De novo assembly and analysis of Sonneratia ovata genome and population analysis.

Mangroves are an important part of coastal and estuarine ecosystems where they serve as nurseries for marine species and prevent coastal erosion. Here we report the genome of Sonneratia ovata, which is a true mangrove that grows in estuarine environments and can tolerate moderate salt exposure. We sequenced the S. ovata genome and assembled it into chromosome-level scaffolds through the use of Hi-C. The genome is 212.3 Mb and contains 12 chromosomes that range in size from 12.2 to 23.2 Mb. Annotation identified 29,829 genes with a BUSCO completeness of 95.9%. We identified salt genes and found copy number expansion of salt genes such as ADP-ribosylation factor 1, and elongation factor 1-alpha. Population analysis identified a low level of genetic variation and a lack of population structure within S. ovata.

Assessment of the Genetic Diversity and Population Structure of Rhizophora mucronata along Coastal Areas in Thailand.

Unique and biodiverse, mangrove ecosystems provide humans with benefits and contribute to coastal protection. Rhizophora mucronata, a member of the Rhizophoraceae family, is prevalent in the mangrove forests of Thailand. R. mucronata's population structure and genetic diversity have received scant attention. Here, we sequenced the entire genome of R. mucronata using 10× Genomics technology and obtained an assembly size of 219 Mb with the N50 length of 542,540 bases. Using 2857 single nucleotide polymorphism (SNP) markers, this study investigated the genetic diversity and population structure of 80 R. mucronata accessions obtained from the mangrove forests in Thailand. The genetic diversity of R. mucronata was moderate (I = 0.573, Ho = 0.619, He = 0.391). Two subpopulations were observed and confirmed from both population structure and principal component analysis (PCA). Analysis of molecular variance (AMOVA) showed that there was more variation within populations than between them. Mean pairwise genetic differentiation (FST = 0.09) showed that there was not much genetic difference between populations. Intriguingly, the predominant clustering pattern in the R. mucronata population did not correspond to the Gulf of Thailand and the Andaman Sea, which are separated by the Malay Peninsula. Several factors could have influenced the R. mucronata genetic pattern, such as hybridization and anthropogenic factors. This research will provide important information for the future conservation and management of R. mucronata in Thailand.