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Flegontova O, Işıldak U, Yüncü E, Williams MP, Huber CD, Kočí J, Vyazov LA, Changmai P, Flegontov P. Performance of qpAdm-based screens for genetic admixture on admixture-graph-shaped histories and stepping-stone landscapes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2023.04.25.538339. [PMID: 37904998 PMCID: PMC10614728 DOI: 10.1101/2023.04.25.538339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
qpAdm is a statistical tool that is often used for testing large sets of alternative admixture models for a target population. Despite its popularity, qpAdm remains untested on two-dimensional stepping-stone landscapes and in situations with low pre-study odds (low ratio of true to false models). We tested high-throughput qpAdm protocols with typical properties such as number of source combinations per target, model complexity, model feasibility criteria, etc. Those protocols were applied to admixture-graph-shaped and stepping-stone simulated histories sampled randomly or systematically. We demonstrate that false discovery rates of high-throughput qpAdm protocols exceed 50% for many parameter combinations since: 1) pre-study odds are low and fall rapidly with increasing model complexity; 2) complex migration networks violate the assumptions of the method, hence there is poor correlation between qpAdm p-values and model optimality, contributing to low but non-zero false positive rate and low power; 3) although admixture fraction estimates between 0 and 1 are largely restricted to symmetric configurations of sources around a target, a small fraction of asymmetric highly non-optimal models have estimates in the same interval, contributing to the false positive rate. We also re-interpret large sets of qpAdm models from two studies in terms of source-target distance and symmetry and suggest improvements to qpAdm protocols: 1) temporal stratification of targets and proxy sources in the case of admixture-graph-shaped histories; 2) focused exploration of few models for increasing pre-study odds; 3) dense landscape sampling for increasing power and stringent conditions on estimated admixture fractions for decreasing the false positive rate.
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Affiliation(s)
- Olga Flegontova
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Branišovská 1160/31, 370 05, České Budějovice, Czechia
| | - Ulaş Işıldak
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745, Jena, Germany
| | - Eren Yüncü
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Department of Biological Sciences, Middle East Technical University, Üniversiteler Mahallesi, Dumlupınar Bulvarı No: 1, 06800, Çankaya/Ankara, Türkiye
| | - Matthew P. Williams
- Department of Biology, Eberly College of Science, Pennsylvania State University, 168 Curtin Road, University Park, PA 16802, USA
| | - Christian D. Huber
- Department of Biology, Eberly College of Science, Pennsylvania State University, 168 Curtin Road, University Park, PA 16802, USA
| | - Jan Kočí
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Leonid A. Vyazov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Piya Changmai
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
| | - Pavel Flegontov
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Chittussiho 1077/10, 710 00, Ostrava, Czechia
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
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Kong Q, Chen X, Liu Y, Ali F, Idrees A, Ataya FS, Shang Z, Li K. Sodium acetate and sodium butyrate attenuate diarrhea in yak calves by regulating gut microbiota and metabolites. Heliyon 2024; 10:e26564. [PMID: 38439875 PMCID: PMC10909669 DOI: 10.1016/j.heliyon.2024.e26564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 03/06/2024] Open
Abstract
Diarrhea is a severe issue in calves that causes fertility problems and economic issues worldwide. Sodium acetate/sodium butyrate (SA/SB) alleviates diarrhea in mice; however, little information is available about the preventive effect of SA/SB on diarrheic yak calves living on the Tibet plateau. Yak calves (n = 19) of age ≥4 months and weight 37 ± 2 Kg were randomly divided into control (C, n = 10) and supplement groups (S, n = 9). Yaks belonging to the supplement group were given sodium butyrate (10 g/kg) and sodium acetate (5 g/kg) for 28 days, along with normal feed, seasonal grasses, pasture, and water. The blood and fecal samples from yak calves were collected for assessment of antioxidant capacity, inflammatory cytokines, microbiome, and short-chain fatty acids (SCFAs) concentration analysis. Results of this study revealed that a lower diarrhea rate, higher weight, and net weight gain were recorded in yaks belonging to group S supplemented with SA/SB. Similarly, increased antioxidant capacity with higher levels of T-AOC, SOD, and GSH-px and decreased inflammatory reactions by decreasing both TNF-α and IL-1β concentrations were recorded in yaks of group S. The concentration of SCFAs was significantly higher (p < 0.05) in yaks from group S than group C. Microbiome analysis revealed that 8 phyla and 54 genera were significantly different (p < 0.05) in both yak groups, with increased probiotics (Akkermansia, Oscillospira), SCFAs producing genera (Oscillospira, ASF356, Anaerosporobacter and Phascolarctobacterium), and decreased inflammatory related genus (Flavonifractor, Fournierella) and harmful bacteria (Oscillibacter, Achromobacter) in group S. In conclusion, the results demonstrated that SA and SB could decrease diarrhea rates in yak calves on the plateau via increasing antioxidant ability and SCFAs, while decreasing inflammatory responses in yaks by moderating gut microbiota. The current results provide new insights for the prevention and treatment of diarrhea in yaks.
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Affiliation(s)
- Qinghui Kong
- Key Laboratory of Clinical Veterinary Medicine in Tibet, Tibet Agriculture and Animal Husbandry College, Linzhi, 860000, Tibet, China
| | - Xiushuang Chen
- Institute of Traditional Chinese Veterinary Medicine, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yang Liu
- Institute of Animal Husbandry and Veterinary Medicine, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, 850000, China
| | - Farah Ali
- Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, 63100, Pakistan
| | - Asif Idrees
- KBCMA, College of Veterinary and Animal Sciences, Narowal, Pakistan
| | - Farid Shokry Ataya
- Department of Biochemistry, College of Science, King Saud University, PO Box 2455, Riyadh, 11451, Saudi Arabia
| | - Zhenda Shang
- Key Laboratory of Clinical Veterinary Medicine in Tibet, Tibet Agriculture and Animal Husbandry College, Linzhi, 860000, Tibet, China
| | - Kun Li
- Institute of Traditional Chinese Veterinary Medicine, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
- MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, China
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Ren Y, Wang F, Sun R, Zheng X, Liu Y, Lin Y, Hong L, Huang X, Chao Z. The Genetic Selection of HSPD1 and HSPE1 Reduce Inflammation of Liver and Spleen While Restraining the Growth and Development of Skeletal Muscle in Wuzhishan Pigs. Animals (Basel) 2024; 14:174. [PMID: 38200905 PMCID: PMC10777996 DOI: 10.3390/ani14010174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Wuzhishan (WZS) pigs, which are minipigs native to Hainan Province in China, are characterized by strong resistance to extreme hot temperatures and humidity. The relationship between their immune response and growth still needs to be clarified. In this study, we used whole genome sequencing (WGS) to detect variations within 37 WZS pigs, 32 Large White (LW) pigs, and 22 Xiangxi black (XXB) pigs, and ~2.49 GB of SNPs were obtained. These data were combined with those of two other pig breeds, and it was found that most of the genes detected (354) were located within the distinct genetic regions between WZS pigs and LW pigs. The network that was constructed using these genes represented a center including 12 hub genes, five of which had structural variations (SVs) within their regulatory regions. Furthermore, RNA-seq and RT-qPCR data for 12 genes were primarily consistent in liver, spleen, and LDM tissues. Notably, the expression of HSPs (HSPD1 and HSPE1) was higher while that of most genes involved in the JAK3-STAT pathway were lower in liver tissue of WZS pigs, compared with LW pigs. This likely not only reduced inflammation-related immune response but also impaired their growth. Our findings demonstrated the role of HSPs in the connection between inflammation and growth rate, while also providing the fundamental genetic selection of the adaptability of WZS pigs.
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Affiliation(s)
- Yuwei Ren
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Feng Wang
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Ruiping Sun
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Xinli Zheng
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Yuanyuan Liu
- College of Veterinary Medicine, Xinjiang Agricultural University, Urumqi 830052, China
| | - Yanning Lin
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Lingling Hong
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Xiaoxian Huang
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
| | - Zhe Chao
- Key Laboratory of Tropical Animal Breeding and Disease Research, Institute of Animal Science and Veterinary Medicine, Hainan Academy of Agricultural Sciences, Haikou 571100, China; (Y.R.)
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