Evidence map›Paper›PMID 33995500›Full record

ArticleFrontiers in genetics2021

Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle.

Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, Mekki Boussaha, Fabio Pilla, Baldassare Portolano, Salvatore Mastrangelo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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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

9 authors at 7 institutions in 3 countries.

Slim Ben-JemaaLaboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, University of Carthage, Ariana, Tunisia.
Gabriele SenczukDipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy.
Elena CianiDipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, University of Bari "Aldo Moro", Bari, Italy.
Roberta CiampoliniDipartimento di Scienze Veterinarie, University of Pisa, Pisa, Italy.
Gennaro CatilloConsiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Centro di Ricerca Zootecnia e Acquacoltura, Lodi, Italy.
Mekki BoussahaINRAE, AgroParisTech, University of Paris Saclay, Saint Aubin, France.
Fabio PillaDipartimento di Agricoltura, Ambiente e Alimenti, University of Molise, Campobasso, Italy.
Baldassare PortolanoDipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.
Salvatore MastrangeloDipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.
University of Molise · ITUniversity of Palermo · ITAgroParisTech · FRConsiglio per la ricerca in agricoltura e l’analisi dell’economia agraria · ITUniversity of Bari Aldo Moro · ITUniversity of Carthage · TNUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Maremmana cattle is an ancient Podolian-derived Italian breed raised in semi-wild conditions with distinctive morphological and adaptive traits. The aim of this study was to detect potential selection signatures in Maremmana using medium-density single nucleotide polymorphism array. Putative selection signatures were investigated combining three statistical approaches designed to quantify the excess of haplotype homozygosity either within (integrated haplotype score,

Indexed as

candidate genesdiversityenvironmental adaptationlocal cattle breedsselection signatures

Identifiers

PMID33995500
PMCPMC8113768
OpenAlexW3158631545

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.