Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
30 authors.
Chiara ArcuriDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0009-0002-1926-9950
Federica GabbianelliDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0001-9010-0811
Francesca BencivengaDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0009-0007-9405-7110
Gabriella PorcaiDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0009-0003-1223-7697
Daniele PietrucciDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-4233-0839
Ludovica PicaroneDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0009-0008-1120-008X
Giovanni VignaliDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0009-0008-0304-8962
Arianna ManunzaInstitute of Agricultural Biology and Biotechnology, National Research Council, Via Alfonso Corti 12, 20133 Milano, Italy.ORCID 0000-0001-8812-8962
Barbara LazzariInstitute of Agricultural Biology and Biotechnology, National Research Council, Via Alfonso Corti 12, 20133 Milano, Italy.ORCID 0000-0002-9558-914X
Paolo CozziInstitute of Agricultural Biology and Biotechnology, National Research Council, Via Alfonso Corti 12, 20133 Milano, Italy.ORCID 0000-0003-0388-6874
Francesca RizzoLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, via S. Allende snc, 84081 Baronissi, Italy.ORCID 0000-0003-1783-5015
Alessandro WeiszLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, via S. Allende snc, 84081 Baronissi, Italy.ORCID 0000-0003-0455-2083
Marharyta SmalLaboratory of Molecular Medicine and Genomics, Department of Medicine, Surgery and Dentistry 'Scuola Medica Salernitana', University of Salerno, via S. Allende snc, 84081 Baronissi, Italy.
Stefano BiffaniInstitute of Agricultural Biology and Biotechnology, National Research Council, Via Alfonso Corti 12, 20133 Milano, Italy.ORCID 0000-0001-5559-3630
Bianca CastiglioniInstitute of Agricultural Biology and Biotechnology, National Research Council, Via Alfonso Corti 12, 20133 Milano, Italy.ORCID 0000-0003-2326-6701
Giovanni PaolellaCeinge Biotecnologie Avanzate-Franco Salvatore, Via Gaetano Salvatore, 486, 80145 Napoli, Italy.ORCID 0000-0002-1836-5281
Francesco SalvatoreCeinge Biotecnologie Avanzate-Franco Salvatore, Via Gaetano Salvatore, 486, 80145 Napoli, Italy.ORCID 0000-0002-2346-3564
Alessandro RulloNeatec S.p.A., Via Campi Flegrei, 34, 80078 Pozzuoli, Italy.
Salvatore RubinacciNeatec S.p.A., Via Campi Flegrei, 34, 80078 Pozzuoli, Italy.
Gianfranco CosenzaDepartment of Agricultural Sciences, University of Naples Federico II, Piazza Carlo di Borbone, 1, 80055 Portici, Italy.ORCID 0000-0001-6006-4987
Mayra Gómez CarpioAssociazione Nazionale Allevatori Specie Bufalina-ANASB, Via Petrarca, 42-44, 81100 Caserta, Italy.ORCID 0000-0002-3426-2231
Roberta CimminoAssociazione Nazionale Allevatori Specie Bufalina-ANASB, Via Petrarca, 42-44, 81100 Caserta, Italy.ORCID 0000-0002-0146-1787
Gabriele Di VuoloAssociazione Nazionale Allevatori Specie Bufalina-ANASB, Via Petrarca, 42-44, 81100 Caserta, Italy.
Leopoldo IannuzziInstitute of Animal Production System in Mediterranean Environment (ISPAAM), National Research Council (CNR), 80055 Naples, Italy.ORCID 0000-0002-5445-883X
Marco MilanesiDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0001-6244-7455
Giovanni ChillemiDepartment for Innovation in Biological, Agro-Food and Forest Systems-DIBAF, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0003-3901-6926
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Genomic improvement and sustainable breeding of Mediterranean buffalo are hampered by the lack of breed-specific genomic resources compared with bovine. To address this gap, we aimed to identify a comprehensive set of high-confidence single-nucleotide polymorphisms (SNPs) in Mediterranean buffalo and evaluate their informativeness across other buffalo populations. A total of 58 whole-genome sequencing samples, from three different sets, were merged through the integration of short- and long-read sequencing technologies. Variants, both unique and shared among datasets, were identified using a combination of bioinformatic tools to increase the reliability of the dataset. From these, over 11 million high-confidence biallelic SNPs were identified in the Mediterranean breed. The same SNPs were also tested in additional populations (other rivers and swamps) to evaluate their polymorphism and missingness. These results provide a robust genomic resource for Mediterranean buffalo, overcoming the limitations of bovine-derived genotyping tools available today. The identified SNPs dataset lays the basis for the development of a breed-specific SNP array, providing a dense and informative set of markers that could support cost-effective SNP chip development compared with existing arrays and sequencing technologies. This resource will facilitate more accurate genomic selection, precision breeding, and the conservation of genetic diversity in the Mediterranean buffalo population.
Indexed as
biallelic SNP datasetlong-readsMediterranean buffaloONTriver buffaloSNP chipswamp buffaloWGS
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.
Exploring Genomic Variability in the Mediterranean Buffalo Breed: A Step Towards Custom SNP Array. · full record | OpenQuestion