Evidence map›Paper›PMID 38866938›Full record

ArticleNature microbiology2024

Single-cell transcriptomics across 2,534 microbial species reveals functional heterogeneity in the rumen microbiome.

Minghui Jia, Senlin Zhu, Ming-Yuan Xue, Hongyi Chen, Jinghong Xu, Mengdi Song, Yifan Tang, Xiaohan Liu, Ye Tao, Tianyu Zhang and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

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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

13 authors.

Minghui Jia *Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Senlin Zhu *Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Ming-Yuan Xue *Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Hongyi ChenInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Jinghong XuInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Mengdi SongLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0006-2767-4330
Yifan TangInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Xiaohan LiuInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
Ye TaoShanghai Biozeron Biotechnology Company, Shanghai, China.
Tianyu ZhangLiangzhu Laboratory, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0005-9556-8022
Jian-Xin LiuInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-5812-5186
Yongcheng WangLiangzhu Laboratory, Zhejiang University, Hangzhou, China. yongcheng@zju.edu.cn.ORCID http://orcid.org/0000-0003-2820-4243
Hui-Zeng SunInstitute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China. huizeng@zju.edu.cn.ORCID http://orcid.org/0000-0001-5380-6030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering the activity of individual microbes within complex communities and environments remains a challenge. Here we describe the development of microbiome single-cell transcriptomics using droplet-based single-cell RNA sequencing and pangenome-based computational analysis to characterize the functional heterogeneity of the rumen microbiome. We generated a microbial genome database (the Bovine Gastro Microbial Genome Map) as a functional reference map for the construction of a single-cell transcriptomic atlas of the rumen microbiome. The atlas includes 174,531 microbial cells and 2,534 species, of which 172 are core active species grouped into 12 functional clusters. We detected single-cell-level functional roles, including a key role for Basfia succiniciproducens in the carbohydrate metabolic niche of the rumen microbiome. Furthermore, we explored functional heterogeneity and reveal metabolic niche trajectories driven by biofilm formation pathway genes within B. succiniciproducens. Our results provide a resource for studying the rumen microbiome and illustrate the diverse functions of individual microbial cells that drive their ecological niche stability or adaptation within the ecosystem.

Indexed as

RumenSingle-Cell AnalysisTranscriptomeAnimalsBacteriaBiofilmsCattleGastrointestinal MicrobiomeGene Expression ProfilingGenome, BacterialMicrobiotaPhylogeny

Identifiers

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Registered trials

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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.