Evidence map›Paper›PMID 35416715›Full record

ArticleMicrobiology spectrum2022

Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations.

Chengfeng Yang, Qinzhi Su, Min Tang, Shiqi Luo, Hao Zheng, Xue Zhang, Xin Zhou

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Chengfeng YangCollege of Food Science and Nutritional Engineering, China Agricultural Universitygrid.22935.3f, Beijing, China.
Qinzhi SuCollege of Food Science and Nutritional Engineering, China Agricultural Universitygrid.22935.3f, Beijing, China.
Min TangDepartment of Entomology, College of Plant Protection, China Agricultural Universitygrid.22935.3f, Beijing, China.
Shiqi LuoDepartment of Entomology, College of Plant Protection, China Agricultural Universitygrid.22935.3f, Beijing, China.
Hao ZhengCollege of Food Science and Nutritional Engineering, China Agricultural Universitygrid.22935.3f, Beijing, China.ORCID 0000-0003-3313-1675
Xue ZhangDepartment of Entomology, College of Plant Protection, China Agricultural Universitygrid.22935.3f, Beijing, China.ORCID 0000-0003-0940-037X
Xin ZhouDepartment of Entomology, College of Plant Protection, China Agricultural Universitygrid.22935.3f, Beijing, China.ORCID 0000-0002-1407-7952
China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An in-depth understanding of microbial function and the division of ecological niches requires accurate delineation and identification of microbes at a fine taxonomic resolution. Microbial phylotypes are typically defined using a 97% small subunit (16S) rRNA threshold. However, increasing evidence has demonstrated the ubiquitous presence of taxonomic units of distinct functions within phylotypes. These so-called sequence-discrete populations (SDPs) have used to be mainly delineated by disjunct sequence similarity at the whole-genome level. However, gene markers that could accurately identify and quantify SDPs are lacking in microbial community studies. Here, we developed a pipeline to screen single-copy protein-coding genes that could accurately characterize SDP diversity via amplicon sequencing of microbial communities. Fifteen candidate marker genes were evaluated using three criteria (extent of sequence divergence, phylogenetic accuracy, and conservation of primer regions) and the selected genes were subject to test the efficiency in differentiating SDPs within

Indexed as

MicrobiotaAnimalsBacteriaHigh-Throughput Nucleotide SequencingMetagenomicsPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S16S16S V4 regionGilliamellametagenomicsmicrobiotaquantificationSDP

Identifiers

PMID35416715
PMCPMC9045262
OpenAlexW4226225577

What OpenQuestion holds

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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.