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Should the Identification Guidelines for Siamese Crocodiles Be Revised? Differing Post-Occipital Scute Scale Numbers Show Phenotypic Variation Does Not Result from Hybridization with Saltwater Crocodiles.

Nattakan AriyaraphongWongsathit WongloetPish WattanadilokchatkunThitipong PanthumWorapong SingchatThanyapat ThongArtem LisachovSyed Farhan AhmadNarongrit MuangmaiKyudong HanPrateep DuengkaeYosapong TemsiripongKornsorn Srikulnath
Published in: Biology (2023)
Populations of Siamese crocodiles ( Crocodylus siamensis ) have severely declined because of hunting and habitat fragmentation, necessitating a reintroduction plan involving commercial captive-bred populations. However, hybridization between Siamese and saltwater crocodiles ( C. porosus ) has occurred in captivity. Siamese crocodiles commonly have post-occipital scutes (P.O.) with 4-6 scales, but 2-6 P.O. scales were found in captives on Thai farms. Here, the genetic diversity and population structure of Siamese crocodiles with large P.O. variations and saltwater crocodiles were analyzed using mitochondrial DNA D-loop and microsatellite genotyping. Possible crocodile hybrids or phenotypic variations were ascertained by comparison with our previous library from the Siam Crocodile Bioresource Project. Siamese crocodiles with <4 P.O. scales in a row exhibit normal species-level phenotypic variation. This evidence encourages the revised description of Siamese crocodiles. Moreover, the STRUCTURE plot revealed large distinct gene pools, suggesting crocodiles in each farm were derived from distinct lineages. However, combining both genetic approaches provides evidence of introgression for several individual crocodiles, suggesting possible hybridization between Siamese and saltwater crocodiles. We proposed a schematic protocol with patterns observed in phenotypic and molecular data to screen hybrids. Identifying non-hybrid and hybrid individuals is important for long-term in situ/ex situ conservation.
Keyphrases
  • genetic diversity
  • mitochondrial dna
  • copy number
  • genome wide
  • single molecule
  • randomized controlled trial
  • climate change
  • transcription factor
  • deep learning
  • dna methylation
  • big data