Complete Genomic Sequence of Xanthomonas oryzae pv. oryzae Strain, LA20, for Studying Resurgence of Rice Bacterial Blight in the Yangtze River Region, China.

Xanthomonas oryzae pv. oryzae (Xoo) is a causative agent of rice bacterial blight (BB). In 2020-2022, BB re-emerged, and there was a break out in the Yangtze River area, China. The pandemic Xoo strain, LA20, was isolated and identified from cultivar Quanyou1606 and demonstrated to be the Chinese R9 Xoo strain, which is able to override the widely adopted xa5-, Xa7- and xa13-mediated resistance in rice varieties in Yangtze River. Here, we report the complete genome of LA20 by PacBio and Illumina sequencing. The assembled genome consists of one circular chromosome of 4,960,087 bp, sharing 99.65% sequence identity with the traditional representative strain, YC11 (R5), in the Yangtze River. Comparative genome analysis of LA20 and YC11 revealed the obvious variability in Tal genes (the uppermost virulence determinants) in numbers and sequences. Particularly, six Tal genes were only found in LA20, but not in YC11, among which Tal1b (pthXo1)/Tal4 (pthXo6), along with the lost one, pthXo3 (avrXa7), might be the major factors for LA20 to overcome xa5-, Xa7- and xa13-mediated resistance, thus, leading to the resurgence of BB. This complete genome of the new pandemic Xoo strain will provide novel insights into pathogen evolution, the traits of pathogenicity on genomic level and the epidemic disease status in China.

First Report of New Bacterial Leaf Blight of Rice Caused by Pantoea ananatis in Southeast China.

In autumn 2020, leaf blight was observed on rice (Oryza sativa L., variety Zhongzao39, Yongyou9, Yongyou12, Yongyou15, Yongyou18, Yongyou1540, Zhongzheyou8, Jiafengyou2, Xiangliangyou900 and Jiyou351) in the fields of 17 towns in Zhejiang and Jiangxi Provinces, China. The disease incidence was 45%-60%. Initially, water-soaked, linear, light brown lesions emerged in the upper blades of the leaves, and then spread down to leaf margins, which ultimately caused leaf curling and blight during the booting-harvest stage (Fig. S1). The disease symptoms were assumed to be caused by Xanthomonas oryzae pv. oryzae (Xoo), the pathogen of rice bacterial blight. 63 isolates were obtained from the collected diseased leaves as previously described (Hou et al. 2020). All isolates showed circular, smooth-margined, yellow colonies when cultured on peptone sugar agar (PSA) medium for 24h at 28℃. The cells were all gram-negative and rod-shaped with three to six peritrichous flagella; positive for catalase, indole, glucose fermentation and citrate utilization, while negative for oxidase, alkaline, phenylalanine deaminase, urease, and nitrate reductase reactions. 16S rRNA gene sequence analysis from the 6 isolates (FY43, JH31, JH99, TZ20, TZ39 and TZ68) revealed that the amplified fragments shared 98% similarity with Pantoea ananatis type strain LMG 2665T (GenBank JFZU01) (Table S3). To further verify P. ananatis identity of these isolates, fragments of three housekeeping genes including gyrB, leuS and rpoB from the 6 isolates were amplified and sequenced, which showed highest homology to LMG 2665T with a sequence similarity of 95%-100% (Table S3). Primers (Brady et al. 2008) and GenBank accession numbers of gene sequences from the 6 isolates are listed in Table S1 and Table S2. Phylogenetic analysis of gyrB, leuS and rpoB concatenated sequences indicated that the 6 isolates were clustered in a stable branch with P. ananatis (Fig. S2). Based on the above morphological, physiological, biochemical and molecular data, the isolates are identified as P. ananatis. For pathogenicity tests, bacterial suspension at 108 CFU/mL was inoculated into flag leaves of rice (cv. Zhongzao39) at the late booting stage using clipping method. Water was used as a negative control. The clipped leaves displayed water-soaked lesions at 3 to 5 days after inoculation (DAI); then the lesion spread downward and turned light brown. At about 14 DAI, blight was shown with similar symptoms to those samples collected from the rice field of Zhejiang and Jiangxi provinces (Fig. S1). In contrast, the control plants remained healthy and symptomless. The same P. ananatis was re-isolated in the inoculated rice plants, fulfilling Koch's postulates. In the past decade, P. ananatis has been reported to cause grain discoloration in Hangzhou, China (Yan et al. 2010) and induce leaf blight as a companion of Enterobacter asburiae in Sichuan province, China (Xue et al. 2020). Nevertheless, to the best of our knowledge, this is the first report of P. ananatis as the causative agent of rice leaf blight in southeast China. This study raises the alarm that the emerging rice bacterial leaf blight in southeast China might be caused by a new pathogen P. ananatis, instead of Xoo as traditionally assumed. Further, the differences of occurrence, spread and control between two rice bacterial leaf blight diseases caused by P. ananatis and Xoo, respectively need to be determined in the future.

A Linear Regression Model for the Prediction of Rice Sheath Blight Field Resistance.

Rice sheath blight (SB) disease is a global issue that causes great yield losses each year. To explore whether SB field resistance can be predicted, 273 rice genotypes were inoculated and evaluated for SB field resistance across nine environments from 2012 to 2019 to identify loci associated with SB resistance by association mapping. A total of 80 significant marker-trait associations were detected in nine environments, among which six loci (D130B, D230A, D304B, D309, D427A, and RM409) were repeatedly detected in at least two environments. A linear regression model for predicting SB lesion length was developed using genotypic data of these six loci and SB field resistance data of the 273 rice genotypes: y = 34.44 - 0.56x, where y is the predicted value of lesion length, and x is the total genotypic value of the six loci. A recombinant inbred line (RIL) population consisting of 219 lines that was grown in six environments (from 2013 to 2018) for evaluation of SB field resistance was used to check the prediction accuracy of the prediction model. The average absolute error between the predicted lesion length and real lesion length for the RIL population was 6.67 cm. The absolute errors between predicted and real lesion lengths were <6 cm for 51.22% of the lines and <9 cm for 71.22% of the lines. An SB visual rating prediction model was also developed, and the average absolute error between the predicted visual rating and real visual rating for the RIL population was 0.94. These results indicated that the rice SB lesion length can be predicted by the development of a linear regression model using both genotypic and phenotypic data.

Proteomic dissection of the rice-Fusarium fujikuroi interaction and the correlation between the proteome and transcriptome under disease stress.

BACKGROUND: Bakanae disease, caused by the fungus Fusarium fujikuroi, occurs widely throughout Asia and Europe and sporadically in other rice production areas. Recent changes in climate and cropping patterns have aggravated this disease. To gain a better understanding of the molecular mechanisms of rice bakanae disease resistance, we employed a 6-plex tandem mass tag approach for relative quantitative proteomic comparison of infected and uninfected rice seedlings 7 days post-inoculation with two genotypes: the resistant genotype 93-11 and the susceptible genotype Nipponbare. RESULTS: In total, 123 (77.2% up-regulated, 22.8% down-regulated) and 91 (94.5% up-regulated, 5.5% down-regulated) differentially expressed proteins (DEPs) accumulated in 93-11 and Nipponbare, respectively. Only 11 DEPs were both shared by the two genotypes. Clustering results showed that the protein regulation trends for the two genotypes were highly contrasting, which suggested obviously different interaction mechanisms of the host and the pathogen between 93 and 11 and Nipponbare. Further analysis showed that a noticeable aquaporin, PIP2-2, was sharply upregulated with a fold change (FC) of 109.2 in 93-11, which might be related to pathogen defense and the execution of bakanae disease resistance. Certain antifungal proteins were regulated in both 93-11 and Nipponbare with moderate FCs. These proteins might participate in protecting the cellular integrity required for basic growth of the susceptible genotype. Correlation analysis between the transcriptome and proteome revealed that Pearson correlation coefficients of R = 0.677 (P = 0.0005) and R = - 0.097 (P = 0.702) were obtained for 93-11 and Nipponbare, respectively. Our findings raised an intriguing result that a significant positive correlation only in the resistant genotype, while no correlation was found in the susceptible genotype. The differences in codon usage was hypothesized for the cause of the result. CONCLUSIONS: Quantitative proteomic analysis of the rice genotypes 93-11and Nipponbare after F. fujikuroi infection revealed that the aquaporin protein PIP2-2 might execute bakanae disease resistance. The difference in the correlation between the transcriptome and proteome might be due to the differences in codon usage between 93-11and Nipponbare. Overall, the protein regulation trends observed under bakanae disease stress are highly contrasting, and the molecular mechanisms of disease defense are obviously different between 93 and 11 and Nipponbare. In summary, these findings deepen our understanding of the functions of proteins induced by bakanae disease and the mechanisms of rice bakanae disease resistance.

Combination of twelve alleles at six quantitative trait loci determines grain weight in rice.

Grain weight, which is controlled by quantitative trait loci (QTLs), is one of the most important determinants of rice yield. Although many QTLs for grain weight have been identified, little is known about how different alleles in different QTLs coordinate to determine grain weight. In the present study, six grain-weight-QTLs were detected in seven mapping populations (two F2, one F3, and four recombinant inbred lines) developed by crossing 'Lemont', a United States japonica variety, with 'Yangdao 4', a Chinese indica variety. In each of the six loci, one allele from one parent increased grain weight and one allele from another parent decreased it. Thus, the 12 alleles at the six QTLs were subjected to regression analysis to examine whether they acted additively across loci leading to a linear relationship between the predicted breeding value of QTL and phenotype. Results suggested that a combination of the 12 alleles determined grain weight. In addition, plants carrying more grain-weight-increasing alleles had heavier grains than those carrying more grain-weight-decreasing alleles. This trend was consistent in the seven mapping populations. Thus, these six QTLs might be used in marker-assisted selection of grain weight, by stacking different grain-weight-increasing or -decreasing alleles.

Genotype by Environment Interaction: The Greatest Obstacle in Precise Determination of Rice Sheath Blight Resistance in the Field.

Rice sheath blight (SB) is the most serious rice disease in China. Resistance of rice to SB is a quantitative trait that is easily influenced by the environment; however, the extent of environmental influence on SB field resistance is still poorly understood. To identify rice genotype by environment interactions for SB resistance, 211 rice genotypes originating from 15 countries were planted and evaluated for SB field resistance in six different environments between 2012 and 2016 after inoculation with the SB pathogen isolate ZJ03. In addition, 65 rice genotypes were evaluated for SB field resistance in another four environments between 2013 and 2016 using ZJ03. Variations in SB field resistance were observed in different genotypes in different environments using objective and subjective rating methods. Two-way analysis of variance indicated that the interaction between the genotype and environment had a highly significant effect on SB field resistance. This analysis indicated that the environment had more of an influence than the genotype itself on SB field resistance, and the genotype by environment interaction was the greatest obstacle in obtaining a precise determination of SB field resistance in rice. The most resistant genotype, GD66, is a good candidate for genetic studies and breeding.

Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice.

Grain length is an important quantitative trait in rice (Oryza sativa L.) that influences both grain yield and exterior quality. Although many quantitative trait loci (QTLs) for grain length have been identified, it is still unclear how different alleles from different QTLs regulate grain length coordinately. To explore the mechanisms of QTL combination in the determination of grain length, five mapping populations, including two F2 populations, an F3 population, an F7 recombinant inbred line (RIL) population, and an F8 RIL population, were developed from the cross between the U.S. tropical japonica variety 'Lemont' and the Chinese indica variety 'Yangdao 4' and grown under different environmental conditions. Four QTLs (qGL-3-1, qGL-3-2, qGL-4, and qGL-7) for grain length were detected using both composite interval mapping and multiple interval mapping methods in the mapping populations. In each locus, there was an allele from one parent that increased grain length and another allele from another parent that decreased it. The eight alleles in the four QTLs were analyzed to determine whether these alleles act additively across loci, and lead to a linear relationship between the predicted breeding value of QTLs and phenotype. Linear regression analysis suggested that the combination of eight alleles determined grain length. Plants carrying more grain length-increasing alleles had longer grain length than those carrying more grain length-decreasing alleles. This trend was consistent in all five mapping populations and demonstrated the regulation of grain length by the four QTLs. Thus, these QTLs are ideal resources for modifying grain length in rice.

Neurotrophic effects of amyloid precursor protein peptide 165 in vitro.

Diabetic encephalopathy is one of the risk factors for Alzheimer's disease. Our previous findings indicated that animals with diabetic encephalopathy exhibit learning and memory impairment in addition to hippocampal neurodegeneration, both of which are ameliorated with amyloid precursor protein (APP) 17-mer (APP17) peptide treatment. Although APP17 is neuroprotective, it is susceptible to enzymatic degradation. Derived from the active sequence structure of APP17, we have previously structurally transformed and modified several APP5-mer peptides (APP328-332 [RERMS], APP 5). We have developed seven different derivatives of APP5, including several analogs. Results from the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay on human neuroblastoma SH-SY5Y cells in the present study showed that P165 was the most neuroprotective APP5 derivative. Furthermore, we tested the effects of APP5 and P165 on the number of cells and the release of lactate dehydrogenase. Western immunoblot analyses were also performed. The digestion rates of P165 and APP5 were determined by the pepsin digestion test. P165 resisted pepsin digestion significantly more than APP5. Therefore, P165 may be optimal for oral administration. Overall, these findings suggest that P165 may be a potential drug for the treatment of diabetic encephalopathy.

Development of a Novel Urine Alzheimer-Associated Neuronal Thread Protein ELISA Kit and Its Potential Use in the Diagnosis of Alzheimer's Disease.

BACKGROUND: Alzheimer's disease (AD) is an age-related chronic degenerative disease that damages the nervous system. A noninvasive and simple method for early detection of AD is extremely important for the diagnosis and prognosis of AD. Thus, we aimed to develop an enzyme-linked immunosorbent assay (ELISA) kit to detect urine Alzheimer-associated neuronal thread protein (AD7C-NTP), and to evaluate its clinical value for the diagnosis of AD. METHODS: Immunogenic AD7C-NTP peptide fragments were synthesized by the solid-phase method and used for immunizing mice or rabbits to generate anti-AD7C-NTP antibodies. The urine AD7C-NTP ELISA kit was then established; the generated mouse anti-AD7C-NTP antibody was used as a capture antibody, the biotin-labeled rabbit anti-AD7C-NTP antibody was used as a detection antibody, and avidin labeled by horseradish peroxidase was used as a substrate. The first morning urine specimens of 121 AD patients and 118 age-matched controls were collected, and the urine AD7C-NTP levels were detected by the above ELISA kit. RESULTS: Mouse and rabbit anti-AD7C-NTP antibody ELISA titer was found to be 1:8,000 and 1:32,000, respectively. A single band with a relative molecular mass of 41 kDa was found in human brain specimens by Western blot assay, which was identified as AD7C-NTP antibody. The urine AD7C-NTP concentration of the AD patients was higher than that of the age-matched controls, the sensitivity was 89.3% and the specificity was 84.7%. CONCLUSIONS: Our study demonstrated that our newly developed urine AD7C-NTP ELISA kit has suggested potential for diagnosing AD in a Chinese population, suggesting it may be a useful diagnostic kit for detecting early AD.

Rosiglitazone improves learning and memory ability in rats with type 2 diabetes through the insulin signaling pathway.

Diabetes mellitus (DM) is associated with moderate cognitive deficits and neurophysiologic and structural changes in the brain, a condition that is referred to as diabetic encephalopathy. This study was performed to investigate the effect of rosiglitazone (RSG) on learning and memory in rats with DM and elucidate possible mechanisms underlying this condition. Thirty-two male Sprague-Dawley rats were randomly divided into 4 groups: control (C, n = 8), DM (n = 8), RSG-administered control (C + RSG, n = 8) and RSG-administered DM groups (DM + RSG, n = 8). At 8 weeks after drug administration, Morris water maze was used to perform a training and probe trial to detect spatial learning and memory abilities. Western blot and immunohistochemistry were also used to detect changes in proteins involved in the insulin signal transduction pathway, such as the insulin receptor, insulin receptor substrate-1, protein kinase B, phosphorylated cAMP response element-binding protein and B-cell lymphoma 2, in the hippocampus of the rats. This study found that RSG could normalize the impaired insulin signal transduction in type 2 DM. The authors showed that RSG modulated the central insulin signaling axis.

The ß-amyloid precursor protein analog P165 improves impaired insulin signal transduction in type 2 diabetic rats.

This study was performed to understand whether P165 improves learning and memory by restoring insulin action using a diabetes mellitus (DM) rat model. A total of 34 male Sprague-Dawley rats were randomly divided into four groups: control group (n = 8), DM group (n = 8), DM group treated with a low dose of P165 (n = 9), and DM group treated with a high dose of P165 (n = 9). After 8 weeks of treatment, the animals were killed and the expression of insulin signaling-related proteins was examined in the hippocampus by Western blot and immunohistochemical staining. Administration of P165 in diabetic rats did not induce a significant effect on the fasting blood glucose level. The expression of IR, IRS-1, AKT, p-CREB, and Bcl-2 proteins was significantly enhanced in the hippocampus in diabetic rats. Treatment of diabetic rats with P165 at both low and high doses significantly attenuated the expression levels of these proteins. Moreover, immunohistochemistry staining showed that IR, IRS-1, AKT, p-CREB, and Bcl-2 were abundantly expressed in the CA1 region of the hippocampus. The number of cells positively stained for the above proteins was significantly higher in diabetic tissues compared to control tissues, whereas P165 treatments induced a significant reduction in the expression of these proteins. The expression of IR, IRS-1, AKT, p-CREB, and Bcl-2 was enhanced in DM rats, and administration of P165 normalized the expression of these molecules, suggesting that P165 can improve impaired insulin signal transduction.

Effects of analog P165 of amyloid precursor protein 5-mer peptide on learning, memory and brain insulin receptors in the rat model of cognitive decline.

We aim to study the therapeutic efficacy of analog P165 of amyloid precursor protein 5-mer peptide in streptozotocin (STZ)-induced cognitive decline model. Rats were divided into four groups: control, STZ, STZ+P165, and STZ+rosiglitazone (RSG). STZ model was established by intracerebroventricular injection of STZ. Three weeks following surgery, rats received daily gavage administration of distilled water (control and STZ groups), P165 (STZ+P165), or RSG (STZ+RSG) for four consecutive weeks. Learning and memory abilities were assessed with the Morris water maze test. Insulin-like growth factor-1 (IGF-1) was detected by ELISA. Expressions of insulin receptor-ß (IR-ß), insulin receptor substrate-1 (IRS-1), serine/threonine kinase (Akt), and phosphorylation of CREB (p-CREB) were observed by immunohistochemistry. Both P165 and RSG significantly reduced the escape latency relative to the STZ group (P165, P < 0.05; RSG, P < 0.01). STZ model rats had reduced levels of IGF-1 relative to control, and this deficit was attenuated in the STZ+P165 group (P < 0.01). IR and IRS-1 were elevated in STZ rats, and these levels were restored to near control in the STZ+P165 and STZ+RSG groups (P < 0.01). Our findings demonstrate that P165 and RSG improved hippocampus-dependent spatial learning and memory in STZ rats by regulating the insulin signaling pathway.

Comparison of physiological and yield traits between purple- and white-pericarp rice using SLs.

Five physiological and eleven yield traits of two pairs of sister lines generated from a high generation with similar genetic background (SLs) for purple pericarp were investigated to explore the reasons behind low-yield production of colored rice. Of the five physiological traits examined, except grain anthocyanin content, there were generally similar trends between the P (purple-pericarp) lines and the corresponding W (white-pericarp) lines over two seasons (in the year 2009 and 2010 separately). The results demonstrated that the chlorophyll content of flag leaves, the net photosynthetic rate of flag leaves, and the grain anthocyanin content could be easily influenced by the environment. The physiological functions of the traits for the P lines were more active than those of the corresponding W lines in the year 2010. The grain anthocyanin content of the P lines was much greater in the year 2010 than in the year 2009 during the growth period. The investigation of yield traits revealed that the P lines had reduced 1000-grain weight, yield per plot and grain/brown rice thickness compared to the W lines. A difference comparison of these traits and a source-sink and transportation relationship analysis for these SLs suggested that small sink size was a key reason behind yield reduction of purple pericarp rice.

Amyloid precursor protein 17-mer peptide ameliorates hippocampal neurodegeneration in ovariectomized rats.

Amyloid precursor protein 17-mer peptide (APP 17-mer peptide) is an active fragment of amyloid precursor protein (APP) in the nervous system that mediates various neuronal activities and functions. Estrogen deprivation during menopause disproportionately increases the risk of many neurodegenerative diseases, including Alzheimer's disease (AD). Currently, therapeutic approaches to treat Alzheimer's disease are less than effective. We have previously shown that APP 17-mer peptide participates in neuronal function in aged-hippocampal neurons. In this study, we investigate the effects of estrogen and APP 17-mer peptide on hippocampal neurodegeneration in ovariectomized rats. The results showed that decreases in learning and memory function in ovariectomized rats were associated with degenerative changes in hippocampal neurons. Estrogen deprivation also enhances apoptotic cell death and decreases expression of the anti-apoptotic protein Bcl-2. Administration of APP 17-mer peptide ameliorates changes associated with estrogen deprivation without affecting estrogen levels. These results indicate that APP 17-mer peptide may prevent neurodegeneration caused by estrogen deficiency. Our findings also suggest that estrogen deficiency-induced neurodegeneration is regulated by activation of an intracellular "cross talk" signaling pathway, connecting neurotrophins with APP 17-mer peptide.

Quantitative trait Loci for panicle layer uniformity identified in doubled haploid lines of rice in two environments.

Uniformity of stem height in rice directly affects crop yield potential and appearance, and has become a vital index for rice improvement. In the present study, a doubled haploid (DH) population, derived from a cross between japonica rice Chunjiang 06 and indica rice TN1 was used to analyze the quantitative trait locus (QTL) for three related traits of panicle-layer-uniformity; that is, the tallest panicle height, the lowest panicle height and panicle layer disuniformity in two locations: Hangzhou (HZ) and Hainan (HN). A total of 16 QTLs for three traits distributed on eight chromosomes were detected in two different environments. Two QTLs, qTPH-4 and qTPH-8 were co-located with the QTLs for qLPH-4 and qLPH-8, which were only significant in the HZ environment, whereas the qTPH-6 and qLPH-6 located at the same interval were only significant in the HN environment. Two QTLs, qPLD-10-1 and qPLD-10-2, were closely linked to qTPH-10, and they might have been at the same locus. One QTL, qPLD-3, was detected in both environments, explaining more than 23% of the phenotypic variations. The CJ06 allele of qPLD-3 could increase the panicle layer disuniformity by 9.23 and 4.74 cm in the HZ and HN environments. Except for qPLD-3, almost all other QTLs for the same trait were detected only in one environment, indicating that these three traits were dramatically affected by environmental factors. The results may be useful for elucidation of the molecular mechanism of panicle-layer-uniformity and marker assisted breeding for super-rice.

Mapping QTLs for heading synchrony in a doubled haploid population of rice in two environments.

Simultaneous heading of plants within the same rice variety, also refer to heading synchrony, is an important factor that affects simultaneous ripening of the variety. Understanding of the genetic basis of heading synchrony may contribute to molecular breeding of rice with simultaneous heading and ripening. In the present study, a doubled haploid (DH) population, derived from a cross between Chunjiang 06 and TN1 was used to analyze quantitative trait locus (QTL) for heading synchrony related traits, i.e., early heading date (EHD), late heading date (LHD), heading asynchrony (HAS), and tiller number (PN). A total of 19 QTLs for four traits distributed on nine chromosomes were detected in two environments. One QTL, qHAS-8 for HAS, explained 27.7% of the phenotypic variation, co-located with the QTLs for EHD and LHD, but it was only significant under long-day conditions in Hangzhou, China. The other three QTLs, qHAS-6, qHAS-9, and qHAS-10, were identified under short-day conditions in Hainan, China, each of which explained about 11% of the phenotypic variation. Two of them, qHAS-6 and qHAS-9, were co-located with the QTLs for EHD and LHD. Two QTLs, qPN-4 and qPN-5 for PN, were detected in Hangzhou, and qPN-5 was also detected in Hainan. However, none of them was co-located with QTLs for EHD, LHD, and HAS, suggesting that PN and HAS were controlled by different genetic factors. The results of this study can be useful in marker assisted breeding for improvement of heading synchrony.

[Effect of GEPT extracts on spatial learning ability of APPV717I transgenic mice at early stage of dementia and its possible mechanism].

OBJECTIVE: To investigate the effect of GEPT extracts on spatial learning ability of the APPV717I transgenic mice at the early stage of dementia and its possible mechanism. METHOD: Thirty APPV717I transgenic mice were randomly divided into three GEPT groups by intragastric administration at doses of 0.075, 0.15, 0.3 g x kg(-1) x d(-1), and a donepezil group by intragastric administration of 0.92 mg x kg(-1) x d(-1), a APPV717I transgenic model group and a normal group by intragastric administration of distilled water. A four-month treatment regimen with GEPT extracts was administered to APPV717I transgenic mice. Results showed that Spatial memory ability was measured in Morris water maze. The total area covered by shank1 and integral optical density in CA1 subfield within the hippocampus were determined using immunohistochemical stains and Image-Pro plus analysis. The ultrastructure of synapses in the hippocampal CA1 region was observed by electronic microscope. RESULT: After a four-month of GEPT treatment regimen, the mean escape latency period were significantly shortened (P < 0.05), and the target quadrant search time were significantly increased (P < 0.05) compared to the APPV717I transgenic model mice. There was a significant higher level in the expression of shank1 detected in the hippocampal CA1 area of APPV717I transgenic mice associated with an increase in the number of synapses treated with GEPT than the levels in the APPV717I transgenic model mice alone. The total area of positive cells covered by shank1 and their integral optical density in the hippocampal CA1 area of the APPV717I transgenic mice treated with GEPT were significantly increased more than those of the APPV717I transgenic model mice. CONCLUSION: GEPT extracts can obviously improve the spatial memory ability of APPV717I transgenic mice at the early stage of dementia through enhancing the number of synapses and the expression of shank1, and this might lead to development of novel treatment therapies for the memory loss associated with AD.

Coexistences of insulin signaling-related proteins and choline acetyltransferase in neurons.

Type 2 diabetes recently has been identified as a risk factor for developing Alzheimer's disease (AD). The main reason for this appears to be insulin signaling failure in the brain. Furthermore, cholinergic neurons are particularly affected in the brains of AD patients. The aim of the present study is to investigate if insulin signaling-related proteins are co-located with cholinergic neuron in the CA1 region of hippocampus of mice, which could explain the early loss of cholinergic neurons in AD. Using immunohistochemistry, the insulin signaling-related proteins, such as insulin receptor (InsR), insulin receptor substrate-1 (IRS-1), protein kinase B (PKB, also named Akt), glycogen synthase kinase-3beta (GSK-3beta) and insulin-degrading enzyme (IDE) were analysed. Choline acetyltransferase (ChAT) was selected as a marker of cholinergic neurons. In the CA1 region of hippocampus of mice, several of the insulin signaling-related proteins we had chosen are co-located with ChAT, and most double immunoreactive positive cells were pyramidal cells. The coexistences indicated that the insulin signaling may play an important part in the activities of cholinergic neurons, and the impairment of the pathway may be important in the mechanisms that underlie neurodegeneration in AD.

Synonymous codon usage and gene function are strongly related in Oryza sativa.

The relationship between codon usage and gene function was investigated while considering a dataset of 2106 nuclear genes of Oryza sativa. The results of standard chi(2) test and F-statistic showed that for every 59 synonymous codons, a strongly significant association with gene functional categories existed in rice, indicating that codon usage was generally coordinated with gene function whether it was at the level of individual amino acids or at the level of nucleotides. However, it could not be directly said that the use of every codons differed significantly between any two functional categories. Notably, there existed large difference both in selection for biased codons or selection intensity among functional categories. Therefore, we identified at least two classes of genes: one group of genes, mainly belonging to the "METABOLISM" category, was tended to use G- and/or C-ending codons while the other was more biased to choose codons ending with A and/or U. The latter group contained genes of various functions, especially those genes classified into the "Nuclear Structure" category. These observations will be more important for molecular genetic engineering and genome functional annotation.

A novel neurotrophic peptide: APP63-73.

The objective of this study was to find out which N-terminal segment/s of amyloid precursor protein (APP) has any neurotrophic properties, since soluble APP-alpha (sAPP-alpha) has neurotrophic effects. We investigated neurotrophic properties of eight peptide segments of N-terminal APP. The APP63-73 was able to enhance neuronal growth; augment axonal and cell body growth in human neuroblastoma cell line, SH-SY5Y. Neurotrophic effects of chronic APP63-73 treatment were assessed in vivo using streptozotocin-induced diabetes and ovariectomized rats. Thus, this study demonstrated that APP63-73 peptide has neurotrophic effects both in vivo and in vitro.