Lo Racheal Khai Shyen, Chong Khim Phin
Biotechnology Programme, Faculty of Science and Natural Resources, Universiti Malaysia Sabah, 88400 Jalan UMS, Kota Kinabalu, Sabah, Malaysia.
FGV Chair of Sustainable Oil Palm Management, Faculty of Agriculture, Universiti Malaysia Sabah, Mile 10, Sg. Batang, 90000 Sandakan, Sabah, Malaysia.
Data Brief. 2020 Jul 15;31:106030. doi: 10.1016/j.dib.2020.106030. eCollection 2020 Aug.
The oil palm industry, especially in Indonesia and Malaysia is being threatened by Basal Stem Rot (BSR) disease caused by . There is no conclusive remedy in handling this disease effectively. In this study, metagenomics analysis of soil were analyzed for a better understanding of the microbial diversity in relation to BSR disease. Study was conducted in three plantation sites of Sabah, Malaysia which incorporated different disease management and agronomic practices. The estates are located at Sandakan (Kam Cheong Plantation), Lahad Datu (FGV Ladang Sahabat) and Tawau (Warisan Gagah). Soil samples were collected from disease free, high and low BSR incidence plots. Illumina MiSeq metagenomic analysis using V3-V4 region of 16S rRNA gene was employed to study the microbial diversity. Bacteria (97.4%) and Archaea (0.2%) were found majority in kingdom taxonomy level. The most abundant phyla were , and . Higher alpha diversity of all species was observed among all tested soil from each estates. Beta analysis was analyzed using non phylogenetic UnifRac matrix and visualized using Principal Coordinates Analysis (PCoA). The tested soil samples in Kam Cheong Plantation were found to have similar bacterial communities. The data provided is useful as an indicator in developing biology controls against
油棕产业，尤其是在印度尼西亚和马来西亚，正受到由[未提及的病原体]引起的基部茎腐病（BSR）的威胁。目前尚无有效应对这种疾病的确切补救措施。在本研究中，对土壤进行了宏基因组学分析，以更好地了解与BSR疾病相关的微生物多样性。研究在马来西亚沙巴的三个种植园进行，这些种植园采用了不同的病害管理和农艺措施。这些种植园分别位于山打根（锦昌种植园）、斗湖（联邦土地发展局沙巴达图种植园）和拿笃（华里山加加种植园）。从无病、高BSR发病率和低BSR发病率的地块采集土壤样本。使用16S rRNA基因的V3 - V4区域进行Illumina MiSeq宏基因组分析，以研究微生物多样性。在 kingdom 分类水平上，细菌（97.4%）和古菌（0.2%）占多数。最丰富的门是[未提及的门]、[未提及的门]和[未提及的门]。在每个种植园所有测试土壤中观察到所有物种的较高α多样性。使用非系统发育的UnifRac矩阵进行β分析，并使用主坐标分析（PCoA）进行可视化。发现锦昌种植园的测试土壤样本具有相似的细菌群落。所提供的数据作为开发针对[未提及的目标]的生物防治指标很有用。
