A hybrid reanalysis-forecast meteorological forcing data for advancing climate adaptation in agriculture.

Climate variability in the growing season is well suited for testing adaptation measures. Adaptation to adverse events, such as heatwaves and droughts, increases the capacity of players in agri-food systems, not only producers but also transporters and food manufacturers, to prepare for production disruptions due to seasonal extremes and climate change. Climate impact models (e.g., crop models) can be used to develop adaptation responses. To run these models, historical records and climate forecasts need to be combined as a single daily time series. We introduce the daily 0.5° global hybrid reanalysis-forecast meteorological forcing dataset from 2010 to 2021. The dataset consists of the Japanese 55-yr Reanalysis (JRA55) and the Japan Meteorological Agency/Meteorological Research Institute Coupled Prediction System version 2 (JMA/MRI-CPS2) 5-member ensemble forecast. Both are bias-corrected using the Delta method and integrated with a baseline climatology derived from the Environmental Research and Technology Development Fund's Strategic Research 14 Meteorological Forcing Dataset (S14FD). The dataset is called JCDS (JRA55-CPS2-Delta-S14FD) and offers a framework for monitoring and forecasting applications towards adaptation.

A dataset for analyzing the climate change response of grain quality of 48 Japanese rice cultivars with contrasting levels of heat tolerance.

Climate change has a significant impact on rice grain appearance quality; in particular, high temperatures during the grain filling period increase the rate of chalky immature grains, reducing the marketability of rice. Heat-tolerant cultivars have been bred and released to reduce the rate of chalky grain and improve rice quality under high temperatures, but the ability of these cultivars to actually reduce chalky grain content has never been demonstrated due to the lack of integrated datasets. Here, we present a dataset collected through a systematic literature search from publicly available data sources, for the quantitative analysis of the impact of meteorological factors on grain appearance quality of various rice cultivars with contrasted heat tolerance levels. The dataset contains 1302 field observations of chalky grain rates (%) - a critical trait affecting grain appearance sensitive to temperature shocks - for 48 cultivars covering five different heat-tolerant ranks (HTRs) collected at 44 sites across Japan. The dataset also includes the values of key meteorological variables during the grain filling period, such as the cumulative mean air temperature above the threshold temperature (TaHD), mean solar radiation, and mean relative humidity over 20 days after heading, obtained from a gridded daily meteorological dataset with a 1-km resolution developed by the National Agriculture and Food Research Organization. The dataset covers major commercial rice cultivars cultivated in Japan in different environmental conditions. It is a useful resource for analyzing the climate change impact on crop quality and assess the effectiveness of genetic improvements in heat tolerance. Its value has been illustrated in the research article entitled "Effectiveness of heat tolerance rice cultivars in preserving grain appearance quality under high temperatures - A meta-analysis", where the dataset was used to develop a statistical model quantifying the effects of high temperature on grain quality as a function of cultivar heat tolerance.

Ozone changes the linear relationship between photosynthesis and stomatal conductance and decreases water use efficiency in rice.

Ozone is an important air pollutant that affects growth, transpiration, and water use efficiency (WUE) in plants. Integrated models of photosynthesis (An) and stomatal conductance (Gs) (An-Gs) are useful tools to consistently assess the impacts of ozone on plant growth, transpiration, and WUE. However, there is no information on how to incorporate the influence of ozone into An-Gs integrated models for crops. We focused on the Ball-Woodrow-Berry (BWB) relationship, which is a key equation in An-Gs integrated models, and aimed to address the following questions: (i) how does ozone change the BWB relationship for crops?; (ii) are there any difference in the changes in the BWB relationship among cultivars?, and (iii) how do the changes in the BWB relationship increase or decrease WUE for crops? We grew four rice cultivars in a field under ambient or Free-Air Concentration Enrichment (FACE) of ozone in China and measured An and Gs using a portable photosynthesis analyzer. We simulated WUE in individual leaves during the ripening period under different BWB relationships. The results showed that ozone significantly changed the BWB relationship only for the most sensitive cultivar, which showed an increase in the intercept of the BWB relationship under FACE conditions. These results imply that changes in the BWB relationship are related to the ozone sensitivity of the cultivar. Simulations of an An-Gs integrated model showed that increases in the intercept of the BWB relationship from 0.01 to 0.1 mol(H2O) m-2 s-1 indicated decreases in WUE by 22%. Since a reduction in WUE indicates increases in water demand per unit of crop growth, air pollution from ozone could be a critical issue in regions where agricultural water is limited, such as in rainfed paddy fields.

Canopy-scale relationships between stomatal conductance and photosynthesis in irrigated rice.

Modeling stomatal behavior is critical in research on land-atmosphere interactions and climate change. The most common model uses an existing relationship between photosynthesis and stomatal conductance. However, its parameters have been determined using infrequent and leaf-scale gas-exchange measurements and may not be representative of the whole canopy in time and space. In this study, we used a top-down approach based on a double-source canopy model and eddy flux measurements throughout the growing season. Using this approach, we quantified the canopy-scale relationship between gross photosynthesis and stomatal conductance for 3 years and their relationships with leaf nitrogen content throughout each growing season above a paddy rice canopy in Japan. The canopy-averaged stomatal conductance (gsc ) increased with increasing gross photosynthesis per unit green leaf area (Ag ), as was the case with leaf-scale measurements, and 41-90% of its variation was explained by variations in Ag adjusted to account for the leaf-to-air vapor-pressure deficit and CO2 concentration using the Leuning model. The slope (m) in this model (gsc versus the adjusted Ag ) was almost constant within a 15-day period, but changed seasonally. The m values determined using an ensemble dataset for two mid-growing-season 15-day periods were 30.8 (SE = 0.5), 29.9 (SE = 0.7), and 29.9 (SE = 0.6) in 2004, 2005, and 2006, respectively; the overall mid-season value was 30.3 and did not greatly differ among the 3 years. However, m appeared to be higher during the early and late growing seasons. The ontogenic changes in leaf nitrogen content strongly affected Ag and thus gsc . In addition, we have discussed the agronomic impacts of the interactions between leaf nitrogen content and gsc . Despite limitations in the observations and modeling, our canopy-scale results emphasize the importance of continuous, season-long estimates of stomatal model parameters for crops using top-down approaches.

Evidence that variation in the peripheral benzodiazepine receptor (PBR) gene influences susceptibility to panic disorder.

Panic disorder (PD) is the repeated sudden occurrence of panic attacks, episodes characterized by psychological symptoms. Peripheral benzodiazepine receptor (PBR) is closely associated with personality traits for anxiety tolerance, and that it holds promise as a biological marker of stressful conditions. We have performed association analyses using the polymorphism to determine the PBR in PD. We screened the subjects for sequence variations within the 5' region, the coding region (exons 2-4), and the 3' noncoding region. One novel missense variant in exon 4, derived from the nucleotide transition in codon 162 (CGT --> CAT:485G > A) resulting in an arginine-to-histidine (Arg --> His) change, was detected in these subjects. The 485G > polymorphism of the PBR gene was analyzed in 91 PD patients and 178 controls. The genotypic and allelic analyses of the 485G > A revealed significant differences between the panic patients and the comparison subjects (P = 0.021 and 0.014, respectively). The present study provides new and important evidence that variation in the PBR gene influences susceptibility to PD.

Cholecystokinin (CCK) and the CCKA receptor gene polymorphism, and smoking behavior.

We analyzed genetic variants of the promoter region of the cholecystokinin (CCK; which modulates the release of dopamine) gene, and intron 1 and exon 5 of the CCKA receptor gene, and performed association analyses of nicotine dependence using an allele-specific amplification (ASA) method and PCR-RFLP methods. There was a significant difference between the current smoking and nonsmoking groups in the allele frequency of the CCK-45C/T polymorphism. However, there was no significant difference in the CCKA PstI polymorphism, and the HincII polymorphism was not detected in our study. Our data suggest that polymorphisms of the CCK gene may be one of the risk factors for smoking behavior.

Whole deletion of CYP2A6 gene (CYP2A6AST;4C) and smoking behavior.

The relationship between nicotine metabolism of CYP2A6 and the smoking behavior in a Japanese population was investigated. The CYP2A6 genotypes were determined by the PCR method. There was a significant difference in the frequency of the CYP2A6AST;4C allele, which is a whole deleted allele for the human CYP2A6 gene, between smokers and nonsmokers. The frequency of the CYP2A6AST;4C allele was higher in nonsmokers than in smokers, whereas the frequency of CYP2A6AST;1A/AST;1B heterozygotes with a higher activity of nicotine metabolism was lower. In this study it was suggested that the CYP2A6AST;4C allele may prevent the carrier from smoking and the CYP2A6AST;1A/AST;1B heterozygote may be at risk for developing smoking behavior.

Major depression and heat shock protein 70-1 gene.

BACKGROUND: Heat shock protein (HSP) expression can be induced by any stress such as with adrenocorticotropic hormones and catecholamines. It has been reported that patients with major depression have a 162-base deletion in the 5'-flanking region of heat shock protein 70 (HSP70)-1 gene mRNA. METHODS: To detect the HSP70-1 gene mRNA, total RNA was isolated and amplified by RT-PCR, and the sequence was confirmed in all five patients by DNA direct sequencing analysis. RESULTS: RT-PCR produced was no deletions of 162 bp in the human heat shock protein 70-1 gene in any of the patients with major depression or the nine controls. CONCLUSION: This finding is inconsistent with previous reports. We suggest that the 162-base deletion in the 5'-flanking region of the HSP70-1 gene mRNA is not associated with major depression. Further studies are required to determine the amounts of HSP70 and its mRNA in stress disorders such as major depression.

The serotonin-2A receptor polymorphism and clinical symptoms in mood disorders, schizophrenia and alcohol dependence in Japan.

In the past, there have been many epidemiological and genetic studies of mood disorders, schizophrenia, and alcohol dependence, and in this study, the human serotonin 2A receptor (5-HTR2A) polymorphism was examined in 80 patients with mood disorders, 50 patients with schizophrenia and 41 patients with alcohol dependence. 5-HTR is related to affectivity, regulation, and pharmacologic effects of antidepressant, anti-anxiety and antipsychotic medications. The polymorphism in 5-HTR2A (102T/C, -1438 A/G) was identified by the polymerase chain reaction (PCR), followed by restriction fragment length polymorphism (RFLP). The results suggest that 5-HTR2A (102T/C, -1438G/A) polymorphism might not be associated with susceptibility to schizophrenia or mood disorders, and it might not be a risk factor contributing to alcohol dependency. We found that the 102T/C polymorphism was in linkage disequilibrium with the -1438G/A polymorphism in psychosis (mood disorder, schizophrenia, and alcohol dependence) and in health controls. Further studies are needed to determine whether or not the novel serotonin receptor (5-HTR) polymorphism reflects the pathogenesis of schizophrenia, mood disorders, and alcohol dependence.

[Increase expression of CYP2E1 mRNA after methamphetamine administration in rats].

Methamphetamine (METH) is one of the most commonly abused psychostimulant. We have investigated the effect of METH administration on the CYP2E1 mRNA level using quantitative competitive reverse transcription-polymerase chain reaction assay. Rats were given METH (4 mg/kg or 8 mg/kg/day) for 2 weeks. The expression of CYP2E1 mRNA increased (5.7 fold) in 4 mg/kg/day administration rat liver in compared with control rat liver. The results suggest that exposure to METH may increase CYP2E1 level but superfluous exposure (8 mg/kg/day) of METH may reduce the expression of CYP2E1 gene.