Rush Tomás A, Shrestha Him K, Gopalakrishnan Meena Muralikrishnan, Spangler Margaret K, Ellis J Christopher, Labbé Jesse L, Abraham Paul E
Oak Ridge National Laboratory, Biosciences Division, Oak Ridge, TN, United States.
Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, Knoxville, TN, United States.
Front Fungal Biol. 2021 Sep 16;2:716511. doi: 10.3389/ffunb.2021.716511. eCollection 2021.
Natural products derived from microbes are crucial innovations that would help in reaching sustainability development goals worldwide while achieving bioeconomic growth. species are well-studied model fungal organisms used for their biocontrol properties with great potential to alleviate the use of agrochemicals in agriculture. However, identifying and characterizing effective natural products in novel species or strains as biological control products remains a meticulous process with many known challenges to be navigated. Integration of recent advancements in various "omics" technologies, next generation biodesign, machine learning, and artificial intelligence approaches could greatly advance bioprospecting goals. Herein, we propose a roadmap for assessing the potential impact of already known or newly discovered species for biocontrol applications. By screening publicly available genome sequences, we first highlight the prevalence of putative biosynthetic gene clusters and antimicrobial peptides among genomes as an initial step toward predicting which organisms could increase the diversity of natural products. Next, we discuss high-throughput methods for screening organisms to discover and characterize natural products and how these findings impact both fundamental and applied research fields.
源自微生物的天然产物是至关重要的创新成果,有助于在实现生物经济增长的同时,在全球范围内达成可持续发展目标。木霉菌种是经过充分研究的典型真菌生物体,因其具有生物防治特性,在减轻农业中农用化学品的使用方面具有巨大潜力。然而,在新物种或菌株中鉴定和表征有效的天然产物作为生物防治产品仍然是一个细致的过程,面临许多已知挑战。整合各种“组学”技术、下一代生物设计、机器学习和人工智能方法的最新进展,可以极大地推动生物勘探目标的实现。在此,我们提出了一个路线图,用于评估已知或新发现的木霉菌种在生物防治应用中的潜在影响。通过筛选公开可用的木霉菌基因组序列,我们首先强调假定的生物合成基因簇和抗菌肽在基因组中的普遍性,作为预测哪些生物体可以增加天然产物多样性的第一步。接下来,我们讨论用于筛选生物体以发现和表征天然产物的高通量方法,以及这些发现如何影响基础研究和应用研究领域。