Department of Life Sciences, School of Natural Sciences, Central University of Jharkhand, Ranchi, Jharkhand, India.
Physical Sciences and Engineering Division, Kaust Catalysis Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
J Biomol Struct Dyn. 2024;42(21):11483-11494. doi: 10.1080/07391102.2023.2262600. Epub 2023 Sep 28.
The undisturbed environment in Netarhat, with its high levels of accumulated lignocellulosic biomass, presents an opportunity to identify microbes for biomass digestion. This study focuses on the bioprospecting of native soil microbes from the Netarhat forest in Jharkhand, India, with the potential for lignocellulosic substrate digestion. These biocatalysts could help overcome the bottleneck of biomass saccharification and reduce the overall cost of biofuel production, replacing harmful fossil fuels. The study used metagenomic analysis of pine forest soil whole genome shotgun sequencing, revealing that most of the reads matched with the bacterial species, very low percentage of reads (0.1%) belongs to fungal species, with 13% of unclassified reads. Actinobacteria were found to be predominant among the bacterial species. MetaErg annotation identified 11,830 protein family genes and 2 metabolic marker genes in the soil samples. Based on the Carbohydrate Active EnZyme (CAZy) database, 3,996 carbohydrate enzyme families were identified, with family Glycosyl hydrolase (GH) dominating with 1,704 genes. Most observed GH families in the study were GH0, 3, 5, 6. 9, 12. 13, 15, 16, 39, 43, 57, and 97. Modelling analysis of a representative GH 43 gene suggested a strong affinity for cellulose than xylan. This study highlights the lignocellulosic digestion potential of the native microfauna of the lesser-known pine forest of Netarhat.Communicated by Ramaswamy H. Sarma.
在讷尔哈特，未受干扰的环境中积累了大量的木质纤维素生物质，这为寻找能够消化生物质的微生物提供了机会。本研究专注于从印度恰尔康德邦讷尔哈特森林中寻找具有木质纤维素基质消化潜力的本地土壤微生物。这些生物催化剂可以帮助克服生物质糖化的瓶颈，降低生物燃料生产的总成本，取代有害的化石燃料。该研究使用了对松林土壤的宏基因组分析-全基因组鸟枪法测序，结果表明，大多数reads 与细菌物种匹配，真菌物种的 reads 比例非常低（0.1%），未分类的 reads 占 13%。在细菌物种中，放线菌被发现是主要的。MetaErg 注释在土壤样本中鉴定出 11830 个蛋白家族基因和 2 个代谢标记基因。根据碳水化合物活性酶（CAZy）数据库，鉴定出 3996 个碳水化合物酶家族，其中糖苷水解酶（GH）家族占主导地位，有 1704 个基因。在该研究中观察到的大多数 GH 家族是 GH0、3、5、6、9、12、13、15、16、39、43、57 和 97。对代表性 GH43 基因的建模分析表明，它对纤维素的亲和力强于木聚糖。本研究强调了讷尔哈特鲜为人知的小型松林本地微生物群落的木质纤维素消化潜力。由 Ramaswamy H. Sarma 交流。
