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Gudra D, Valdovska A, Jonkus D, Kairisa D, Galina D, Ustinova M, Viksne K, Fridmanis D, Kalnina I. Genetic characterization of the Latvian local goat breed and genetic traits associated with somatic cell count. Animal 2024; 18:101154. [PMID: 38703755 DOI: 10.1016/j.animal.2024.101154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 03/27/2024] [Accepted: 04/04/2024] [Indexed: 05/06/2024] Open
Abstract
The Latvian local goat (LVK) breed represents the only native domestic goat breed in Latvia, but its limited population places it within the endangered category. However, the LVK breed has not yet undergone a comprehensive genetic characterization. Therefore, we completed whole genome sequencing to reveal the genetic foundation of the LVK breed while identifying genetic traits linked to the somatic cell count (SCC) levels. The study included 40 genomes of LVK goats sequenced to acquire at least 35x or 10x coverage. A Principal component analysis, a genetic distance tree, and an admixture analysis showed LVK's similarity to some European breeds, such as Finnish Landrace, Alpine, and Saanen, which aligns with the breed's history. An analysis of genome-wide heterozygosity, nucleotide diversity, and LD analysis indicated that the LVK population exhibits substantial levels of genetic diversity. LVK genome was dominated by short runs of homozygosity (ROHs, ≤ 500 kb) with a median length of 25 kb. With FROH 2.49%, average inbreeding levels were low; however, FROH ranged broadly from 0.13 to 12.2%. With the exception of one pure-blood breeding buck exhibiting FROH of 9.3% and FSNP of 8.5%, animals with at least 66% LVK ancestry showed moderate or no inbreeding. Overall, this study demonstrated that the LVK goats can be differentiated from imported breeds, although the population has a complex genetic structure. We were able to identify potential genetic traits associated with SCC levels, although the kinship of the animals and the heterogenic substructure of the population might have largely influenced the association analysis. We identified 26 genetic variants associated with SCC levels, which included the potentially relevant SNP rs662053371 in the OSBPL8 gene, indicating a potential signal linked to lipid metabolism in goats. To conclude, these findings present valuable insight into the genetic structure of the LVK breed for the conservation of local genetic resources.
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Affiliation(s)
- D Gudra
- Human Genetics and Disease Mechanisms Department, Latvian Biomedical Research and Study Centre, Rātsupītes iela 1 K-1, LV-1067 Riga, Latvia
| | - A Valdovska
- Faculty of Veterinary Medicine, Latvia University of Life Sciences and Technologies, Helmana iela 8 K, LV-3004 Jelgava, Latvia; Scientific Laboratory of Biotechnology, Latvia University of Life Sciences and Technologies, Lielā iela 2, LV-3001 Jelgava, Latvia.
| | - D Jonkus
- Faculty of Agriculture, Latvia University of Life Sciences and Technologies, Lielā iela 2, LV-3001 Jelgava, Latvia
| | - D Kairisa
- Faculty of Agriculture, Latvia University of Life Sciences and Technologies, Lielā iela 2, LV-3001 Jelgava, Latvia
| | - D Galina
- Faculty of Veterinary Medicine, Latvia University of Life Sciences and Technologies, Helmana iela 8 K, LV-3004 Jelgava, Latvia; Scientific Laboratory of Biotechnology, Latvia University of Life Sciences and Technologies, Lielā iela 2, LV-3001 Jelgava, Latvia
| | - M Ustinova
- Human Genetics and Disease Mechanisms Department, Latvian Biomedical Research and Study Centre, Rātsupītes iela 1 K-1, LV-1067 Riga, Latvia
| | - K Viksne
- Human Genetics and Disease Mechanisms Department, Latvian Biomedical Research and Study Centre, Rātsupītes iela 1 K-1, LV-1067 Riga, Latvia
| | - D Fridmanis
- Human Genetics and Disease Mechanisms Department, Latvian Biomedical Research and Study Centre, Rātsupītes iela 1 K-1, LV-1067 Riga, Latvia
| | - I Kalnina
- Human Genetics and Disease Mechanisms Department, Latvian Biomedical Research and Study Centre, Rātsupītes iela 1 K-1, LV-1067 Riga, Latvia
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Liang X, Di F, Wei H, Liu N, Chen C, Wang X, Sun M, Zhang M, Li M, Zhang J, Zhang S. Functional identification of long non-coding RNAs induced by PM 2.5 in microglia through microarray analysis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 273:116136. [PMID: 38387142 DOI: 10.1016/j.ecoenv.2024.116136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 02/24/2024]
Abstract
As a dominating air pollutant, atmospheric fine particulate matter within 2.5 μm in diameter (PM2.5) has attracted increasing attention from the researchers all over the world, which will lead to various adverse effects on the central nervous system (CNS), yet the potential mechanism is unclear. In this study, the microglia (BV2 cell line) were exposed to different concentrations of PM2.5 (5, 10 and 20 μg/cm2) for 24 h. It was found that PM2.5 could result in adverse effects on microglia such as decreased cell viability, structural damage and even cell death. And it was reported that long non-coding RNAs (lncRNAs) could participate in multitudinous neurological diseases. Therefore, the microarray analysis was conducted in order to disclose the underlying neurotoxicity mechanism of PM2.5 by ascertaining the differentially expressed lncRNAs (DElncRNAs). The consequences indicated that the DElncRNAs were enriched in various biological pathways, including ferroptosis, IL-17 signaling pathway and NOD-like receptor signaling pathway. Moreover, the cis- and trans-regulated mRNAs by DElncRNAs as well as the corresponding transcriptional factors (TFs) were observed, such as CEBPA, MYC, MEIS1 and KLF4. In summary, our study supplies some candidate libraries and potential preventive target against PM2.5-induced toxicity through targeting lncRNAs. Furthermore, the post-transcriptional regulation will contribute to the future research on PM2.5-induced neurotoxicity.
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Affiliation(s)
- Xue Liang
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China.
| | - Fanglin Di
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Haiyun Wei
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Natong Liu
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Chao Chen
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Xinzhi Wang
- School of Public Health, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Meng Sun
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong 250014, China
| | - Min Zhang
- Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Meng Li
- Department of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong 250014, China
| | - Jie Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
| | - Shuping Zhang
- Medical Science and Technology Innovation Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China; Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, Shandong 250117, China
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