Evidence map›Paper›PMID 42655786›Full record

ReviewVeterinary sciences2026

Microbiome Engineering in Dairy Cattle: A Critical Review of Strategies for Disease Resistance, Productivity, and Sustainable Farming.

Muhammad Shahzaib Ashfaq, Mohamed Tharwat, Sohail Ahmed, Aftab Shaukat, Nourhan Nassar, Samavia Abid, Muhammad Ahmad Abid, Fahad A Alshanbari

Abstract readReview
In one paragraph

Review in Veterinary sciences, 2026. 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

8 authors.

Muhammad Shahzaib AshfaqFaculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu & Kashmir 12350, Pakistan.ORCID 0009-0003-0511-4349
Mohamed TharwatDepartment of Clinical Sciences, College of Veterinary Medicine, Qassim University, P.O. Box 6622, Buraidah 51452, Saudi Arabia.ORCID 0000-0002-3796-9590
Sohail AhmedFaculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu & Kashmir 12350, Pakistan.ORCID 0000-0002-0611-8558
Aftab ShaukatAnimal Science Division, Department of Modern Agriculture, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China.ORCID 0000-0003-1670-6916
Nourhan NassarDepartment of Clinical Pathology, Faculty of Veterinary Medicine, Benha University, Moshtohor 13736, Egypt.
Samavia AbidFaculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu & Kashmir 12350, Pakistan.
Muhammad Ahmad AbidFaculty of Veterinary and Animal Sciences, University of Poonch Rawalakot, Azad Jammu & Kashmir 12350, Pakistan.
Fahad A AlshanbariDepartment of Medical Biosciences, College of Veterinary Medicine, Qassim University, P.O. Box 6622, Buraidah 51452, Saudi Arabia.ORCID 0000-0001-7267-4301

Funding

Qassim University QU-APC-2026
6 · The paper itself

Abstract

Dairy production currently faces three converging challenges: the escalation of antimicrobial resistance (AMR), rising global food demand, and stricter regulatory requirements for reducing enteric methane emissions. This review evaluates probiotics, prebiotics, fecal microbiota transplantation (FMT), metagenomic tools, and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based synthetic biology for dairy cow microbiome engineering, applying a Technology Readiness Level (TRL) 1-9 framework to assess the translational maturity of each strategy. The quantitative ranges below are from individual controlled or field studies unless indicated otherwise, and they represent the variation from study to study in different breeds, feeds, and stages of lactation, as well as in management systems. A systematic literature search was conducted across five major databases for the period 2020-2026. Applying the TRL framework revealed that conventional probiotics have reached field-ready maturity (TRL 7-8), boosting milk yield by 0.5-1.5 kg/d and lowering somatic cell counts by 20-40%. Calf gut maturation was found to be two to three weeks faster when FMT was used (TRL 5-6). Controlled conditions (TRL 2-3) showed a 10-20% reduction in methane emissions using engineered rumen bacteria (CRISPR). Intervention failures primarily stem from host-microbiome misalignment rather than microbial product design. The key translational gap is shifting from uniform herd-level to precision-guided individualized dosing. Standardized data infrastructure, regulatory frameworks for engineered biologics, and integration with precision livestock farming platforms are required to reduce antibiotic use and lower methane emissions within a One Health framework.

Indexed as

antimicrobial resistanceCRISPRdairy cattlemethane emissionsprobioticsrumen microbiota

Identifiers

PMID42655786
PMCPMC13517236

What OpenQuestion holds

Textmetadata
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.