Evidence map›Paper›PMID 27445368›Full record

ArticleGenome announcements2016

Complete Genome Sequence of Highly Virulent Haemophilus parasuis Serotype 11 Strain SC1401.

Ke Dai, Jin Jin, Yiping Wen, Xintian Wen, Lvqin He, Sanjie Cao, Xiaobo Huang, Rui Wu, Qin Zhao

Open access · diamondAbstract read
In one paragraph

Article in Genome announcements, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Basic Characterization of Natural Transformation in a Highly TransformableFrontiers in cellular and infection microbiology · 2018
    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

9 authors at 1 institution in 1 country.

Ke DaiResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Jin JinResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Yiping WenResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China yueliang5189@163.com.
Xintian WenResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Lvqin HeResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Sanjie CaoResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Xiaobo HuangResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Rui WuResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Qin ZhaoResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemophilus parasuis, a normal Gram-negative bacterium, may cause Glässer's disease and pneumonia in pigs. This study aims to identify the genes related to natural competence of the serotype 11 strain SC1401, which frequently shows competence and high pathogenicity. SC1401 shows many differences from strains without natural competence within the molecular basis. We performed complete genome sequencing together with restriction modification system analysis to lay the foundation for later study.

Identifiers

PMID27445368
PMCPMC4956441
OpenAlexW2500261702

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.