Evidence map›Paper›PMID 41249202›Full record

ArticleScientific data2025

High-quality genome assemblies of 152 root commensal bacteria from the model legume Lotus japonicus.

Adrián Gómez-Repollés, Eber Villa-Rodríguez, Zuzana Blahovska, Shaun Ferguson, Simona Radutoiu

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

5 authors.

Adrián Gómez-Repollés *Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, Building 1872, DK-8000, Aarhus C, Denmark.
Eber Villa-Rodríguez *Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, Building 1872, DK-8000, Aarhus C, Denmark.
Zuzana BlahovskaDepartment of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, Building 1872, DK-8000, Aarhus C, Denmark.
Shaun FergusonDepartment of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, Building 1872, DK-8000, Aarhus C, Denmark. shafe@arlafoods.com.
Simona RadutoiuDepartment of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, Building 1872, DK-8000, Aarhus C, Denmark. radutoiu@mbg.au.dk.ORCID 0000-0002-8841-1415

Funding

Novo Nordisk Fonden (Novo Nordisk Foundation) NNF19SA0059362
6 · The paper itself

Abstract

Bacterial culture collections represent a valuable tool for mechanistic understanding of microbiome assemblies and are increasingly used to assemble tailored synthetic communities to characterize their microbe-microbe interactions and those with the environment. Given the size of these collections, short-read sequencing is primarily used to capture the encoded genetic information. Whilst sufficient for many microbiome studies, this approach is not amenable for understanding bacterial genome evolution or detailed genetic analyses at the entire genome level. Here we report the assembly of 152 full bacterial genomes from the Lj-SPHERE, the Lotus japonicus collection of root commensals. We performed long-read sequencing using Oxford Nanopore Technology and used this together with pre-existing Illumina sequences to de novo assemble these into high quality genomes with improved contiguity and quality. These genomes now provide a solid platform for detailed, mechanistic understanding of microbiome assembly, dynamics, and evolution in plants.

Indexed as

BacteriaGenome, BacterialLotusMicrobiotaPlant RootsSymbiosis

Identifiers

PMID41249202
PMCPMC12623743

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.