Evidence map›Paper›PMID 38664326›Full record

ArticleBiochemical genetics2024

Assessment of Genomic Diversity and Selective Pressures in Crossbred Dairy Cattle of Pakistan.

Fakhar Un Nisa, Rubab Zahra Naqvi, Fazeela Arshad, Iram Ilyas, Muhammad Asif, Imran Amin, Raphael Mrode, Shahid Mansoor, Zahid Mukhtar

Abstract read
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In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 2 institutions in 3 countries.

Fakhar Un NisaAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.ORCID http://orcid.org/0000-0003-0752-3472
Rubab Zahra NaqviAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Fazeela ArshadAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Iram IlyasAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Muhammad AsifAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Imran AminAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.
Raphael MrodeAnimal Biosciences, International Livestock Research Institute, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-1964-5653
Shahid MansoorAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan.ORCID http://orcid.org/0000-0001-7418-1826
Zahid MukhtarAgricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College (NIBGE-C), Faisalabad, 38000, Pakistan. zahidmukhtar@yahoo.com.ORCID http://orcid.org/0000-0003-3424-5113
National Institute for Biotechnology and Genetic Engineering · PKScotland's Rural College · GB

Funding

Pakistan Agricultural Research Council, Agricultural Linkages Programme (ALP) Project # AS 016
6 · The paper itself

Abstract

Improving the low productivity levels of native cattle breeds in smallholder farming systems is a pressing concern in Pakistan. Crossbreeding high milk-yielding holstein friesian (HF) breed with the adaptability and heat tolerance of Sahiwal cattle has resulted in offspring that are well-suited to local conditions and exhibit improved milk yield. The exploration of how desirable traits in crossbred dairy cattle are selected has not yet been investigated. This study aims to provide the first overview of the selective pressures on the genome of crossbred dairy cattle in Pakistan. A total of eighty-one crossbred, thirty-two HF and twenty-four Sahiwal cattle were genotyped, and additional SNP genotype data for HF and Sahiwal were collected from a public database to equate the sample size in each group. Within-breed selection signatures in crossbreds were investigated using the integrated haplotype score. Crossbreds were also compared to each of their parental breeds to discover between-population signatures of selection using two approaches: cross-population extended haplotype homozygosity and fixation index. We identified several overlapping genes associated with production, immunity, and adaptation traits, including U6, TMEM41B, B4GALT7, 5S_rRNA, RBM27, POU4F3, NSD1, PRELID1, RGS14, SLC34A1, TMED9, B4GALT7, OR2AK3, OR2T16, OR2T60, OR2L3, and CTNNA1. Our results suggest that regions responsible for milk traits have generally experienced stronger selective pressure than others.

Indexed as

Selection, GeneticAnimalsBreedingCattleDairyingFemaleGenetic VariationGenomeGenomicsHybridization, GeneticMilkPakistanPolymorphism, Single NucleotideAdmixtureCrossbred dairy cattleFSTIntegrated haplotype score (iHS)PCAXP-EHH

Identifiers

PMID38664326
OpenAlexW4395478348

What Socratic holds

Textmetadata
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.