Evidence map›Paper›PMID 28981529›Full record

ArticlePloS one2017

Design and validation of a 90K SNP genotyping assay for the water buffalo (Bubalus bubalis).

Daniela Iamartino, Ezequiel L Nicolazzi, Curtis P Van Tassell, James M Reecy, Eric R Fritz-Waters, James E Koltes, Stefano Biffani, Tad S Sonstegard, Steven G Schroeder, Paolo Ajmone-Marsan and 15 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
11.0field-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

44 citing papers in PubMed, 115 citations in OpenAlex.

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  12. Animals : an open access journal from MDPI · 2024
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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

25 authors at 10 institutions in 5 countries.

Daniela IamartinoAIA-LGS Associazione Italiana Allevatori-Laboratorio Genetica e Servizi, Cremona, Italy.ORCID http://orcid.org/0000-0003-1421-6884
Ezequiel L NicolazziBioinformatics core, Parco Tecnologico Padano, Lodi, Italy.
Curtis P Van TassellAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland, United States of America.ORCID http://orcid.org/0000-0002-8416-2087
James M ReecyDepartment of Animal Science, Iowa State University, Ames, IA, United States of America.ORCID http://orcid.org/0000-0003-4602-0990
Eric R Fritz-WatersDepartment of Animal Science, Iowa State University, Ames, IA, United States of America.
James E KoltesDepartment of Animal Science, Iowa State University, Ames, IA, United States of America.
Stefano BiffaniFondazione Parco Tecnologico Padano, Lodi, Italy.
Tad S SonstegardAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland, United States of America.ORCID http://orcid.org/0000-0002-6446-9276
Steven G SchroederAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, Beltsville, Maryland, United States of America.ORCID http://orcid.org/0000-0001-9103-5150
Paolo Ajmone-MarsanInstitute of Zootechnics, Università Cattolica del S. Cuore, Piacenza, Italy.
Riccardo NegriniAIA-LGS Associazione Italiana Allevatori-Laboratorio Genetica e Servizi, Cremona, Italy.
Rolando PasquarielloFondazione Parco Tecnologico Padano, Lodi, Italy.ORCID http://orcid.org/0000-0003-3191-7009
Paola RamelliFondazione Parco Tecnologico Padano, Lodi, Italy.
Angelo ColettaANASB-Associazione Nazionale Allevatori Specie Bufalina, Centurano-Caserta, Italy.ORCID http://orcid.org/0000-0003-3250-5102
José F GarciaUniversidade Estadual Paulista (UNESP), Câmpus de Araçatuba, Sao Paulo, Brazil.
Ahmad AliCOMSATS Institute of Information Technology, Sahiwal, Pakistan.
Luigi RamunnoDipartimento di Scienze Zootecniche ed Ispezione degli Alimenti, Facoltà di Agraria, Università degli Studi di Napoli Federico II, Portici (NA), Italy.
Gianfranco CosenzaDipartimento di Scienze Zootecniche ed Ispezione degli Alimenti, Facoltà di Agraria, Università degli Studi di Napoli Federico II, Portici (NA), Italy.
Denise A A de OliveiraUniversidade Federal De Minas Gerais (UFMG), Belo Horizonte, Brazil.
Marcela G DrummondUniversidade Federal De Minas Gerais (UFMG), Belo Horizonte, Brazil.ORCID http://orcid.org/0000-0003-2369-4466
Eduardo BastianettoUniversidade Federal De Minas Gerais (UFMG), Belo Horizonte, Brazil.
Alessandro DavassiAffymetrix UK Ltd, High Wycombe, United Kingdom.ORCID http://orcid.org/0000-0001-7233-3240
Ali PiraniAffymetrix UK Ltd, High Wycombe, United Kingdom.ORCID http://orcid.org/0000-0003-4543-2424
Fiona BrewAffymetrix UK Ltd, High Wycombe, United Kingdom.
John L WilliamsDavies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, Australia.ORCID http://orcid.org/0000-0001-5188-7957
Parco Tecnologico Padano · ITAgricultural Research Service · USIowa State University · USUniversidade Federal de Minas Gerais · BRUniversità Cattolica del Sacro Cuore · ITUniversity of Naples Federico II · ITANT Foundation Italy Onlus · ITCOMSATS University Islamabad · PKThe University of Adelaide · AUUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe availability of the bovine genome sequence and SNP panels has improved various genomic analyses, from exploring genetic diversity to aiding genetic selection. However, few of the SNP on the bovine chips are polymorphic in buffalo, therefore a panel of single nucleotide DNA markers exclusive for buffalo was necessary for molecular genetic analyses and to develop genomic selection approaches for water buffalo. The creation of a 90K SNP panel for river buffalo and testing in a genome wide association study for milk production is described here.

methodsThe genomes of 73 buffaloes of 4 different breeds were sequenced and aligned against the bovine genome, which facilitated the identification of 22 million of sequence variants among the buffalo genomes. Based on frequencies of variants within and among buffalo breeds, and their distribution across the genome, inferred from the bovine genome sequence, 90,000 putative single nucleotide polymorphisms were selected to create an Axiom® Buffalo Genotyping Array 90K.

resultsThis 90K "SNP-Chip" was tested in several river buffalo populations and found to have ∼70% high quality and polymorphic SNPs. Of the 90K SNPs about 24K were also found to be polymorphic in swamp buffalo. The SNP chip was used to investigate the structure of buffalo populations, and could distinguish buffalo from different farms. A Genome Wide Association Study identified genomic regions on 5 chromosomes putatively involved in milk production.

conclusionThe 90K buffalo SNP chip described here is suitable for the analysis of the genomes of river buffalo breeds, and could be used for genetic diversity studies and potentially as a starting point for genome-assisted selection programmes. This SNP Chip could also be used to analyse swamp buffalo, but many loci are not informative and creation of a revised SNP set specific for swamp buffalo would be advised.

Indexed as

Polymorphism, Single NucleotideAnimalsBuffaloesGenome-Wide Association Study

Identifiers

PMID28981529
PMCPMC5628821
OpenAlexW2762263954

What OpenQuestion holds

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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.