Dipartimento di Scienze della Vita e Biologia dei Sistemi, Università degli Studi of Turin, Turin, Italy.
Institut Systématique Evolution, Biodiversité (ISYEB: UMR7205 CNRS-MNHN-Sorbonne Université-EPHE-UA)¸ Muséum National d'Histoire Naturelle, Paris, France.
Microb Biotechnol. 2024 Jan;17(1):e14390. doi: 10.1111/1751-7915.14390. Epub 2024 Jan 16.
By deciphering information encoded in degraded ancient DNA extracted from up to million-years-old samples, molecular paleomicrobiology enables to objectively retrace the temporal evolution of microbial species and communities. Assembly of full-length genomes of ancient pathogen lineages allows not only to follow historical epidemics in space and time but also to identify the acquisition of genetic features that represent landmarks in the evolution of the host-microbe interaction. Analysis of microbial community DNA extracted from essentially human paleo-artefacts (paleofeces, dental calculi) evaluates the relative contribution of diet, lifestyle and geography on the taxonomic and functional diversity of these guilds in which have been identified species that may have gone extinct in today's human microbiome. As for non-host-associated environmental samples, such as stratified sediment cores, analysis of their DNA illustrates how and at which pace microbial communities are affected by local or widespread environmental disturbance. Description of pre-disturbance microbial diversity patterns can aid in evaluating the relevance and effectiveness of remediation policies. We finally discuss how recent achievements in paleomicrobiology could contribute to microbial biotechnology in the fields of medical microbiology and food science to trace the domestication of microorganisms used in food processing or to illustrate the historic evolution of food processing microbial consortia.
通过破译从长达百万年的样本中提取的降解古 DNA 中的信息,分子古微生物学能够客观地追溯微生物物种和群落的时间演变。组装古代病原体谱系的全长基因组不仅可以追踪历史上的时空流行病,还可以识别代表宿主-微生物相互作用进化里程碑的遗传特征的获得。从本质上是人类古文物(古粪便、牙垢)中提取的微生物群落 DNA 的分析评估了饮食、生活方式和地理位置对这些群体的分类和功能多样性的相对贡献,其中已确定的一些物种可能已经在当今人类微生物组中灭绝。至于非宿主相关的环境样本,如分层沉积物芯,对其 DNA 的分析说明了微生物群落是如何以及以多快的速度受到局部或广泛环境干扰的影响。描述干扰前的微生物多样性模式有助于评估补救政策的相关性和有效性。我们最后讨论了古微生物学的最新成就如何有助于医学微生物学和食品科学领域的微生物生物技术,以追踪用于食品加工的微生物的驯化,或说明食品加工微生物联合体的历史演变。