Biology subjects

Tsumura, Y.

Publications and source records attributed to Tsumura, Y..

5 recordsLinked to original sources

bioRxiv2025

Common garden experiments suggest terpene-mediated interactions between phyllosphere microbes and Cryptomeria japonica

Plant-microbe interactions in the phyllosphere provide invaluable information on plant ecology, with implications for ecosystem functioning and plant-atmosphere feedbacks. The composition of phyllosphere microbial communities varies significantly depending on host lineages, geographic regions, and climatic conditions. However, the factors driving these variations in interactions with plants remain poorly understood. Biogenic volatile organic compounds (BVOCs) emitted by plants may be important in these interactions. Here, we quantified the composition of phyllosphere microbial communities and terpene emissions from leaves of Japanese cedar (Cryptomeria japonica) trees grown in two common gardens from cuttings collected from natural populations across Japan. Amplicon sequencing revealed that bacterial and fungal communities differed significantly between gardens and among host population origins. Analysis of BVOC profiles showed that the camphene emission rate was associated with bacterial community composition, whereas that of {beta}-farnesene was linked to fungal community composition. The relative abundances of certain putative plant pathogens and the emission rates of most monoterpenes were correlated with the climatic conditions at the origin sites of cedar trees. These findings highlight the intricate relationships between phyllosphere microbial communities and terpene emission from host trees and suggest the role of climatic factors in shaping these interactions.

plant biology↗

bioRxiv2025

Transcriptome differentiation in Cryptomeria japonica trees with different origins growing in the north and south of Japan

Cryptomeria japonica is a coniferous species widely distributed throughout Japan and therefore adapted to various environments. To seek genes involved in the local adaptation of this species, individuals with different origins growing at three common gardens located in the south, central and north of Japan were subjected to transcriptome analysis. The transcriptome assembly, guided by whole-genome sequence of C. japonica, resulted in 77,212 transcripts from 56,203 genes. Individuals were clustered into three genetic groups based on single nucleotide polymorphisms (SNPs) detected in 12,389 genes among them. Weighted gene co-expression network analysis (WGCNA) identified 25 gene modules. Comparison of representative gene expression patterns for each co-expression gene module with genetic differentiation predicted by SNPs revealed that one module exhibited a negative correlation and another a positive correlation across all three common gardens. While defense response genes were highly expressed in individuals from the Pacific Ocean side of Japan (omote-sugi), terpenoid metabolism genes were more expressed in individuals originating from the Sea of Japan side (ura-sugi). These results suggest that local adaptation associated with the alteration of gene regulation occurred in biotic stress response genes in C. japonica.

plant biology↗

bioRxiv2023

A chromosome-level genome assembly of amodel conifer plant, the Japanese cedar,Cryptomeria japonica D. Don

Japanese cedar (Cryptomeria japonica D. Don) is the most important Japanese forest tree, occupying about 44% of artificial forests in Japan, and planted in East Asia, Azores Archipelago, and some islands in the Indian Ocean. Although the huge genome of the species (ca. 11 Gb) with abundant repeat elements might have been an obstacle for genetic analysis, the species is easily propagated by cutting, flowered by plant hormones like gibberellic acid, transformed by agrobacterium, and edited by CRISPR/Cas9. These characteristics of C. japonica are preferable to make the species a model conifer for which reference genome sequences are necessary. In this study, we report the first chromosome-level assembly for C. japonica (2n = 22) using a third generation selfed progeny with an estimated homozygosity of 0.96. Young leaf tissue was used to extract high-molecular-weight DNA (>50 kb) for HiFi PacBio long read sequencing and to construct Hi-C/Omni-C library for Illumina short read sequencing. Using the 29x and 26x genome coverage of HiFi and Illumina reads, respectively, de novo assembly resulted in 2,650 contigs (9.1 Gb in total) with N50 contig size of 12.0 Mb. The Hi-C analysis mapped 97% of the nucleotides on the 11 chromosomes. The assembly was verified by comparing with a consensus linkage map of 7,785 markers. The BUSCO analysis confirmed ~91% of conserved genes. Annotations of genes, repeat elements and synteny with other Cupressaceae and Pinaceae species were performed, providing fundamental resources for genomic research of conifers.

genomics↗

bioRxiv2020

Identification and genetic diversity analysis of a male-sterile gene (MS1) in Japanese cedar (Cryptomeria japonica D. Don)

Identifying causative genes for a target trait in conifer reproduction is challenging for species lacking whole-genome sequences. In this study, we searched for the male-sterility gene (MS1) in Cryptomeria japonica, aiming to promote marker-assisted selection (MAS) of male-sterile C. japonica to reduce the pollinosis caused by pollen dispersal from artificial C. japonica forests in Japan. We searched for mRNA sequences expressed in male strobili and found the gene CJt020762, coding for a lipid transfer protein containing a 4-bp deletion specific to male-sterile individuals. We also found a 30-bp deletion by sequencing the entire gene of another individual with the ms1. All nine breeding materials with the allele ms1 had either a 4-bp or 30-bp deletion in gene CJt020762, both of which are expected to result in faulty gene transcription and function. Furthermore, the 30-bp deletion was detected from three of five individuals in the Ishinomaki natural forest. From our findings, CJt020762 was considered to be the causative gene of MS1. Thus, by performing MAS using two deletion mutations as a DNA marker, it will be possible to find novel breeding materials of C. japonica with the allele ms1 adapted to the unique environment of each region of the Japanese archipelago.

genetics↗

bioRxiv2020

Inspecting abundantly expressed genes in male strobili in sugi (Cryptomeria japonica D. Don) via a highly accurate cDNA assembly

Sugi (Cryptomeria japonica D. Don) is an important conifer used for afforestation in Japan. The field of functional genomics is rapidly developing. The genomics of this gymnosperm species is currently being studied. Although its genomic size is 11 Gbps, it is still too large to assemble well within a short period of time. Transcriptomics is the one another approach to address this. Moreover, it is a necessary step in obtaining the complete genomic data. Here we designed a three stages assembling workflow using the de novo transcriptome assembly tools, Oases and Trinity. The three stages in transcriptomics are independent assembly, automatic and semi-automatic integration, and refinement by filtering out potential contamination. We found a set of 49,795 cDNA and an equal number of translated proteins (CJ3006NRE). According to the benchmark of BUSCO, 87.01 % were complete genes, including very high "Complete and single-copy" genes-78.47%. Compared to other full-length cDNA resources, the extent of the coverage in CJ3006NRE suggests that it may be used as the standard for further studies. When two tissue-specific libraries were compared, principal component analysis (PCA) showed that there were significant differences between male strobili and leaf and bark sets. The highest three upregulated transcription factors stood out as orthologs to angiosperms. The identified signature-like domain of the transcription factors demonstrated the accuracy of the assembly. Based on the evaluation of different resources, we demonstrate that our transcriptome assembly output is valuable and useful for further studies in functional genomics and evolutionary biology.

bioinformatics↗