Yingying Ye. Population genetic structure of molluscs in China based on DNA markers and a preliminary biophysical model. Doctoral Degree(Aquatic Science). Burapha University. Library. : Burapha University, 2015.
Population genetic structure of molluscs in China based on DNA markers and a preliminary biophysical model
Abstract:
Population genetic structure for three marine mollusc species (i.e., Meretrix
meretrix, Macridiscus multifarious and Perna viridis) from China was examined
using mitochondrial and microsatellite DNA data. Collectively, population genetic
structure data of these three species suggested at least three genetic management units
along the coastline of China. These units include (1) Yellow Sea population
(suggested by M. meretrix results), (2) South China Sea population (suggested by
M. meretrix, P. veridis results) and (3) East China Sea population (suggested by
Ma. multifarious results). Microsatellite genetics data for M. meretrix revealed
population homogeneity within Yellow Sea and some substructuring within South
China Sea. On the other hand, both conventional and model-based population genetic
analyses suggested significant genetic divergence between Yellow Sea and South
China Sea regions. For Ma. multifarious, results from mitochondrial DNA data
suggested clear East-South China Sea division. For P. veridis, low level and
insignificant of genetic divergence was observed among samples in South China Sea
based on both microsatellite and mitochondrial DNA data. Within South China Sea,
species with short pelagic larval duration (PLD), M. meretrix and Ma. Multifarious,
had stronger population genetic structure than one with long PLD (P. viridis).
Management actions should aim to protect the integrity of the three management
units.
Compared to P. viridis, effective population size (Ne) estimates, based on
linkage disequilibrium among microsatellite loci, were extremely low for M. meretrix
populations. This finding indicates urgent need for a management action that would
increase Ne for M. meretrix.
This study developed the first biophysical model for estimating larval
dispersal for species with pelagic larvae for South China Sea. The model integrates an
oceanographic model specific to summer current in the South China Sea region and
some life history traits for P. veridis, a species with a long PLD (21-28 days).
Although the model gave a partially accurate prediction for population connectivity
among locations in the open area, it partially disagreed with empirical genetics data in
Beibu Gulf (Beihai, BH). The disagreement can be due to some model parameter
settings.
In this study, microsatellite loci had the highest-resolution for population
genetics study. Mitochondrial DNA COI sequences are also informative. However,
16S rRNA, 12S rRNA and ND1 markers could not reveal genetic differences among
samples, largely because they are in conserved regions of the mitochondrial genome.