Evidence map›Paper›PMID 28887484›Full record

ArticleScientific reports2017

Differential degeneration of the ACTAGT sequence among Salmonella: a reflection of distinct nucleotide amelioration patterns during bacterial divergence.

Le Tang, Emilio Mastriani, Yu-Jie Zhou, Songling Zhu, Xin Fang, Yang-Peng Liu, Wei-Qiao Liu, Yong-Guo Li, Randal N Johnston, Zheng Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 2 institutions in 2 countries.

Le TangSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.
Emilio MastrianiSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.ORCID 0000-0002-5434-2546
Yu-Jie ZhouSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.
Songling ZhuSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.
Xin FangSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.
Yang-Peng LiuSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China.
Wei-Qiao LiuDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.ORCID 0000-0002-0626-6534
Yong-Guo LiDepartment of Infectious Diseases of First Affiliated Hospital, Harbin Medical University, Harbin, China.
Randal N JohnstonDepartment of Biochemistry and Molecular Biology, University of Calgary, Calgary, Canada.
Zheng GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China. guoz@ems.hrbmu.edu.cn.
Gui-Rong LiuSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China. grliu@hrbmu.edu.cn.
Shu-Lin LiuSystemomics Center, College of Pharmacy, and Genomics Research Center (State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), Harbin Medical University, Harbin, China. slliu@hrbmu.edu.cn.
Harbin Medical University · CNUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When bacteria diverge, they need to adapt to the new environments, such as new hosts or different tissues of the same host, by accumulating beneficial genomic variations, but a general scenario is unknown due to the lack of appropriate methods. Here we profiled the ACTAGT sequence and its degenerated forms (i.e., hexa-nucleotide sequences with one of the six nucleotides different from ACTAGT) in Salmonella to estimate the nucleotide amelioration processes of bacterial genomes. ACTAGT was mostly located in coding sequences but was also found in several intergenic regions, with its degenerated forms widely scattered throughout the bacterial genomes. We speculated that the distribution of ACTAGT and its degenerated forms might be lineage-specific as a consequence of different selection pressures imposed on ACTAGT at different genomic locations (in genes or intergenic regions) among different Salmonella lineages. To validate this speculation, we modelled the secondary structures of the ACTAGT-containing sequences conserved across Salmonella and many other enteric bacteria. Compared to ACTAGT at conserved regions, the degenerated forms were distributed throughout the bacterial genomes, with the degeneration patterns being highly similar among bacteria of the same phylogenetic lineage but radically different across different lineages. This finding demonstrates biased amelioration under distinct selection pressures among the bacteria and provides insights into genomic evolution during bacterial divergence.

Indexed as

Genes, BacterialAmino Acid SubstitutionEscherichia coliEvolution, MolecularGenetic VariationGenomicsNucleic Acid ConformationSalmonellaSelection, Genetic

Identifiers

PMID28887484
PMCPMC5591236
OpenAlexW2753052978

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.