Evidence map›Paper›PMID 42510666›Full record

ArticleBiology2026

Genomic Insights into ANI-dDDH Relationships in

Ting Tang, Wenguang Huang, Huiping Zhong, Ping Mo, Yaxi Zheng, Li Fu, Kaiqin Li, Jian Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ting TangScience and Technology Innovation Team for Efficient Agricultural Production and Deep Processing at General University in Hunan Province, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.
Wenguang HuangScience and Technology Innovation Team for Efficient Agricultural Production and Deep Processing at General University in Hunan Province, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.
Huiping ZhongScience and Technology Innovation Team for Efficient Agricultural Production and Deep Processing at General University in Hunan Province, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.
Ping MoScience and Technology Innovation Team for Efficient Agricultural Production and Deep Processing at General University in Hunan Province, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.
Yaxi ZhengScience and Technology Innovation Team for Efficient Agricultural Production and Deep Processing at General University in Hunan Province, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.
Li FuCollege of Life Sciences, Wuhan University, Wuhan 430072, China.
Kaiqin LiSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.
Jian GaoSchool of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan 411201, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Average nucleotide identity (ANI) values of 95-96% and digital DNA-DNA hybridization (dDDH) values of 70% are currently regarded as the gold standards for bacterial species delineation. However, the accuracy and applicability of ANI thresholds may vary among genera and depend on genome quality. In this study, three genome quality standards were applied to re-evaluate ANI classification thresholds for the genus

Indexed as

ANIANIm/ANIbdDDHNocardiopsis camelliaepolyphasic taxonomy

Identifiers

PMID42510666
PMCPMC13405408

What OpenQuestion holds

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LicenceCC BY
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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.