USING PROXIMITY TO FIX ASSEMBLY
Ivan Liachko
时长:20:08
分会场:2019中国肠道大会 - 新技术大会
Background and Aims: The loss of long-range sequence contiguity in the process of NGS sequencing is an obstacle to understanding the structure and function of genomes and metagenomes. This obstacle negatively affects both clinical research efforts and virtually all microbiome-centric projects as much genetic information cannot be reconstructed from complex mixed microbial communities without culturing the constituent microbes. Methods and Results: The chromosome conformation capture method, Hi-C, restores chromosome-scale contiguity to large genome assemblies and enables the deconvolution of numerous genomes from mixed samples such as complex microbial communities. Hi-C captures genomic proximity interactions through in vivo crosslinking, followed by proximity-ligation and sequencing. Since the crosslinks occur inside intact cells, any two loci that interact by Hi-C must have originated in the same cell, and this data can be used to deconvolute high quality genomes directly from mixed populations. We have developed a metagenomic discovery platform that exploits Hi-C proximity-ligation data and have applied it to a number of diverse sample types. Our ProxiMeta Hi-C extracts large numbers of genomes directly from microbiome samples without culturing, which can also associate plasmids and phage with hosts and separate strains without culturing. Conclusions: We will discuss the application of Hi-C data to a number of diverse microbiome samples. For example, we have been able to discover hundreds of novel strains and species from fecal and infected samples, as well as identify novel plasmid/phage host interactions.We have been able to identify the host for a number of AMR genes within novel species, underscoring the value of proximity-ligation data to microbiome research.
Ivan Liachko
Phase Genomics
Ivan Liachko博士,2007年毕业于康奈尔大学,目前为华盛顿大学西雅图分校基因组学实验室高级研究员,兼任Phase Genomcis公司CEO及首席科学家。Liachko博士在遗传/基因组研究领域有20余年的工作经验,重点涉及微生物基因组学及合成生物学领域,撰写学术论文20余篇,并创立了多项专利。致力于三维基因组Hi-C技术在微生物组研究领域的研究应用,是宏基因组Hi-C组装技术的发明者之一。该技术成果可应用于复杂微生物样本中单菌基因组完成图组装和功能注释,打破微生物基因组研究中,难以分离培养单菌的技术瓶颈,为培养组及不可培养微生物的基因组研究提供有力支持。