Landscape genomics analysis reveals the genetic basis underlying cashmere goats and dairy goats adaptation to frigid environments
Jianqing Zhao , Weiwei Yao , Qingqing Liu , Ping Gong , Yuanpan Mu , Wei Wang , Baolong Liu , Cong Li , Hengbo Shi , Jun Luo
Stress Biology ›› 2025, Vol. 5 ›› Issue (1) : 56
Landscape genomics analysis reveals the genetic basis underlying cashmere goats and dairy goats adaptation to frigid environments
Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated. By integrating multiple approaches such as phylogenetic analysis, population structure analysis, gene flow and population history exploration, selection signal analysis, and genome-environment association analysis, an in-depth investigation was carried out. Phylogenetic analysis unraveled the genetic relationships and differentiation patterns among dairy goats and other goat breeds. Through signal analysis (θπ, FST, XP-CLR), we identified numerous candidate genes associated with cold adaptation in dairy goats (STRIP1, ALX3, HTR4, NTRK2, MRPL11, PELI3, DPP3, BBS1) and cashmere goats (MED12L, MARC2, MARC1, DSG3, C6H4orf22, CHD7, MYPN, KIAA0825, MITF). Genome-environment association (GEA) analysis confirmed the link between these genes and environmental factors. Moreover, a detailed analysis of the critical genes C6H4orf22 and STRIP1 demonstrated their significant roles in the geographical variations of cold adaptation and allele frequency differences among different breeds. This study contributes to understanding the genetic basis of cold adaptation, providing crucial theoretical support for precision breeding programs aimed at improving production performance in cold regions by leveraging adaptive alleles, thereby ensuring sustainable animal husbandry.
Genome-environment association / Environmental adaptation / Frigid environments / Whole genome resequencing / Select signal analysis
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
Danecek, P., Auton, A., Abecasis, G., Albers, C.A., Banks, E., DePristo, M.A., Handsaker, R.E., Lunter, G., Marth, G.T., Sherry, S.T., McVean, G., Durbin, R., 1000 Genomes Project Analysis Group. The variant call format and VCFtools. Bioinformatics, 2011, 27: 2156-2158. |
| [15] |
|
| [16] |
|
| [17] |
Li C, Cao H, Ren Y, Jia J, Yang G, Jin J, Shi X (2024) Eicosapentaenoic acid-mediated activation of PGAM2 regulates skeletal muscle growth and development via the PI3K/AKT pathway. Int J Biol Macromol 268:131547. https://doi.org/10.1016/j.ijbiomac.2024.131547 |
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
Habeeb, A.A., Osman, S.F., Teama, F.E.I., Gad, A.E.. The detrimental impact of high environmental temperature on physiological response, growth, milk production, and reproductive efficiency of ruminants. Trop Anim Health Prod, 2023, 55388. |
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., 1000 Genome Project Data Processing Subgroup. The Sequence Alignment/Map format and SAMtools. Bioinformatics, 2009, 25: 2078-2079. |
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
Ma Y, Zhu S, Lv T, Gu X, Feng H, Zhen J, Xin W, Wan Q (2020) SQSTM1/p62 Controls mtDNA Expression and Participates in Mitochondrial Energetic Adaption via MRPL12. iScience 23. https://doi.org/10.1016/j.isci.2020.101428 |
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
Teixeira IAMA, Härter CJ, Vargas JAC, Souza AP, Fernandes MHMR (2024) Review: Update of nutritional requirements of goats for growth and pregnancy in hot environments. Animal 18 Suppl 2:101219. https://doi.org/10.1016/j.animal.2024.101219 |
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
|
| [76] |
|
| [77] |
|
| [78] |
Ye P, Duan W, Leng YQ, Wang YK, Tan X, Wang WZ (2022) DPP3: From biomarker to therapeutic target of cardiovascular diseases. Front Cardiovasc Med 9. https://doi.org/10.3389/fcvm.2022.974035 |
| [79] |
|
| [80] |
|
| [81] |
|
| [82] |
Zhao J, Mu Y, Gong P, Liu B, Zhang F, Zhu L, Shi C, Lv X, Luo J (2024) Whole-genome resequencing of native and imported dairy goat identifies genes associated with productivity and immunity. Front Vet Sci 11. https://doi.org/10.3389/fvets.2024.1409282 |
| [83] |
|
| [84] |
|
The Author(s)
/
| 〈 |
|
〉 |