Dataset of 111 metagenome-assembled genomes from cattle manure, soil and manured soil samples

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F25%3A00637135" target="_blank" >RIV/60077344:_____/25:00637135 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S2352340925004755?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2352340925004755?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.dib.2025.111748" target="_blank" >10.1016/j.dib.2025.111748</a>

Result language

angličtina

Original language name

Dataset of 111 metagenome-assembled genomes from cattle manure, soil and manured soil samples

Original language description

This data report presents 111 metagenome-assembled genomes (MAGs) reconstructed from manure, soil and manured soil samples from microcosms after enriching for non-fermenting Gram-negative bacteria (NFGNB). Two independent microcosm experiments were conducted to investigate the spread of NFGNB from the fresh manure of dairy cows under antibiotic prophylaxis to the pasture soil of two organic farms. After sampling the microcosms on days 2, 14 and 28, the manure and soil samples were plated in duplicate on CHROMagar Acinetobacter medium for NFGNB enrichment and incubated at 28 degrees C for 24 h. DNA was extracted from the cultures and sequenced using the Illumina NovaSeq 6000 platform with 150-bp paired-end reads. Reads were assembled with metaSPAdes both individually and by co-assembly. MAGs were reconstructed using MetaBAT, MaxBin, SemiBin2, COMEbin, and AVAMB, and then de-replicated at > 95 % ANI (pairwise comparisons) using dRep. A total of 111 MAGs of at least medium quality (MIMAG standard) were obtained. These included 10 high-quality MAGs ( > 90 % completeness, < 5 % contamination, rRNA genes and tRNA for at least 18 amino acids), 47 putative high-quality MAGs ( > 90 % completeness, < 5 % contamination) and 54 medium-quality MAGs ( > 50 % completeness, < 10 % contamination). The FASTA files of the MAGs as well as their taxonomic identifications, completeness and contamination, origin, genomic statistics and rRNA sequences are publicly available in a Zenodo dataset and the genomes in the NCBI database. The majority of MAGs (99) were assigned to Pseudomonadota, mainly Pseudomonas (28 MAGs), Stenotrophomonas (20 MAGs) and Acinetobacter (18 MAGs), while the remaining 12 MAGs belonged to Bacteroidota. Most MAGs (44) were of manure origin, followed by manured soil (38 MAGs) and soil (29 MAGs). High-quality MAGs were predominantly obtained from manure (6 high-quality, 21 putative high-quality), compared to manured soil (3 high-quality, 12 putative high-quality) and soil (1 high-quality, 14 putative high-quality). By providing their MAGs, this dataset offers a valuable resource for researchers investigating the genomic characteristics associated with the survival, environmental dispersal and ecological role of potentially hazardous NFGNB species in soil, particularly following the application of antibiotic-treated animal manure, and for comparative genomics studies in related environments.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10606 - Microbiology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Data in Brief

ISSN

2352-3409

e-ISSN

2352-3409

Volume of the periodical

61

Issue of the periodical within the volume

August

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

11

Pages from-to

111748

UT code for WoS article

001513150000003

EID of the result in the Scopus database

2-s2.0-105008091056