Evidence map›Paper›PMID 41073803›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2025

Genomic scans for diversity and selection signatures in Indian Red Sindhi cattle.

Sonali Sonejita Nayak, Manjit Panigrahi, Divya Rajawat, Sarada Prasanna Sahoo, Triveni Dutt

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Assessment of genome-wide genetic variability and population divergence of four native Turkish sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    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

5 authors.

Sonali Sonejita NayakDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, UP, 243122, India.
Manjit PanigrahiDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, UP, 243122, India. manjit.panigrahi@icar.org.in.
Divya RajawatDivision of Animal Genetics, Indian Veterinary Research Institute, Izatnagar, Bareilly, UP, 243122, India.
Sarada Prasanna SahooCentral Cattle Breeding Farm, Chiplima, Sambalpur, Odisha, 768026, India.
Triveni DuttLivestock Production and Management Section, Indian Veterinary Research Institute, Izatnagar, Bareilly, UP, 243122, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red Sindhi cattle, a distinguished dairy breed from India, are famous for their resilience in tropical climates and exceptional milk yield. This study utilized double digest restriction site-associated DNA sequencing (ddRADseq) across 96 individuals to explore genome-wide diversity and uncover signatures of selection. The analysis revealed a high proportion of polymorphic SNPs (0.956), moderate nucleotide diversity (π = 0.215 ± 0.114), and a low minor allele frequency (MAF = 0.149 ± 0.128). The analysis of Red Sindhi data showed a steep decline in effective population size (Ne) from 2387 to 125.9 over 13 generations, implying potential bottlenecks and underscoring the urgency of conservation efforts. Employing Tajima's D, composite likelihood ratio (CLR), integrated haplotype score (iHS), and runs of homozygosity (ROH) methods, we identified 490 genomic regions under positive selection, encompassing 1282 genes and aligning with 574 quantitative trait loci (QTLs). Functional annotations highlighted several genes linked to reproduction (RHOU, MND1), production (DOK6, NPFFR2), immune response (BOLA-DYA and BOLA-DMB), and environmental adaptation (HSPA14, NOD2, GCLC, and RPS19BP1). Several MHC class II genes under selection pressure indicate robust immune competence, while stress-response genes supported Red Sindhi's remarkable tolerance to extreme heat. These findings show the breed's strong adaptability and disease resilience, underlining its importance as a valuable genetic resource for improving livestock in challenging environments.

Indexed as

Genetic VariationSelection, GeneticAnimalsBreedingCattleGene FrequencyGenomeGenomicsHaplotypesIndiaPolymorphism, Single NucleotideQuantitative Trait LociCattleddRADseqEvolutionGenetic diversityRed SindhiSelection signatures

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Registered trials

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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.