Atsushi J. Nagano

This study identifies that photosynthesis in frozen plants contributes to freezing tolerance by accumulating sugars during second-phase acclimation, beyond the effects of cold acclimation.

The paper develops a predictive framework to design synthetic microbial communities for crop resilience, showing improved plant growth and heat tolerance in field and lab tests.

This study compares annual transcriptome dynamics between Arabidopsis thaliana and its polycarpic relative, highlighting gene expression differences linked to resource allocation strategies in monocarpic plants.

The paper analyzes transcriptomic changes in Japanese morning glory petals over time, identifying gene expression patterns related to development, nutrient transport, and circadian rhythms.

The paper shows that transcriptome dynamics in rice are mainly regulated by irradiance, using models trained on controlled environment data.

The paper identifies transcriptomic biomarkers to quantify SA and JA response states in Arabidopsis under field herbivory, revealing dynamic hormonal interactions shaped by herbivore abundance.

The paper identifies the IspS gene responsible for isoprene emission in Quercus serrata and shows functional differences in related genes from non-emitting species.

This study identifies key factors affecting field transcriptome model accuracy through simulation and validation with real data, showing gene expression patterns, sample size, and environmental coverage are most influential.

This study uses Lasy-Seq to analyze transcriptomic variation in 25 common wheat accessions, revealing cis- and trans-regulation patterns across subgenomes and tissues.

The paper introduces DeLTa-Seq, a method for targeted RNA-Seq from crude tissue lysates, enabling cost-effective and high-throughput gene expression analysis without RNA purification.

This study presents long-read genome assemblies of 12 Vigna species, revealing new WOX transcription factors and transcriptional changes linked to stress tolerance.

The paper identifies edQTLs in rice under field conditions and shows they can predict gene expression in different environments and complex genotypes.

This paper introduces Neighbor GWAS, a method that incorporates neighbor genotypic identity into GWAS to better capture spatial genetic effects, finding that neighbor effects explain 8% more phenotypic variation in field herbivory data.

This paper introduces Neighbor QTL, a method for mapping quantitative trait loci that account for neighbor effects in plants, and demonstrates its application to herbivory in Arabidopsis thaliana.

This study investigates how gene-regulation network structure affects prediction accuracy in high-dimensional regression using Monte Carlo simulations.

The paper constructs a high-resolution RAD-Seq linkage map for marine medaka, anchors the reference genome, and identifies a sex trait QTL on the sex chromosome.

The paper uses ddRAD-Seq to assess genetic diversity and introgression in Taishu horses, finding reduced diversity and limited introgression signatures.

The paper analyzes RNA-seq data from Arabidopsis thaliana and Saccharomyces cerevisiae to show that gene expression distributions can be described by Gauss-power mixing distributions, with functional implications for gene types.

The paper identifies five new QTLs associated with transgressive segregation in rice heading time by analyzing F2 progeny from two japonica rice cultivars.