR075800M
6 · The paper itself

Abstract

backgroundThe Order Rickettsiales includes important tick-borne pathogens, from Rickettsia rickettsii, which causes Rocky Mountain spotted fever, to Anaplasma marginale, the most prevalent vector-borne pathogen of cattle. Although most pathogens in this Order are transmitted by arthropod vectors, little is known about the microbial determinants of transmission. A. marginale provides unique tools for studying the determinants of transmission, with multiple strain sequences available that display distinct and reproducible transmission phenotypes. The closed core A. marginale genome suggests that any phenotypic differences are due to single nucleotide polymorphisms (SNPs). We combined DNA/RNA comparative genomic approaches using strains with different tick transmission phenotypes and identified genes that segregate with transmissibility.

resultsComparison of seven strains with different transmission phenotypes generated a list of SNPs affecting 18 genes and nine promoters. Transcriptional analysis found two candidate genes downstream from promoter SNPs that were differentially transcribed. To corroborate the comparative genomics approach we used three RNA-seq platforms to analyze the transcriptomes from two A. marginale strains with different transmission phenotypes. RNA-seq analysis confirmed the comparative genomics data and found 10 additional genes whose transcription between strains with distinct transmission efficiencies was significantly different. Six regions of the genome that contained no annotation were found to be transcriptionally active, and two of these newly identified transcripts were differentially transcribed.

conclusionsThis approach identified 30 genes and two novel transcripts potentially involved in tick transmission. We describe the transcriptome of an obligate intracellular bacterium in depth, while employing massive parallel sequencing to dissect an important trait in bacterial pathogenesis.

Indexed as

PhenotypeAnaplasma marginaleBase SequenceChromosome MappingComputational BiologyGene Expression ProfilingGenes, BacterialGenetic Association StudiesGenomicsHigh-Throughput Nucleotide SequencingMolecular Sequence DataPolymorphism, Single NucleotideReverse Transcriptase Polymerase Chain ReactionSpecies Specificity

Identifiers

PMID23181781
PMCPMC3542260
OpenAlexW2032276769

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.