Perrier Fabien, Morice Juliette, Gueulle Sabrina, Géry Antoine, Riboulet-Bisson Eliette, Garon David, Muller Cécile, Desriac Florie
Université de Caen Normandie, CBSA UR 4312, UFR des Sciences, Campus 1, F-14000 Caen, France.
Université de Caen Normandie, ToxEMAC-ABTE UR 4651, UFR des Sciences, Campus 1, F-14000 Caen, France.
Microorganisms. 2024 Nov 25;12(12):2422. doi: 10.3390/microorganisms12122422.
Uncultured microorganisms represent a promising and untapped source of antibacterial compounds, crucial in the fight against the significant threat of antimicrobial resistance (AMR). In this study, both traditional and isolation chip (iChip) cultivation techniques were employed to enhance the recovery of known and unknown microorganisms from soils located in Normandy, France. The isolates obtained were identified using 16S rDNA or ITS regions analysis and MALDI-TOF mass spectrometry and were screened for antibacterial activity. A total of 386 isolates, belonging to 6 microbial phyla and distributed across 65 genera, were recovered using both methods. In total, 11 isolates are potentially new bacterial species, and 34 were associated with 22 species described recently. The iChip method yielded a higher diversity of microorganisms (47 genera) than the traditional method (38 genera) and was particularly effective in enriching . Antibacterial screening against target bacteria showed that 85 isolates (22%) exhibited antibacterial activity. The , , and taxa accounted for most antibacterial-producing bacteria with some presenting promising undescribed characteristics. Other active isolates were affiliated with less-known antibacterial producers such as , , , , , , and , among others. These results highlight the potential of our microbial collection as a source of new antibacterial natural products.
未培养微生物是抗菌化合物的一个有前景且未被开发的来源,在对抗抗菌耐药性(AMR)这一重大威胁中至关重要。在本研究中,采用了传统培养技术和分离芯片(iChip)培养技术,以提高从法国诺曼底土壤中回收已知和未知微生物的效率。使用16S rDNA或ITS区域分析以及基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)对获得的分离株进行鉴定,并筛选其抗菌活性。两种方法共回收了386株分离株,属于6个微生物门,分布在65个属中。总共11株分离株可能是新细菌物种,34株与最近描述的22个物种相关。iChip方法产生的微生物多样性(47个属)高于传统方法(38个属),并且在富集方面特别有效。针对目标细菌的抗菌筛选表明,85株分离株(22%)表现出抗菌活性。 、 和 类群占大多数产抗菌物质的细菌,其中一些具有有前景的未描述特征。其他活性分离株隶属于不太知名的抗菌物质生产者,如 、 、 、 、 、 等。这些结果突出了我们的微生物库作为新抗菌天然产物来源的潜力。