Biology subjects

Asahina, M.

Publications and source records attributed to Asahina, M..

3 recordsLinked to original sources

bioRxiv2020

Cell-cell adhesion in plant grafting is facilitated by β-1,4-glucanases

Plant grafting is conducted for vegetative propagation in plants, whereby a piece of living tissue is attached to another tissue through establishment of cell-cell adhesion. Plant grafting has a long history in agriculture and has been applied to improve crop traits for thousands of years1. Plant grafting has mostly relied on the natural ability of a plant for wound healing. However, the compatibility of cell-cell adhesion typically limits graft combinations to closely related species2-4, and the mechanism by which cell-cell adhesion of injured tissues is established is largely unknown. Here, we show that a subclade of {beta}-1,4-glucanases secreted into the extracellular region facilitates cell-cell adhesion near the graft interface. Nicotiana shows a propensity for cell-cell adhesion with a diverse range of angiosperms, including vegetables, fruit trees, and monocots, in which cell wall reconstruction was promoted in a similar manner to conventional intrafamily grafting5-7. Using transcriptomic approaches, we identified a specific clade of {beta}-1,4-glucanases that is upregulated during grafting in successful graft combinations but not in incompatible grafts and precedes graft adhesion in inter- and intrafamily grafts. Grafting was facilitated with an overexpressor of the {beta}-1,4-glucanase and, using Nicotiana stem as an interscion, we produced tomato fruits on rootstocks from other plant families. Our results demonstrate that the mechanism of cell-cell adhesion is partly conserved in plants and is a potential target to enhance plant grafting techniques.

plant biology↗

bioRxiv2020

Genetic exploration of a nuclear receptor transcriptional regulatory complex

Metazoan transcriptional regulatory factors (TFs) bind to genomic response elements and assemble with co-regulators into transcriptional regulatory complexes (TRCs) whose composition, structure and activities are gene-, cell- and physiological-context specific. Each TRC is a "regulatory logic module," integrating incoming signaling information, which defines context and thereby recruits a distinct combination of co-regulators that together specify outgoing regulatory activity. Analyzing TRCs unique to every context is daunting, yet justified by their properties as self-contained regulatory modules. As proof-of-concept, we performed a forward genetic screen in C. elegans carrying a synthetic simple response element for nuclear receptor NHR-25 upstream of a fluorescent reporter gene. We isolated independent mutations in uba-2, a component of the sumoylation signaling machinery, and in lir-2, which we demonstrated to be a novel co-regulator, interacting with NHR-25 through LxxLL motifs and modulating target gene expression. Our studies establish that an unbiased genetic screen readily identifies both afferent and efferent components that specify TRC function, and suggest that screening natural response elements of interest could illuminate molecular mechanisms of both context-specificity and transcriptional regulation.

genetics↗

bioRxiv2019

Definition of alleles and altered regulatory motifs across Cas9-edited cell populations

BackgroundGenetic alteration of candidate response elements at their native chromosomal loci is the only valid determinant of their potential transcriptional regulatory activities. Targeted DNA cleavage by Cas9 coupled with cellular repair processes can produce arrays of alleles that can be defined by massively parallel sequencing by synthesis (SBS), presenting an opportunity to generate and survey edited cell populations that include informative alterations. Such editing efforts commonly rely on subclonal enrichment to isolate cells with preferred genotypic properties at target loci; short nucleotide adducts (indices/barcodes) allow PCR-amplified molecules from diverse sample sources to be pooled, sequenced, and demultiplexed to resolve source-specific content. Not widely available, however, are capabilities for barcoding thousands of clones, or for automated analysis of individual candidate regulatory loci PCR-amplified and sequenced from a genetically heterogeneous population--specifically, imputation of discrete genotype(s) by allele definition and abundance, and identification of altered regulatory factor binding motifs.\n\nResultsWe describe a panel of 192 8-nucleotide barcode primers compatible with Illumina(R) sequencing platforms, and the application of these barcodes to genotypic analysis of Cas9-edited clones. Permutations of the ninety-six i7 (read 1) and ninety-six i5 (read 2) barcodes allow unique labeling of up to 9,216 distinct samples. We created three independent Python scripts: SampleSheet.py automates construction of Illumina(R) Sample Sheets encoding up to 9,216 barcode:sample relationships; ImputedGenotypes.py defines alleles and imputes genotypes from demultiplexed fastq files; CollatedMotifs.py flags transcription factor recognition motif matches altered in alleles relative to a reference sequence.\n\nConclusionsCode-enabled definition of alleles and regulatory motifs in sequenced, demultiplexed amplicons facilitates evaluation of genetic diversity in up to 9,216 distinct samples. Here, we demonstrate the utility of three scripts in analysis of cell populations targeted by Cas9 for disruption of glucocorticoid receptor (GR) binding sites near FKBP5, a GR-regulated gene in the human adenocarcinoma cell line A549. SampleSheet.py, ImputedGenotypes.py, and CollatedMotifs.py operate independently and are broadly applicable beyond the case described here.

molecular biology↗