Phylogeographic Analysis Suggests a Recent Population Bottleneck in the Rare Red Sea Tridacna squamosina

Kah Kheng Lim, Susann Rossbach, Nathan Geraldi, Ester A. Serrão, Carlos M. Duarte

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Giant clams are an important ecological component of coral reefs in the Red Sea, as they enhance the reef’s productivity and provide habitat that can increase diversity. Three species of giant clams, namely Tridacna maxima, T. squamosa, and T. squamosina have been described within the Red Sea. However, due to its scarcity, information about the distribution and ecology of T. squamosina in the Saudi Arabian Red Sea is still lacking. This study used DNA barcoding to confirm the identity of the rare T. squamosina in the Farasan Banks. Six mtCOI fragments (500 bp) of T. squamosina were successfully amplified using the SQUA-primers for the first time. We used our data along with 18 reference sequences (16S) from the online database to assess the genetic diversity and population structure of T. squamosina. Low genetic diversity among the T. squamosina populations inferred from the 16S sequences implies a recent bottleneck for this species, which is supported by their historically higher diversity based on the coalescent-based estimator. Given the small population abundance and limited genetic variation of T. squamosina, it may warrant immediate local protections such as biobanking and fertility preservation programs as well as effective integrated coastal zone management plans.
Original languageEnglish (US)
JournalFrontiers in Marine Science
Volume8
DOIs
StatePublished - Feb 10 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-03-26
Acknowledged KAUST grant number(s): BAS/1/1071-01-01
Acknowledgements: We would like to thank the KAUST BioScience Core Lab for sequence data generation and Felix Ivo Rossbach for assistance with field work. KL acknowledges support from the IMBRSea MSs program. ES acknowledges fellowships from FCT under grant (SFRH/BSAB/150485/2019) and Pew Marine. Funding. This work was funded by King Abdullah University of Science and Technology (KAUST), through baseline funding to CD (BAS/1/1071-01-01).

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