Biology subjects

Deguchi, A.

Publications and source records attributed to Deguchi, A..

3 recordsLinked to original sources

bioRxiv2022

Identification of a novel chalcone reductase gene for isoliquiritigenin biosynthesis in dahlia (Dahlia variabilis)

Butein is one of flavonoids conferring bright yellow flower color and is a precursor of aurone in some species. Butein is synthesized by two steps, 3-malonyl CoA and 4-coumaloyl CoA are converted to isoliquiritigenin in the first step, and then isoliquiritigenin is converted to butein in the second step. In the first step, chalcone synthase (CHS) and chalcone reductase (CHR) catalyze this reaction, however, CHR has been reported for the isoflavone biosynthesis pathway in legumes, and CHR for butein biosynthesis has not yet been isolated. In this study, we report CHR that is evolutionally different gene from legume species is involved in isoliquiritigenin biosynthesis in dahlia. To isolate CHR gene, we conducted comparative RNA-seq analysis between Shukuhai and its butein-loss lateral mutant Rinka. We found DvCHR showed significant difference in expression levels that encodes an aldo-keto reductase (AKR) 13 family protein, which was phylogenetically different from legume CHRs belonging to AKR4A family. Gene expression levels and genotype of DvCHR were correlated with butein accumulation among various dahlia cultivars. Though single over expression of DvCHR was not able to accumulate isoliquiritigenin in tobacco, co-overexpression of DvCHR with a chalcone glucosyltransferase Am4'CGT and a MYB transcription factor CaMYBA successfully induced isoliquiritigenin accumulation. In addition, DvCHR homologous gene expression was detected from butein or aurone accumulating Coreopsideae species but not from non-butein or non-aurone accumulating Asteraceae species. These results indicated DvCHR functions as chalcone reductase for butein biosynthesis in dahlia, and isoliquiritigenin biosynthesis in Coreopsideae species has been developed independently from legume species.

plant biology↗

bioRxiv2019

Transcriptional variation in glucosinolate biosynthetic genes and inducible responses to aphid herbivory on field-grown Arabidopsis thaliana

Recently, increasing attempts have been made to understand how plant genes function in natura studies. To determine whether plant defense genes are activated under multiple biotic stimuli, we combined a high-throughput RNA-Seq with insect survey data on 19 accessions of Arabidopsis thaliana growing on the field site of Switzerland. We found that genes with GO annotations "glucosinolate biosynthetic process" and "response to insects" were the most significantly enriched, exhibiting largely variable expression among plant accessions. Nearly half of the total expression variation in glucosinolate biosynthetic genes, AOPs, ESM1, ESP, and TGG1, was explained by among-accession variance. Combined with the field RNA-Seq data, bioassays confirmed that AOP3 was up-regulated in response to the mustard aphid Lipaphis erysimi. In addition, we also found that the expression of a major cis-jasmone activated gene CYP81D11 was positively correlated with the number of the flea beetles Phyllotreta spp. The combined results from RNA-Seq and insect surveys suggested that plants can activate their defenses even when they are exposed to multiple biotic stimuli in natura.

plant biology↗

bioRxiv2018

Prediction of environmental response in field-grown rice using expression-dynamics-QTL

How genetic variations affect gene expression dynamics of field-grown plants remains unclear. Using statistical analysis of large-scale time-series RNA-sequencing of field-grown rice from chromosome segment substitution lines (CSSLs), we identified 1675 expression dynamics quantitative trait loci (edQTLs) leading to polymorphisms in expression dynamics under field conditions. Based on the edQTL and environmental information, we successfully predicted gene expression under environments different from training environments, and in rice cultivars with more complex genotypes than the CSSLs. Overall, edQTL identification helped understanding the genetic architecture of expression dynamics under field conditions, which is difficult to assess with laboratory experiments1.The prediction of expression based on edQTL and environmental information will contribute to crop breeding by increasing the accuracy of trait prediction under diverse conditions.

bioinformatics↗