Evidence map›Paper›PMID 31537825›Full record

ArticleScientific reports2019

Metagenomic deep sequencing reveals association of microbiome signature with functional biases in bovine mastitis.

M Nazmul Hoque, Arif Istiaq, Rebecca A Clement, Munawar Sultana, Keith A Crandall, Amam Zonaed Siddiki, M Anwar Hossain

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
26.2field-weighted citation impact, top 1% of its field
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

103 citing papers in PubMed, 199 citations in OpenAlex.

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  15. Assessment of bacterial diversity in bovine bulk tank milk samples from Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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43 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 4 countries.

M Nazmul HoqueThe Laboratory of Microbial Genetics and Bioinformatics, Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.ORCID http://orcid.org/0000-0002-4861-0030
Arif IstiaqThe Laboratory of Microbial Genetics and Bioinformatics, Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
Rebecca A ClementComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, the George Washington University, Washington, USA.ORCID http://orcid.org/0000-0002-5634-9207
Munawar SultanaThe Laboratory of Microbial Genetics and Bioinformatics, Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh.
Keith A CrandallComputational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, the George Washington University, Washington, USA.ORCID http://orcid.org/0000-0002-0836-3389
Amam Zonaed SiddikiDepartment of Pathology and Parasitology, Chittagong Veterinary and Animal Sciences University, Chittagong-4202, Bangladesh.
M Anwar HossainThe Laboratory of Microbial Genetics and Bioinformatics, Department of Microbiology, University of Dhaka, Dhaka, 1000, Bangladesh. hossaina@du.ac.edu.
University of Dhaka · BDMilken Institute · USChattogram Veterinary and Animal Sciences University · BDUniversidade dos Açores · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Milk microbiomes significantly influence the pathophysiology of bovine mastitis. To assess the association between microbiome diversity and bovine mastitis, we compared the microbiome of clinical mastitis (CM, n = 14) and healthy (H, n = 7) milk samples through deep whole metagenome sequencing (WMS). A total of 483.38 million reads generated from both metagenomes were analyzed through PathoScope (PS) and MG-RAST (MR), and mapped to 380 bacterial, 56 archaeal, and 39 viral genomes. We observed distinct shifts and differences in abundance between the microbiome of CM and H milk in phyla Proteobacteria, Bacteroidetes, Firmicutes and Actinobacteria with an inclusion of 68.04% previously unreported and/or opportunistic strains in CM milk. PS identified 363 and 146 bacterial strains in CM and H milk samples respectively, and MR detected 356 and 251 bacterial genera respectively. Of the identified taxa, 29.51% of strains and 63.80% of genera were shared between both metagenomes. Additionally, 14 archaeal and 14 viral genera were found to be solely associated with CM. Functional annotation of metagenomic sequences identified several metabolic pathways related to bacterial colonization, proliferation, chemotaxis and invasion, immune-diseases, oxidative stress, regulation and cell signaling, phage and prophases, antibiotic and heavy metal resistance that might be associated with CM. Our WMS study provides conclusive data on milk microbiome diversity associated with bovine CM and its role in udder health.

Indexed as

AnimalsArchaeaBacteriaBiodiversityCattleFemaleHigh-Throughput Nucleotide SequencingMammary Glands, AnimalMastitisMastitis, BovineMetagenomeMetagenomicsMicrobiotaMilkPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID31537825
PMCPMC6753130
OpenAlexW2973631681

What OpenQuestion holds

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LicenceCC BY
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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.