Bilal Tanveer, Malik Bisma, Hakeem Khalid Rehman
Department of Bioresources, University of Kashmir, Srinagar 190006, India; Department of Bioresources, Amar Singh College, Cluster University of Kashmir, Srinagar 190001, India.
Department of Bioresources, University of Kashmir, Srinagar 190006, India.
J Microbiol Methods. 2018 Dec;155:65-69. doi: 10.1016/j.mimet.2018.11.014. Epub 2018 Nov 16.
Although second generation biofuel technology is a sustainable route for bioethanol production it is not currently a robust technology because of certain hindrances viz., unavailability of potential enzyme resources, low efficiency of enzymes and restricted availability of potent enzymes that work under harsh conditions in industrial processes. Therefore, bioprospecting of extremophilic microorganisms using metagenomics is a promising alternative to discover novel microbes and enzymes with efficient tolerance to unfavourable conditions and thus could revolutionize the energy sector. Metagenomics a recent field in "omics" technology enables the genomic study of uncultured microorganisms with the goal of better understanding microbial dynamics. Metagenomics in conjunction with NextGen Sequencing technology facilitates the sequencing of microbial DNA directly from environmental samples and has expanded, and transformed our knowledge of the microbial world. However, filtering the meaningful information from the millions of genomic sequences offers a serious challenge to bioinformaticians. The current review holds the opinion tool 'know- how' to unravel the secrets of nature while expediting the bio-industrial world. We also discuss the novel biocatalytic agents discovered through metagenomics and how bioengineering plays a pivotal role to enhance their efficiency.
尽管第二代生物燃料技术是生物乙醇生产的可持续途径,但由于某些障碍,即潜在酶资源的不可用、酶的低效率以及在工业过程中在苛刻条件下起作用的强效酶的可用性受限,它目前还不是一项成熟的技术。因此,利用宏基因组学对极端微生物进行生物勘探是发现对不利条件具有高效耐受性的新型微生物和酶的一种有前途的替代方法,从而可能彻底改变能源领域。宏基因组学是“组学”技术中的一个新领域,它能够对未培养微生物进行基因组研究,目的是更好地理解微生物动态。宏基因组学与新一代测序技术相结合,有助于直接从环境样本中对微生物DNA进行测序,并扩展和改变了我们对微生物世界的认识。然而,从数百万个基因组序列中筛选出有意义的信息给生物信息学家带来了严峻挑战。当前的综述认为,该工具是在加速生物工业发展的同时解开自然秘密的“诀窍”。我们还讨论了通过宏基因组学发现的新型生物催化剂,以及生物工程如何在提高其效率方面发挥关键作用。