Evidence map›Paper›PMID 39197009›Full record

ArticlePloS one2024

Mitochondrial DNA control-region and coding-region data highlight geographically structured diversity and post-domestication population dynamics in worldwide donkeys.

Nicola Rambaldi Migliore, Daniele Bigi, Marco Milanesi, Paolo Zambonelli, Riccardo Negrini, Simone Morabito, Andrea Verini-Supplizi, Luigi Liotta, Fatima Chegdani, Saif Agha and 6 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

16 authors.

Nicola Rambaldi MiglioreDipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", University of Pavia, Via A. Ferrata, Pavia, Italy.ORCID 0000-0003-1523-0450
Daniele BigiDipartimento di Scienze e Tecnologie Agro-Alimentari (DISTAL), Alma Mater Studiorum Università di Bologna, Viale Giuseppe Fanin, Bologna, Italy.ORCID 0000-0002-3541-9501
Marco MilanesiDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.
Paolo ZambonelliDipartimento di Scienze e Tecnologie Agro-Alimentari (DISTAL), Alma Mater Studiorum Università di Bologna, Viale Giuseppe Fanin, Bologna, Italy.
Riccardo NegriniDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.
Simone MorabitoDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.ORCID 0009-0001-2586-4636
Andrea Verini-SuppliziDipartimento di Medicina Veterinaria, University of Perugia, Perugia, Italy.
Luigi LiottaDepartment of Veterinary Sciences, University of Messina, V.le Palatucci, Messina, Italy.
Fatima ChegdaniDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.
Saif AghaAnimal Production Department, Faculty of Agriculture, Ain Shams University, Cairo, Egypt.ORCID 0000-0003-3373-146X
Bashir SalimDepartment of Parasitology, Faculty of Veterinary Medicine, University of Khartoum, Khartoum-North, Sudan.
Albano Beja-PereiraCIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
Antonio TorroniDipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", University of Pavia, Via A. Ferrata, Pavia, Italy.ORCID 0000-0002-4163-4478
Paolo Ajmone-MarsanDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.
Alessandro AchilliDipartimento di Biologia e Biotecnologie "Lazzaro Spallanzani", University of Pavia, Via A. Ferrata, Pavia, Italy.
Licia ColliDipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, via Emilia Parmense, Piacenza, Italy.ORCID 0000-0002-7221-2905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Donkeys (Equus asinus) have been used extensively in agriculture and transportations since their domestication, ca. 5000-7000 years ago, but the increased mechanization of the last century has largely spoiled their role as burden animals, particularly in developed countries. Consequently, donkey breeds and population sizes have been declining for decades, and the diversity contributed by autochthonous gene pools has been eroded. Here, we examined coding-region data extracted from 164 complete mitogenomes and 1392 donkey mitochondrial DNA (mtDNA) control-region sequences to (i) assess worldwide diversity, (ii) evaluate geographical patterns of variation, and (iii) provide a new nomenclature of mtDNA haplogroups. The topology of the Maximum Parsimony tree confirmed the two previously identified major clades, i.e. Clades 1 and 2, but also highlighted the occurrence of a deep-diverging lineage within Clade 2 that left a marginal trace in modern donkeys. Thanks to the identification of stable and highly diagnostic coding-region mutational motifs, the two lineages were renamed as haplogroup A and haplogroup B, respectively, to harmonize clade nomenclature with the standard currently adopted for other livestock species. Control-region diversity and population expansion metrics varied considerably between geographical areas but confirmed North-eastern Africa as the likely domestication center. The patterns of geographical distribution of variation analyzed through phylogenetic networks and AMOVA confirmed the co-occurrence of both haplogroups in all sampled populations, while differences at the regional level point to the joint effects of demography, past human migrations and trade following the spread of donkeys out of the domestication center. Despite the strong decline that donkey populations have undergone for decades in many areas of the world, the sizeable mtDNA variability we scored, and the possible identification of a new early radiating lineage further stress the need for an extensive and large-scale characterization of donkey nuclear genome diversity to identify hotspots of variation and aid the conservation of local breeds worldwide.

Indexed as

DNA, MitochondrialEquidaeGenetic VariationHaplotypesPhylogenyPopulation DynamicsAnimalsDomesticationGenome, MitochondrialDNA, Mitochondrial

Identifiers

PMID39197009
PMCPMC11356394

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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.