Soil microbiome dataset from Yok Don national park in the Central Highlands region of Vietnam

Abstract

The Central Highlands region contains most of the national parks in Vietnam with different ecosystems, including the national parks of Kon Ka Kinh, Chu Mon Ray, Chu Yang Sin, Yok Don, Bidoup-Nui Ba, and Ta Dung. Thus, this region is considered a center with the highest biodiversity in Vietnam [1] . Among the national parks, Yok Don is unique in its conservation of the dry deciduous dipterocarp forest. Furthermore, Yok Don is the second-largest park in Vietnam; it has the most different ecosystem compared with other national parks in this region [2] . Although some studies have investigated biodiversity preservation in the region, some other studies have only dealt with medicinal plants, lichens, and the rhizospheric bacteria of cultivated black pepper [1 , [3] , [4] , [5] . To the best of our knowledge, no research on the microbial communities in Yok Don national park and in the Central Highlands has been reported. At present, global warming and a decrease in the forest area in the Central Highlands have led to the ongoing reduction in biodiversity and microbial resources. The current study reports the microbiome dataset from the soil sample collected in Yok Don national park. Metagenomic next-generation sequencing was used to characterize the microbial communities in the sample. The metagenome dataset generated provides information on microbial diversity and its functionality and can be useful for further studies on the conservation and use of microbial genetic resources in this region.

Taxonomic and functional profiles of Coffea canephora endophytic microbiome in the Central Highlands region, Vietnam, revealed by analysis of 16S rRNA metagenomics sequence data

“…Library preparation and 16S rRNA metagenomic sequencing were conducted as Tran et al. [6] , [7] , [8] described. Briefly, the V1–V9 regions of the 16S rRNA genes were amplified, and the Swift amplicon 16S plus internal transcribed spacer panel kit (Swift Biosciences, USA) was used to prepare libraries of 16S rRNA gene amplicons.…”

“…Taxonomic and functional profiles of endophytic prokaryotes in the root sample were analyzed using the method described by Tran et al. [6] , [7] , [8] . Briefly, bcl2fastq was used to demultiplex raw basecall files.…”

“…As Tran et al. described previously, the V1–V9 regions of the 16S rRNA genes were amplified [6] , [7] , [8] . Libraries of 16S rRNA gene amplicons were prepared using the Swift amplicon 16S plus ITS panel kit (Swift Biosciences, USA).…”

Metagenomic next-generation sequencing of the microbiome dataset from the surface water sample collected from Serepok River in Yok Don National Park, Vietnam

“…Presently, the decrease in forest area and global warming have led to the continuous reduction in microbial resources in this region. Thus, a dataset of the soil microbiome in this region has been established to explore microbial resources for conservation and further application in sustainable agricultural production in this region [3] ; however, to the best of our knowledge, a dataset of water microbiome remains unknown. This work presented a microbiome dataset from surface water samples collected from Serepok River in Yok Don National Park, Vietnam.…”

“…Libraries of 16S rRNA gene amplicons were prepared using the Swift amplicon 16S plus ITS panel kit (Swift Biosciences, USA). Finally, Illumina MiSeq platform (2 × 150 bp paired ends) was used to sequence the prepared library [3 , 4] . Data source location Institution: Yok Don National Park District/Province/Region: Buon Don, Dak Lak, the Central Highlands Country: Vietnam Latitude and longitude coordinates for collected samples: 12°55′42′′N–107°43′31′′E, 12°55′17′′N–107°46′12′′E, 12°54′31′′N–107°45′47′′E, 12°54′30′′N–107°45′12′′E, 12°54′49′′N–107°44′38′′E, 12°54′14′′N–107°43′31′′E Data accessibility Repository name: the National Center for Biotechnology Information (NCBI) Data identification number: PRJNA853090 Direct URL to data: https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA853090 …”