ArticleAnimals : an open access journal from MDPI2021
Genetic Diversity and Population Structures in Chinese Miniature Pigs Revealed by SINE Retrotransposon Insertion Polymorphisms, a New Type of Genetic Markers.
Article in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Latitude-driven adaptive evolution of body length in diverse pig breeds across China.BMC biology · 2025Article
- Impact of the 294 bp SINE Insertion in 5'UTR of theAnimals : an open access journal from MDPI · 2025Article
- Association analysis of PAEP, KRT10, and BMP7 genes SNPs with reproductive traits in Kele pigs.PloS one · 2025Article
- Population structure and genetic diversity of Mi pigs based on SINE-RIPs.Frontiers in veterinary science · 2025Article
- Construction of the porcine genome mobile element variations and investigation of its role in population diversity and gene expression.Journal of animal science and biotechnology · 2024Article
- Convergent dwarfism consequences of minipigs under independent artificial selections.BMC genomics · 2024Article
- Population genetic analysis based on the polymorphisms mediated by transposons in the genomes of pig.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024Article
- Transferability ofJournal of genetics · 2024Article
- Taming transposable elements in livestock and poultry: a review of their roles and applications.Genetics, selection, evolution : GSE · 2023Review
- Insertion of 643bp Retrotransposon Upstream ofAnimals : an open access journal from MDPI · 2023Article
- Characterization of the Nero Siciliano Pig Fecal Microbiota after a Liquid Whey-Supplemented Diet.Animals : an open access journal from MDPI · 2023Article
- Article
- Genetic Evaluation and Population Structure of Jiangsu Native Pigs in China Revealed by SINE Insertion Polymorphisms.Animals : an open access journal from MDPI · 2022Article
- Identification and functional characterization of the German cockroach, Blattella germanica, short interspersed nuclear elements.PloS one · 2022Article
- A 192 bp ERV fragment insertion in the first intron of porcine TLR6 may act as an enhancer associated with the increased expressions of TLR6 and TLR1.Mobile DNA · 2021Article
- SINE Insertion in the Intron of PigAnimals : an open access journal from MDPI · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
RIPs have been developed as effective genetic markers and popularly applied for genetic analysis in plants, but few reports are available for domestic animals. Here, we established 30 new molecular markers based on the SINE RIPs, and applied them for population genetic analysis in seven Chinese miniature pigs. The data revealed that the closed herd (BM-clo), inbreeding herd (BM-inb) of Bama miniature pigs were distinctly different from the BM-cov herds in the conservation farm, and other miniature pigs (Wuzhishan, Congjiang Xiang, Tibetan, and Mingguang small ear). These later five miniature pig breeds can further be classified into two clades based on a phylogenetic tree: one included BM-cov and Wuzhishan, the other included Congjiang Xiang, Tibetan, and Mingguang small ear, which was well-supported by structure analysis. The polymorphic information contents estimated by using SINE RIPs are lower than the predictions based on microsatellites. Overall, the genetic distances and breed-relationships between these populations revealed by 30 SINE RIPs generally agree with their evolutions and geographic distributions. We demonstrated the potential of SINE RIPs as new genetic markers for genetic monitoring and population structure analysis in pigs, which can even be extended to other livestock animals.
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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.