Acknowledgement
This study was supported by the National Key Research and Development Program of China (NO. 2018YFD0500401), Key Program of Yunnan province Natural Science Foundation of China (NO. 2018FA021) and Nature Science Foundation of China (NOs. U1802234 and 31760645).
References
- Clemente JC, Ursell LK, Parfrey LW, Knight R. The impact of the gut microbiota on human health: an integrative view. Cell 2012;148:1258-70. https://doi.org/10.1016/j.cell.2012.01.035
- Li Z, Wright AG, Si H, et al. Changes in the rumen microbiome and metabolites reveal the effect of host genetics on hybrid crosses. Environ Microbiol Rep 2016;8:1016-23. https://doi.org/10.1111/1758-2229.12482
- Yang H, Xiao Y, Wang J, et al. Core gut microbiota in Jinhua pigs and its correlation with strain, farm and weaning age. J Microbiol 2018;56:346-55. https://doi.org/10.1007/s12275-018-7486-8
- Pajarillo EA, Chae JP, Balolong MP, Kim HB, Seo KS, Kang DK. Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines. J Microbiol 2014;52:646-51. https://doi.org/10.1007/s12275-014-4270-2
- Diao S, Huang S, Chen Z, et al. Genome-wide signatures of selection detection in three south China indigenous pigs. Genes (Basel) 2019;10:346. https://doi.org/10.3390/genes10050346
- Christensen OF, Legarra A, Lund MS, Su G. Genetic evaluation for three-way crossbreeding. Genet Sel Evol 2015;47:98. https://doi.org/10.1186/s12711-015-0177-6
- Kuhlers DL, Jungst SB, Little JA. An experimental comparison of equivalent terminal and rotational crossbreeding systems in swine: pig performance. J Anim Sci 1994;72:2578-84. https://doi.org/10.2527/1994.72102578x
- Suzuki K, Shibata T, Kadowaki H, Abe H, Toyoshima T. Meat quality comparison of Berkshire, Duroc and crossbred pigs sired by Berkshire and Duroc. Meat Sci 2003;64:35-42. https://doi.org/10.1016/s0309-1740(02)00134-1
- Li X, Cao Z, Yang Y, et al. Correlation between jejunal microbial diversity and muscle fatty acids deposition in broilers reared at different ambient temperatures. Sci Rep 2019;9:11022. https://doi.org/10.1038/s41598-019-47323-0
- Javurek AB, Spollen WG, Ali AM, et al. Discovery of a novel seminal fluid microbiome and influence of estrogen receptor alpha genetic status. Sci Rep 2016;6:23027. https://doi.org/10.1038/srep23027
- Mitteer DR, Greer BD, Fisher WW, Cohrs VL. Teaching behavior technicians to create publication-quality, single-case design graphs in graphpad prism 7. J Appl Behav Anal 2018;51:998-1010. https://doi.org/10.1002/jaba.483
- Tang G, Yang R, Xue J, et al. Optimising a crossbreeding production system using three specialised imported swine breeds in south-western China. Anim Prod Sci 2013;54:999-1007. https://doi.org/10.1071/AN13308
- Ryu YC, Choi YM, Lee SH, et al. Comparing the histochemical characteristics and meat quality traits of different pig breeds. Meat Sci 2008;80:363-9. https://doi.org/10.1016/j.meatsci.2007. 12.020
- Jang D, Yoon J, Taye M, et al. Multivariate genome-wide association studies on tenderness of Berkshire and Duroc pig breeds. Genes Genomics 2018;40:701-5. https://doi.org/10.1007/s13258-018-0672-6
- Suzuki K, Shibata T, Kadowaki H, Abe H, Toyoshima T. Meat quality comparison of Berkshire, Duroc and crossbred pigs sired by Berkshire and Duroc. Meat Sci 2003;64:35-42. https://doi.org/10.1016/s0309-1740(02)00134-1
- Baas TJ, Christian LL, Rothschild MF. Heterosis and recombination effects in Hampshire and Landrace swine: I. Maternal traits. J Anim Sci 1992;70:89-98. https://doi.org/10.2527/1992.70189x
- Godinho RM, Bergsma R, Silva FF, et al. Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs. J Anim Sci 2018;96:817-29. https://doi.org/10.1093/jas/skx011
- Reid G. When microbe meets human. Clin Infect Dis 2004;39:827-30. https://doi.org/10.1086/423387
- Turnbaugh PJ, Ley RE, Mahowald MA, Magrini V, Mardis ER, Gordon JI. An obesity-associated gut microbiome with increased capacity for energy harvest. Nature 2006;444:1027-31. https://doi.org/10.1038/nature05414
- Davenport ER. Elucidating the role of the host genome in shaping microbiome composition. Gut Microbes 2016;7:178-84. https://doi.org/10.1080/19490976.2016.1155022
- Mu C, Bian G, Su Y, Zhu W. Differential effects of breed and nursing on early-life colonic microbiota and immune status as revealed in a cross-fostering piglet model. Appl Environ Microbiol 2019;85:e02510-18. https://doi.org/10.1128/AEM.02510-18
- Wang J, Kalyan S, Steck N, et al. Analysis of intestinal microbiota in hybrid house mice reveals evolutionary divergence in a vertebrate hologenome. Nat Commun 2015;6:6440. https://doi.org/10.1038/ncomms7440
- Crespo-Piazuelo D, Migura-Garcia L, Estelle J, et al. Association between the pig genome and its gut microbiota composition. Sci Rep 2019;9:8791. https://doi.org/10.1038/s41598-019-45066-6
- Kovatcheva-Datchary P, Nilsson A, Akrami R, et al. Dietary Fiber-induced improvement in glucose metabolism is associated with increased abundance of Prevotella. Cell Metab 2015;22:971-82. https://doi.org/10.1016/j.cmet.2015.10.001
- Rampelli S, Schnorr SL, Consolandi C, et al. Metagenome sequencing of the Hadza hunter-gatherer gut microbiota. Curr Biol 2015;25:1682-93. https://doi.org/10.1016/j.cub.2015.04.055
- Macy JM, Ljungdahl LG, Gottschalk G. Pathway of succinate and propionate formation in Bacteroides fragilis. J Bacteriol 1978;134:84-91. https://doi.org/10.1128/JB.134.1.84-91.1978
- Collado MC, Isolauri E, Laitinen K, Salminen S. Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women. Am J Clin Nutr 2008;88:894-9. https://doi.org/10.1093/ajcn/88.4.894
- Hjorth MF, Blaedel T, Bendtsen LQ, et al. Prevotella-to-Bacteroides ratio predicts body weight and fat loss success on 24-week diets varying in macronutrient composition and dietary fiber: results from a post-hoc analysis. Int J Obes 2019;43:149-57. https://doi.org/10.1038/s41366-018-0093-2
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