Phylosymbiosis and Parallel Geographical Patterns in the Gut Microbiota of Desert-Dwelling Amphibians and Reptiles
Wei Zhu , Liming Chang , Chunlin Zhao , Bo Cai , Lulu Sui , Cheng Shen , Hanqi Li , Bin Wang , Jianping Jiang
Integrative Zoology ›› 2026, Vol. 21 ›› Issue (3) : 652 -666.
Variation patterns in gut microbial diversity among host species and populations offer valuable insights into the mechanisms underlying environment–host–microbiome interactions. However, the extent to which host phylogeny and geography drive these variation patterns in animal gut microbiota remains an open question. Amphibians and reptiles are important models to address this issue. Using 194 gut microbial samples of three amphibian and four reptile species inhabiting the Tarim Desert, we demonstrated phylosymbiosis in these animals, which was associated with heterogeneous selection and dispersal limitation. In interpopulation comparisons, Bufotes pewzowi and Teratoscincus przewalskii exhibited geography-dependent variations in their gut microbiota, particularly in relation to longitude and annual precipitation. These geographical patterns were linked to the heterogeneous selection of microbiota. Interestingly, the microbiota of B. pewzowi and T. przewalskii showed parallel variations with longitude, suggesting common selective pressures on amphibian and reptile microbiota. Finally, we found host genetic background did not account for the geographical pattern in their gut microbiota, even though it was also associated with geographical factors. This suggested environment–microbe interaction as a potential and independent ecological pathway mediating the associations between the environment and animals. Overall, these findings extend our understanding of variation patterns in gut microbiota and shed light on the underlying mechanisms.
biogeography / climatic factors / community assembly / diversity / host genetics / parallelism
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
National Research Council (US) Committee for the Update of the Guide for the Care and Use of Laboratory Animals. 2011. Guide for the Care and Use of Laboratory Animals, 8th ed. Washington (DC): National Academies Press. |
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
R Core Team. 2019. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. |
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
|
| [76] |
|
| [77] |
|
| [78] |
|
| [79] |
|
| [80] |
|
| [81] |
|
| [82] |
|
| [83] |
|
| [84] |
|
| [85] |
|
| [86] |
|
| [87] |
|
| [88] |
|
| [89] |
|
| [90] |
|
| [91] |
|
| [92] |
|
| [93] |
|
| [94] |
|
2025 The Author(s). Integrative Zoology published by International Society of Zoological Sciences, Institute of Zoology/Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.
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