ArticlePloS one2018
Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect direction meta-analysis of GWAS identifies extreme, prevalent and shared pleiotropy in a large mammal.Communications biology · 2020Pooled it
- Genetic Structure and Selection Signals in Hetian Gray Donkeys and Xinjiang Donkeys from Xinjiang, China.Animals : an open access journal from MDPI · 2026Article
- Genetic Diversity and Selection Signatures of Two North American Corriente Cattle Herds in Northeastern New Mexico, United States.International journal of molecular sciences · 2026Article
- Identification of Genomic Differences Resulting from Selection in Iranian Kurdish and Turkmen Horse Breeds Using Single Nucleotide Polymorphisms.Iranian journal of biotechnology · 2026Article
- Selection index for genetic improvement of beef performance in Huaxi cattle of Xinjiang, China.BMC genomics · 2026Article
- Key genomic regions identified through selection signatures distinguish cattle breeds reared in Sardinia Island.BMC genomics · 2025Article
- Intricate interactions between fine-scale genetic structure, lifestyle, and dietary habits in the Japanese population.Communications biology · 2025Article
- Research on the Historical Dynamics of Baicheng Oil Chicken Populations.Animals : an open access journal from MDPI · 2025Article
- Genetic Diversity, Admixture, and Selection Signatures in a Rarámuri Criollo Cattle Population Introduced to the Southwestern United States.International journal of molecular sciences · 2025Article
- Genomic analysis reveals population structure and selection signatures in plateau dairy cattle.BMC genomics · 2025Article
- Advancing the Indian cattle pangenome: characterizing non-reference sequences in Bos indicus.Journal of animal science and biotechnology · 2025Article
- Selection signatures associated with adaptation in South African Drakensberger, Nguni, and Tuli beef breeds.Tropical animal health and production · 2024Article
- Article
- Genome-wide selection signatures address trait specific candidate genes in cattle indigenous to arid regions of India.Animal biotechnology · 2024Article
- Genetic factors influencing milk and fat yields in tropically adapted dairy cattle: insights from quantitative trait loci analysis and gene associations.Animal bioscience · 2024Article
- Article
- Article
- Genome-wide landscape of runs of homozygosity and differentiation across Egyptian goat breeds.BMC genomics · 2023Article
- Runs of homozygosity and signatures of selection for number of oocytes and embryos in the Gir Indicine cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Article
- Dual-Purpose Cattle Raised in Tropical Conditions: What Are Their Shortcomings in Sound Productive and Reproductive Function?Animals : an open access journal from MDPI · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial selection through its domestication resulted in increased genetic differentiation among the countries in recent years. Over the years, genomic studies in Gir have become more common. However, studies of population structure and signatures of selection in divergent Gir populations are scarce and need more attention to better understand genetic differentiation, gene flow, and genetic distance. Genotypes of 173 animals selected for growth traits and 273 animals selected for milk production were used in this study. Clear genetic differentiation between beef and dairy populations was observed. Different criteria led to genetic divergence and genetic differences in allele frequencies between the two populations. Gene segregation in each population was forced by artificial selection, promoting isolation, and increasing genetic variation between them. Results showed evidence of selective forces in different regions of the genome. A total of 282 genes were detected under selection in the test population based on the fixation index (Fst), integrated haplotype score (iHS), and cross-population extend haplotype homozygosity (XP-EHH) approaches. The QTL mapping identified 35 genes associated with reproduction, milk composition, growth, meat and carcass, health, or body conformation traits. The investigation of genes and pathways showed that quantitative traits associated to fertility, milk production, beef quality, and growth were involved in the process of differentiation of these populations. These results would support further investigations of population structure and differentiation in the Gir breed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.