Evidence map›Paper›PMID 40287826›Full record

ArticleNucleic acids research2025

FastAAI: efficient estimation of genome average amino acid identity and phylum-level relationships using tetramers of universal proteins.

Kenji Gerhardt, Carlos A Ruiz-Perez, Luis M Rodriguez-R, Chirag Jain, James M Tiedje, James R Cole, Konstantinos T Konstantinidis

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Kenji GerhardtSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0003-0644-1862
Carlos A Ruiz-PerezSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.
Luis M Rodriguez-RSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID 0000-0001-7603-3093
Chirag JainDepartment of Computational and Data Sciences, Indian Institute of Science, Bengaluru, KA 560012, India.ORCID 0000-0002-4300-0794
James M TiedjeCenter for Microbial Ecology, Michigan State University, East Lansing MI 48824, United States.
James R ColeCenter for Microbial Ecology, Michigan State University, East Lansing MI 48824, United States.
Konstantinos T KonstantinidisSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.

Funding

NSF DBI1356288NSFNSF DBI1356380NSFNSF DBI1759831NSFNSF DBI1759892
6 · The paper itself

Abstract

Estimation of whole-genome relatedness and taxonomic identification are two important bioinformatics tasks in describing environmental or clinical microbiomes. The genome-aggregate Average Nucleotide Identity is routinely used to derive the relatedness of closely related (species level) microbial and viral genomes, but it is not appropriate for more divergent genomes. Average Amino-acid Identity (AAI) can be used in the latter cases, but no current AAI implementation can efficiently compare thousands of genomes. Here we present FastAAI, a tool that estimates whole-genome pairwise relatedness using shared tetramers of universal proteins in a matter of microseconds, providing a speedup of up to 5 orders of magnitude when compared with current methods for calculating AAI or alternative whole-genome metrics. Further, FastAAI resolves distantly related genomes related at the phylum level with comparable accuracy to the phylogeny of ribosomal RNA genes, substantially improving on a known limitation of current AAI implementations. Our analysis of the resulting AAI matrices also indicated that bacterial lineages predominantly evolve gradually, rather than showing bursts of diversification, and that AAI thresholds to define classes, orders, and families are generally elusive. Therefore, FastAAI uniquely expands the toolbox for microbiome analysis and allows it to scale to millions of genomes.

Indexed as

Amino AcidsBacteriaComputational BiologyGenome, BacterialSoftwarePhylogenyAmino Acids

Identifiers

PMID40287826
PMCPMC12034039

What OpenQuestion holds

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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.