Cited by 17Genetic and phenotypic traits in livestockGenetic diversity and population structureGenetic Mapping and Diversity in Plants and Animals

Genomic Insights into the Population History and Adaptive Traits of Latin American Criollo Cattle

Open access
Ward, James A., Ng'ang'a, Said I., Randhawa, Imtiaz A. S., McHugo, Gillian P., O'Grady, John F., Flórez, Julio M., Browne, John A., Pérez O’Brien, Ana M. +6 more·2024·Royal Society Open Science

Published version of a preprint

Abstract

ABSTRACT Criollo cattle, descendants of animals brought by Iberian colonists to the Americas, have been subject to centuries of natural and human-mediated selection in novel tropical agroecological zones. Consequently, these breeds have evolved distinct characteristics such as resistance to disease and exceptional heat tolerance. In addition to European taurine ( Bos taurus ) ancestry, it has been proposed that gene flow from African taurine and Asian indicine ( Bos indicus ) cattle has shaped the ancestry of Criollo cattle. In this study, we analysed Criollo breeds from Colombia and Venezuela using whole-genome sequencing (WGS) and single-nucleotide polymorphism (SNP) array data to examine population structure and admixture at high resolution. Analysis of genetic structure and ancestry components provided evidence for African taurine and Asian indicine admixture in Criollo cattle. In addition, using WGS data, we detected selection signatures associated with a myriad of adaptive traits, revealing genes linked to thermotolerance, reproduction, fertility, immunity, and distinct coat and skin coloration traits. This study underscores the remarkable adaptability of Criollo cattle and highlights the genetic richness and potential of these breeds in the face of climate change, habitat flux, and disease challenges. Further research is warranted to leverage these findings for more effective and sustainable cattle breeding programmes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1098/rsos.231388

Cites

104 of 104 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Brazilian and American breeds such as Creole and Nellore share similar genetic backgrounds with southern European cattle; they carry the T3 and T1 mitochondrial haplogroups and exhibit indicine ancestry.

    “Brazilian and American breeds such as Creole and Nellore share similar genetic backgrounds with southern European cattle. They carry the T3 and T1 mitochondrial haplogroups and exhibit indicine ancestry [54,69,70,71,72,73,74,75].”

    From The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution (2026) · cites this paper as [73]

    The Results (Population differentiation, genetic structure and admixture; page not provided) report that Criollo cattle cluster with Iberian taurine cattle and show varying indicine admixture. The Introduction reports a T1-c mitochondrial haplotype in Criollo cattle. The passages do not establish T3 carriage or extend these findings to Nellore cattle; a search for Nellore and T3 found no supporting passage. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The PRLR gene is linked to the short, sleek coat phenotype and was found to be under selection in Latin American Criollo cattle.

    “The PRLR gene (prolactin receptor), which is linked to the short, sleek coat phenotype, was found to be under selection in Latin American Criollo cattle [73].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 6

  1. [2]Armenteros Martínez I. 2018 The Canary Islands as an area of interconnectivity between the Mediterranean and the Atlantic (fourteenth-sixteenth centuries). In Entre mers—Outre-mer: spaces, modes and agents of Indo-Mediterranean connectivity (eds N Jaspert, S Kolditz), pp. 201– 217, Heidelberg, Germany: Heidelberg University Publishing.
  2. [7]Tobar KMC, Álvarez DC, Franco LA. 2020 Genome-wide association studies in sheep from Latin America. Rev. Mex. Cienc. Pecu. 11. (10.22319/rmcp.v11i3.5372sander) · DOI
  3. [38]Wickham H. 2016 ggplot2: elegant graphics for data analysis. New York, USA: Springer Publishing Company.
  4. [57]Toro RJE. 2020 Evaluación de Herramientas para Desarrollar UN Programa de Mejoramiento Genético en La Raza Blanco Orejinegro (BON). PhD thesis, University of Antioquia, Medellín, Colombia.
  5. [63]Pearson L. 1968 A note on the history of black-eared white cattle. Agric. Hist. Rev. 16, 159– 160.
  6. [70]Landaeta-Hernández A, Zambrano S, Marin N, Moreno Y. 2011 Criollos Latinoamericanos. In Workshop Jornadas de Actualización en Ganadería Tropical pp. 52– 62, Asociación de Ganaderos Alberto Adriani.

Cited by

Sorted by citations

Authors
Ward, J. A., Ng'ang'a, S. I., Randhawa, I. A. S., McHugo, G. P., O'Grady, J. F., Flórez, J. M., Browne, J. A., Pérez O’Brien, A. M., Landaeta-Hernández, A. J., Garcia, J. F., Sonstegard, T. S., Frantz, L. A. F., Salter-Townshend, M., & MacHugh, D. E.
Affiliations
  • University College Dublin (IE)
  • Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University , Munich D-80539, Germany
  • The University of Queensland (AU)
  • Universidade Estadual Paulista (Unesp) (BR)
  • Acceligen , Eagan, MN 55121, USA
  • Universidad del Zulia (VE)
  • Department of Preventive Veterinary Medicine and Animal Reproduction, School of Agricultural and Veterinarian Sciences, São Paulo State University (Unesp) , Jaboticabal, Brazil
  • Queen Mary University of London (GB)
  • School of Mathematics and Statistics, University College Dublin , Dublin D04 V1W8, Ireland
Corresponding author
MacHugh, David E.
Venue
Royal Society Open Science
Published
2024-03
Volume
11
Issue
3
Pages
231388-231388
ISSN
2054-5703 (ISSN-L)
OpenAlex
W4393227597
Cited by
17
References
104
Citations by year
2026: 11 · 2025: 5 · 2024: 1
FWCI
4.49
Type
journal article
Language
en
Open access
Locations
  • Royal Society Open Science (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
Funders
  • Science Foundation Ireland (18/CRT/6214, SFI/15/IA/3154)
  • Department of Agriculture, Food and the Marine, Ireland (17/RD/USROI/52)
  • National Institute of Food and Agriculture (TARGET-TB)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
Criollo cattle, demographic history, admixture, selection signatures, adaptive traits, heat tolerance, disease resistance, immune traits, cattle breeding, Colombia, Venezuela

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review