Evidence map›Paper›PMID 30658977›Full record

ArticleApplied and environmental microbiology2019

Population Genomics Insights into Adaptive Evolution and Ecological Differentiation in Streptomycetes.

Yisong Li, Adrián A Pinto-Tomás, Xiaoying Rong, Kun Cheng, Minghao Liu, Ying Huang

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Enhancing Antifungal Drug Discovery Through Co-Culture with AntarcticInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Seed-BorneFrontiers in microbiology · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
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 at 2 institutions in 2 countries.

Yisong LiState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Adrián A Pinto-TomásCenter for Research in Cell and Molecular Biology, Center for Research in Microscopic Structures and Biochemistry Department, School of Medicine, University of Costa Rica, San José, Costa Rica.
Xiaoying RongState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Kun ChengState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Minghao LiuState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Ying HuangState Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China huangy@im.ac.cn.ORCID 0000-0002-7559-7070
Chinese Academy of Sciences · CNUniversidad de Costa Rica · CR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the genomic variation that represents microevolutionary processes toward species divergence is key to understanding microbial speciation, which has long been under debate. Streptomycetes are filamentous bacteria that are ubiquitous in nature and the richest source of antibiotics; however, their speciation processes remain unknown. To tackle this issue, we performed a comprehensive population genomics analysis on

Indexed as

EcologyEvolution, MolecularMetagenomicsAdaptation, PhysiologicalAnimalsBiodiversityEcosystemGene FlowGenes, BacterialGenetic VariationGenome-Wide Association StudyGenotypeHomologous RecombinationInsectaMultigene FamilyN-Acetylneuraminic AcidgriseocarninN-Acetylneuraminic AcidOrganic Chemicalsadaptive evolutionecological differentiationpopulation genomicsspeciationstreptomycetes

Identifiers

PMID30658977
PMCPMC6585496
OpenAlexW2909086550

What OpenQuestion holds

Textmetadata
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.