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Kiguchi, Y.

Publications and source records attributed to Kiguchi, Y..

3 recordsLinked to original sources

Uncovering plant microbiomes using long-read metagenomic sequencing

The microbiome of plants plays a pivotal role in their growth and health. Despite its importance, many fundamental questions about the microbiome remain largely unanswered, such as the identification of colonizing bacterial species, the genes they carry, and the location of these genes on chromosomes or plasmids. To gain insights into the genetic makeup of the rice leaf microbiome, we performed a metagenomic analysis using long-read sequences, and developed a genomic DNA extraction method that provides relatively intact DNA for long-read sequencing. 1.8 Gb reads were assembled into 26,067 contigs, including 136 circular sequences of less than 1 Mbp, as well as 172 large ([&ge;] 1 Mbp) sequences, six of which were circularized. Within these contigs, 669 complete 16S rRNA genes were clustered into 166 bacterial species, 130 of which showed low identity to previously defined sequences, suggesting that they represent novel species. The large circular contigs contain novel chromosomes and a megaplasmid, and most of the smaller circular contigs (<1 Mbp) were defined as novel plasmids or bacteriophages. One circular contig represents the complete chromosome of an uncultivated bacterium in the candidate phylum Candidatus Saccharibacteria. Our findings demonstrate the efficacy of long-read-based metagenomics for profiling microbial communities and discovering novel sequences in plant-microbiome studies.

microbiology↗

Lifelong temporal dynamics of the gut microbiome associated with longevity in mice

The temporal changes of the gut microbiome are thought to be critical for understanding its interactions with host aging, but lifelong dynamics within the same individual remain largely unknown. Here we firstly report the high temporal resolution dynamics of gut microbiomes in mice sharing the same genetic background and environment from their birth to natural death, spanning >1,000 days. The 16S rRNA sequencing analysis revealed 9 patterns of OTU temporal dynamics and 38 common "life-core" bacterial species/operational taxonomic units (OTUs) in [&ge;]80% of all samples across the lifespan of individual mice. The life-core OTUs are largely represented by the phylum Bacteroidota, whereas the transient bacterial group predominantly includes the phylum Firmicutes (Bacillota). Despite the shared genetic background and dietary habits, the gut microbiome structure significantly diversified with age and among individuals. A positive correlation existed between longevity and the microbiome -diversity in middle age (200-500 days) followed by a negative correlation in old age (>700 days), likely influenced by the increase in diversity during the last days of life. The abundance of several "life-core" species also exhibited non-static correlation trends with lifespan. Overall, this research characterized the gut microbiomes based on its persistence over hosts lifetime and suggested a non-static host-microbiome relationship within individual mice.

microbiology↗

Extensive gut virome variation and its associations with host and environmental factors in a population-level cohort

Indigenous bacteriophage communities (virome) in the human gut have a huge impact on the gut bacterial communities (bacteriome), but virome variation at a population scale is not fully investigated yet. Here, we analyse the gut virome in a population-level cohort of 4,198 deeply phenotyped individuals. We discovered thousands of high-quality phage genomes including previously uncharacterized ones with different bacterial hosts than known major phage clades. The distribution of host bacteria was a strong determinant for the distribution of phages, and virome diversity was highly correlated with anti-viral defence mechanisms of the bacteriome, such as CRISPR-Cas and restriction-modification systems. We identified 97 various intrinsic/extrinsic factors that significantly affect the virome, including age, sex, lifestyle, and diet, most of which showed consistent associations with both phages and their predicted bacterial hosts. Among the metadata categories, disease and medication had the strongest effects on the virome structure. Overall, these results present a basis to understand the symbiotic communities of bacteria and their viruses in the human gut, which will facilitate the medical and industrial applications of indigenous viruses.

microbiology↗