Back

Transcriptome-based genome-wide analysis reveals hybridization dynamics and genetic structure of Japanese giant salamanders

Igawa, T.; Okada, S.; Sera, M.; Takagi, R.; Yamazaki, M.; Shimizu, Z.; Bono, H.; Omori, Y.

2026-05-26 ecology
10.64898/2026.05.26.727823 bioRxiv
Show abstract

AbstractsThe Japanese giant salamander (Andrias japonicus), an apex predator and a Special Natural Monument in Japan, is threatened by hybridization with introduced Chinese giant salamanders (Andrias davidianus). This hybridization has caused genetic introgression and expansion of hybrid populations, posing a serious conservation risk. Because morphological identification of hybrids is occasionally unreliable and current genetic methods rely on limited markers, a genome-wide approach is required. However, the extremely large genome ([~]50 Gb) of giant salamanders has hindered whole-genome analyses. In this study, we conducted transcriptome-based analyses of Japanese giant salamanders, Chinese giant salamanders, and their hybrids, generating RNA-seq data from 34 individuals. A total of over 419,000 SNP candidates were identified, from which 4,457 high-confidence SNPs in highly expressed genes were selected for analysis. Population structure analyses for Nabari colony revealed that hybrid individuals form two major groups, corresponding to different degrees of genetic contribution from Japanese and Chinese lineages. Most hybrids were inferred to be F2 or backcross individuals, while F1 hybrids were rare. Mitochondrial analysis indicated that all hybrids possessed Japanese-type mitochondrial genome, suggesting male-mediated introgression from Chinese salamanders. Differential expression analysis revealed enhanced stress-response pathways in hybrids and stronger antiviral responses in Japanese individuals. Using the axolotl genome as a reference, we constructed a virtual chromosomal map, identifying large haplotype blocks and supporting recent hybridization with limited recombination. This study provides a genome-wide framework for understanding hybridization dynamics and supports future conservation and evolutionary studies.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Molecular Ecology
336 papers in training set
Top 0.2%
21.9%
2
Genome Biology and Evolution
338 papers in training set
Top 0.6%
7.9%
3
Scientific Reports
3612 papers in training set
Top 11%
6.7%
4
Ecology and Evolution
267 papers in training set
Top 1%
5.5%
5
PLOS ONE
5266 papers in training set
Top 28%
5.5%
6
Communications Biology
993 papers in training set
Top 2%
5.5%
50% of probability mass above
7
Journal of Heredity
42 papers in training set
Top 0.1%
5.5%
8
Heredity
64 papers in training set
Top 0.1%
4.3%
9
Molecular Ecology Resources
171 papers in training set
Top 0.6%
3.5%
10
BMC Ecology and Evolution
51 papers in training set
Top 0.2%
2.8%
11
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 3%
2.1%
12
eLife
5828 papers in training set
Top 49%
1.7%
13
Evolutionary Applications
108 papers in training set
Top 0.8%
1.7%
14
Nature Communications
5641 papers in training set
Top 46%
1.7%
15
PeerJ
308 papers in training set
Top 7%
1.3%
16
BMC Biology
265 papers in training set
Top 3%
1.3%
17
iScience
1154 papers in training set
Top 25%
1.1%
18
Frontiers in Ecology and Evolution
69 papers in training set
Top 2%
1.1%
19
BMC Genomics
406 papers in training set
Top 6%
1.1%
20
Journal of Animal Ecology
75 papers in training set
Top 1%
1.1%
21
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 39%
1.0%
22
Science China Life Sciences
29 papers in training set
Top 0.8%
0.6%
23
Global Ecology and Conservation
25 papers in training set
Top 1.0%
0.6%