Rice Storage Proteins:Focus on Composition,Distribution,Genetic Improvement and Effects on Rice Quality

Rice storage proteins(RSPs)are plant proteins with high nutritional quality.As the second largest type of storage substance in rice,it is the main source of protein intake for people who consume rice as a staple food.The content and type of RSPs affect the appearance,processing quality and eating quality of rice.These effects involve the distribution of RSPs in rice grains as well as the interactions of RSPs with other components such as starch in rice grains.In the past two decades,some progress has been made in the genetic improvement of RSPs.However,the determination mechanism of protein content and composition in rice is still unclear,and the mechanism of the effect of RSPs on rice quality has not been elucidated.In this review,the composition,biosynthesis and distribution of RSPs,and quantitative trait loci mapping and cloning of RSP genes are summarized,the research progress of the influence of RSPs and their components on rice quality are reviewed,and the research directions in the future are proposed.

Predicting intrinsic disorder in proteins： an overview

The discovery of intrinsically disordered proteins （IDP） （i.e., biologically active proteins that do not possess stable secondary and/or tertiary structures） came as an unexpected surprise, as the existence of such proteins is in contradiction to the traditional ＂sequence →structure →function＂ paradigm. Accurate prediction of a protein＇s predisposition to be intrinsically disordered is a necessary prerequisite for the further understanding of principles and mechanisms of protein folding and function, and is a key for the elaboration of a new structural and functional hierarchy of proteins. Therefore, prediction of IDPs has attracted the attention of many researchers, and a number of prediction tools have been developed. Predictions of disorder, in turn, are playing major roles in directing laboratory experiments that are leading to the discovery of ever more disordered proteins, and thereby leading to a positive feedback loop in the investigation of these proteins. In this review of algorithms for intrinsic disorder prediction, the basic concepts of various prediction methods for IDPs are summarized, the strengths and shortcomings of many of the methods are analyzed, and the difficulties and directions of future development of IDP prediction techniques are discussed.

Water relations and an expression analysis of plasma membrane intrinsic proteins in sensitive and tolerant rice during chilling and recovery

A symptom of chilling injury is development of water deficit in shoots, resulting from an imbalance of water transport and transpiration. In this work, two rice varieties （Oryza sativa L. var. Wasetoitsu and Somewake） seedlings were chilled at 7 ℃, followed by recovery at 28 ℃. Based on the growth phenotype and electrolyte leakage tests, Somewake was shown to be a chilling-tolerant variety, and Wasetoitsu a chilling-sensitive one. The chilling stress reduced markedly the relative water content （RWC） of leaves, accumulative transpiration and osmotic root hydraulic conductivity （Lp） in both varieties. But when retumed to 28 ℃, the water relation balance of Somewake recovered better. The mRNA expression profile of all the 11 plasma membrane intrinsic proteins （PIPs）, a subgroup of aquaporins, was subsequently determined by real-time reverse transcription （RT）-PCR with TaqMan-minor grove binder （MGB） probes derived from rice var. Nipponbare during chilling treatment and recovery. Most of the PIP genes was down-regulated at the low temperature, and recovered at the warm temperature. The relative expression of some PIPs in both Somewake and Wasetoitsu decreased in parallel during the chilling. However during the recovery, the relative expression of OsPIP1;1, OsPIP2;1, OsPIP2;7 in shoots and OsPIP1：1, OsPIP2：1 in roots were significantly higher in Somewake than Wasetoitsu. This supports the role of PIPs in re-establishing water balance after chilling conditions. We discuss the diversified roles played by members of the aquaporin PIP subfamily in plant chilling tolerance depending on aquaporin isoforms, plant tissue and the stage of chilling duration.

Genetic variation of circHIBADH enhances prostate cancer risk through regulating HNRNPA1-related RNA splicing

The current study aimed to investigate associations of circRNAs and related genetic variants with the risk of prostate cancer(PCa)as well as to elucidate biological mechanisms underlying the associations.We first compared expression levels of circRNAs between 25 paired PCa and adjacent normal tissues to identify riskassociated circRNAs by using the MiOncoCirc database.We then used logistic regression models to evaluate associations between genetic variants in candidate circRNAs and PCa risk among 4662 prostate cancer patients and 3114 healthy controls,and identified circHIBADH rs11973492 T>C as a significant risk-associated variant(odds ratio=1.20,95%confidence interval:1.08-1.34,P=7.06×10^(-4))in a dominant genetic model,which altered the secondary structure of the corresponding RNA chain.In the in silico analysis,we found that circHIBADH sponged and silenced 21 RNA-binding proteins(RBPs)enriched in the RNA splicing pathway,among which HNRNPA1 was identified and validated as a hub RBP using an external RNA-sequencing data as well as the in-house(four tissue samples)and publicly available single-cell transcriptomes.Additionally,we demonstrated that HNRNPA1 influenced hallmarks including MYC target,DNA repair,and E2F target signaling pathways,thereby promoting carcinogenesis.In conclusion,genetic variants in circHIBADH may act as sponges and inhibitors of RNA splicing-associated RBPs including HNRNPA1,playing an oncogenic role in PCa.

Prediction of Intrinsically Disordered Proteins with a Low Computational Complexity Method

The prediction of intrinsically disordered proteins is a hot research area in bio-information.Due to the high cost of experimental methods to evaluate disordered regions of protein sequences,it is becoming increasingly important to predict those regions through computational methods.In this paper,we developed a novel scheme by employing sequence complexity to calculate six features for each residue of a protein sequence,which includes the Shannon entropy,the topological entropy,the sample entropy and three amino acid preferences including Remark 465,Deleage/Roux,and Bfactor(2STD).Particularly,we introduced the sample entropy for calculating time series complexity by mapping the amino acid sequence to a time series of 0-9.To our knowledge,the sample entropy has not been previously used for predicting IDPs and hence is being used for the first time in our study.In addition,the scheme used a properly sized sliding window in every protein sequence which greatly improved the prediction performance.Finally,we used seven machine learning algorithms and tested with 10-fold cross-validation to get the results on the dataset R80 collected by Yang et al.and of the dataset DIS1556 from the Database of Protein Disorder(DisProt)(https://www.disprot.org)containing experimentally determined intrinsically disordered proteins(IDPs).The results showed that k-Nearest Neighbor was more appropriate and an overall prediction accuracy of 92%.Furthermore,our method just used six features and hence required lower computational complexity.

Prediction of Intrinsically Disordered Proteins Based on Deep Neural Network-ResNet18

Accurately,reliably and rapidly identifying intrinsically disordered(IDPs)proteins is essential as they often play important roles in various human diseases;moreover,they are related to numerous important biological activities.However,current computational methods have yet to develop a network that is sufficiently deep tomake predictions about IDPs and demonstrate an improvement in performance.During this study,we constructed a deep neural network that consisted of five identical variant models,ResNet18,combined with an MLP network,for classification.Resnet18 was applied for the first time as a deep model for predicting IDPs,which allowed the extraction of information fromIDP residues in greater detail and depth,and this information was then passed through the MLP network for the final identification process.Two well-known datasets,MXD494 and R80,were used as the blind independent datasets to compare their performance with that of our method.The simulation results showed that Matthew’s correlation coefficient obtained using our deep network model was 0.517 on the blind R80 dataset and 0.450 on the MXD494 dataset;thus,our method outperformed existing methods.

Nodulin 26-like intrinsic protein Cs NIP2;2 is a silicon influx transporter in Cucumis sativus L.

Nodulin 26-like intrinsic proteins(NIPs) are a family of channel-forming transmembrane proteins that function in the transport of water and other small molecules.Some NIPs can mediate silicon transport across plasma membranes and lead to silicon accumulation in plants,which is beneficial for the growth and development of plants.Cucumber is one of the most widely consumed vegetables;however,the functions of NIPs in this crop are still largely unknown.Here,we report the functional characteristics of Cs NIP2;2.It was found that Cs NIP2;2 is a tandem repeat of Cs NIP2;1,which had been demonstrated to be a silicon influx transporter gene.Cs NIP2;2 has a selectivity filter composed of cysteine,serine,glycine and arginine(CSGR),which is different from all previously characterized silicon influx transporters in higher plants at the second helix position.Xenopus laevis oocytes injected with Cs NIP2;2 c RNA demonstrated a higher uptake of silicon than the control,and the uptake remained unchanged under low temperature.Cs NIP2;2 was found to be expressed in the root,stem,lamina and petiole,and exogenous silicon treatment decreased its expression in the stem but not in other tissues.Transient expression of Cs NIP2;2-e GFP fusion sequence in onion epidermal cells showed that Cs NIP2;2 was localized to the cell nucleus,plasma membrane and an unknown structure inside the cell.The results suggest that Cs NIP2;2 is a silicon influx transporter in cucumber,and its subcellular localization and the selectivity filter are different from those of the previously characterized silicon influx transporters in other plants.These findings may be helpful for understanding the functions of NIPs in cucumber plants.

Change of Water-Soluble-Protein, Urea-Soluble-Protein and Membrane Intrinsic Protein in Human Senile Cataract

Purpose:To analyze the change of water-soluble-protein(WSP),urea-soluble-protein(USP)and membrane intrinsic protein(MIP)in human senile catarct.Methods:The water-soluble-fractions(WSF)were prepared basically according to the method of Kibbelear,et al.But in this study,5mmol/LB-mercaptoethanol was added to the buffer solution.The urea-soluble-fractions(USF)were pre-pared basically according to the method of Kibbelear,et al.Lens fiber cell mem-branes were purified basically according to the method of Russell,et al.SDS-PAGE were performed according to the procedure of Laemmili,et al.using re-solving gel13%and3%stacking gel.Results:The WSPwas fractionated intoHM^+α^-,β1-3^-andγ-crystallin compo-nents.In nuclear cataractous lenses HM^+α^-and B-crystallin increase,while r-crystallin decrease.The USP from clear lenses contains mainlyαβchains of22KD,whereas in cataractous lenses,especially in nuclear cataractous lenses,the relative amount of the 28-and23KDpolypeptide(the components of β-crys-tallin)increased markedly.Lens fiber cell MIP,clear lens and cataract lens con-tained the main polypeptide of 27KD(MIP)and23KD(MP23).Conclusion:The water-insolube protein,whether in quantity or in quality,plays an important role in cataract formation.Eye Science 1995,11:124-127.

Genetic Diversity of Seed Storage Proteins in Different Ecotype Varieties of japonica Rice and Its Application

One hundred and fifteen varieties （including cultivars and lines） with different ecotypes in japonica rice （Oryza sativa L.） were analyzed for endosperm storage proteins by sodium dodecyl sulfate polyacrylamide gel electrophoresis （SDS-PAGE） to estimate their genetic diversity for the purpose of genetic improving and variety identification. Nineteen types of profile were identified according to 1） presence/absence of 65 kDa bands, 2） staining intensity of 70, 60, 57, 37-39, 22-23, 13 and 10 kDa bands, 3） migration velocity of 35 kDa （α-4） and 4） band number at 57 kDa location. An unweighted-pair group average method with arithmetic mean （UPGMA） dendregram based on the cluster analysis of genetic similarity of the protein bands showed a small genetic variation among the tested materials, with the similarity coefficients varying between 0.75 and 1.00. Three distinct groups were identified from the cluster analysis of the rice varieties studied at the similarity coefficient level of 0.894. The first group included eight varieties with high amylose content, the second group contained fifteen varieties with high protein content, and the third group had the remaining ninety-two varieties, which accounted for 80% of the total materials. Clear relationship between ecotypes distinguished by maturity and groups revealed by cluster analysis was not found in this study. Only the group of high amylose linked with medium-maturity medium japonica ecotype. The bands of 70 kDa and 65 kDa can be used as protein markers to identify F1 seed purity of japonica hybrid rice Liuyanyou 422.

Genetic Polymorphism of Milk Protein and Their Relationships with Milking Performances in Chinese Yak

The milk protein polymorphisms were typed by polyacrylamide gel electrophoresis (PAGE)from 109 Maiwa and 100 Jiulong yaks, and the relationships among milk protein polymorphisms,milking traits and milk protein compositions were studied. The results showed thatβ-CN,κ-CN andα-La were monomorphic,αs1-CN andβ-Lg were polymorphic, the dominantgenes were αs1-CN D and β-Lg E,respectively. The frequencies of αs1-CN D were 0.8073and 0.6000 and β-Lg E were 0.9770 and 0.9700 in two populations respectively.The meanheterozygosities were 0.1021 and 0.1867 in two populations. No significant effects onmilking traits and milk protein compositions were observed except for αs1-CN locus onfat percentage in Jiulong yak.

Analysis of Genetic Variation of Seed Proteins in the Genus Vigna and among Its Relatives Cultivated in China

The genetic variation of seed proteins was assayed by SDSPAGE for 24 cultivars belonging to 5 species in Vigna and 7 species in its 7 relative genera cultivated in China. There were 48 polymorphic subunit bands discriminated from electrophoretic profiles. Two dendrograms were constructed by UPGMA cluster analyses using PHYLIP3.6 respectively. Variation among genera or species was larger than that among lower taxonomic categories level. Little variation among cuhivars of yardlong bean （Vigna sesquipedalis ） and small variation of lablab （ Lablab purpureus）, pea （Pisum sativum）, or sword bean （Canavalia gladiata）, but large variation of soybean or rice bean in their origin of China were all revealed. The seed proteins profiles of traditionally regarded as typical species in Vigna such as yardlong bean, rice bean and small bean were more similar than mungbean （Vigna radiata） and black gram （Vigna mungo） were. Mungbean and black gram had distinct seed proteins pattern, they should be of two species.

Genetic Analysis of the P1 Region of Human Enterovirus 71 Strains and Expression of the 55 F StrainVP1 Protein

Enterovirus 71 （EV71） is a member of the Entero-virus genus of the Picomaviridae family and is the major cause of Hand, foot, and mouth disease （HFMD） in children. Different strains from Gansu were cloned and the P1 protein was sequenced and analysed. Results indicate that there are three kinds of EV71 infections prevalent in Gansu. The VP 1 protein from one of these strains, 55F, was expressed. The recombinant protein was expressed with high level and reacted specifically with the EV71 patient antibody, the recombinant protein was also applied to raise antiserum in rabbits and after the fourth injection a high titer of antiserum was detected by ELISA assay. These data are useful for further clarification of prevalent EV71 strains in the north of China at the molecular level and provide a basis for EV71 diagnosis.

Genetic polymorphisms of MAFK, encoding a small Maf protein, are associated with susceptibility to ulcerative colitis in Japan

To investigate whether single nucleotide polymorphisms in maf protein K (MAFK), which encodes the MAFK, lead to increased susceptibility to ulcerative colitis in the Japanese population. METHODSThis case control study examined the associations between MAFK single nucleotide polymorphisms (rs4268033 G>A, rs3735656 T>C and rs10226620 C>T) and ulcerative colitis susceptibility in 174 patients with ulcerative colitis (UC) cases, and 748 subjects without no lower abdominal symptoms, diarrhea or hematochezia (controls). In addition, as the second controls, we set 360 subjects, who have an irregular bowel movement without abnormal lower endoscopic findings (IBM controls). RESULTSThe genotype frequency of rs4268033 AA and allelic frequency of the rs4268033A allele were significantly higher in the UC cases than in both controls (P = 0.0005 and < 0.0001, P = 0.015 and 0.0027 vs controls and IBM controls, respectively). Logistic regression analysis after adjustment for age and gender showed that the rs4268033 AA and rs3735656 CC genotypes were significantly associated with susceptibility to UC development (OR = 2.63, 95%CI: 1.61-4.30, P = 0.0001 and OR = 1.81; 95%CI: 1.12-2.94, P = 0.015, respectively). Similar findings were observed by the comparison with IBM controls. In addition, the rs4268033 AA genotype was significantly associated with all phenotypes of UC except early onset. There was no significant association between rs10226620 and ulcerative colitis. CONCLUSIONOur results provide the first evidence that MAFK genetic polymorphisms are significantly associated with susceptibility to UC development. In particular, rs4268033 is closely associated with an increased risk for the development of UC.

Robot navigation system using intrinsic evolvable hardware

Recently there has been great interest in the idea that evolvable system based on the principle of artifcial intelligence can be used to continuously and autonomously adapt the behaviour of physically embedded systems such as autonomous mobile robots and intelligent home devices. Meanwhile, we have seen the introduction of evolvable hardware(EHW): new integrated electronic circuits that are able to continuously evolve to adapt the chages in the environment implemented by evolutionary algorithms such as genetic algorithm(GA) and reinforcement learning. This paper concentrates on developing a robotic navigation system whose basic behaviours are obstacle avoidance and light source navigation. The results demonstrate that the intrinsic evolvable hardware system is able to create the stable robotiiuc behaviours as required in the real world instead of the traditional hardware systems.

Efficient and Soluble Expression of α Protein of Clostridium perfringens and Preparation of Genetic Engineering Subunit Vaccine

[Objective] The paper was to develop genetic engineering vaccine that can express α exotoxin antigen protein efficiently without destroying its immunogenicity for preventing and controlling the diseases caused by Clostridium perfringens. [Method] Efficiently expressed soluble recombinant α protein was obtained from Escherichia coli expression system by optimizing codon,removing signal peptide,selecting sequences with better hydrophilicity and antigenicity,and optimizing expression conditions. [Result] Mice obtained higher serum antibody level when immunized by α protein,and the immune protection rates against type A,type B,type C and type D C. perfringens were 100%,90%,85% and 90%,respectively. The antibody titer of mice within 7-14 d after the third immunization reached the peak. [Conclusion]The α protein has good immunogenicity,and can be further used to develop genetic engineering subunit vaccines for preventing C. perfringens.

COVID-2019 Genome Sequence Analysis: Phylogenetic Molecular Evolution and Docking of Structural Modelling of Receptor Binding Domain of S Protein in Active Site of ACE2

Meanwhile the outbreak of the Covid-19 since December, 2019 in China, it has killed more than a hundred thousand of people of all ages and sex across the globe in a short span of time. On the bases of this study the nearest family member of the virus and its receptor binding domain of S protein including its model structure and function of its active sites were naked through Multiple Sequence Alignment, modelling and molecular docking software accordingly its repository genome databases. The virus was genetically associated and molecular evolutionary related with (RaTG13) and it scores 96.12% homology with 99% query coverage followed by bat-SL-CoVZC45 and bat-SL-CoVZXC21 notch 89.12% and 88.65% respectively. However, SARS and MERS corona type virus those outbreak earlier respectively less likely family members of 2019-nCoV. Though the virus has a close genetic association with those previous SARS coronaviruses, and certainly the spike protein used as a binding receptor to fight against human receptor protein of ACE 2, but on the basis of FRODOC and HDOCK server analysis multi favorable active sites of S protein was discovered such GLN493 shown as a finest key in both model and possessed a unique traits on it resulting unexpected rate of transmission and number of people died while compared to the previous one. TYR500, ASN501, GLN498 and others residues preferably contemplate site also. In particular, the diversity of the virus in the world may be due to the genome structure of the virus and S gene changed over the time, across the world against to host of human genetic diversity, which may be more robust, and may be a new and unique feature. This is because it is characterized close to contact with distance divergence between wild type novel coronavirus which was risen from China against to the genomes from Lebanon, India, Italy, and USA and so on. Thus, the World Health Organization and its researchers should focus on immunologic research and effective drug and vaccine development that will help to address the epidemiology of the virus, which can provide a long-term solution.

Genetic Characteristics of <i>Citrus Tristeza Virus</i>Isolates from Cultivated Citrus in China Based on Coat Protein Gene

Citrus tristeza virus (CTV) is an important citrus pathogen causing considerable economic loss to citrus production. Knowledge on genetic evolutionary of the CTV population in China remains limited. In this study, 1439 samples were collected from nine citrus-producing areas of China. The coat protein (CP) genes of CTV were amplified by RT-PCR, and sequenced to analyze the genetic evolution. Analysis of the base composition showed an AU preference pattern, with the GC content was lower than AU content. Nine CTV populations were clustered into one clade in neighbor-joining (NJ) tree, indicative of a close phylogenetic relationship among the populations in China. Analysis of molecular variation (AMOVA) revealed that 77.72% genetic variations of CTV populations were observed among populations, with an FST value of 0.223. The values of dN/dS and neutrality test of CP gene were ranged from 0.016 to 0.082 and -1.377 to 1.456, respectively, the results suggesting that all of nine CTV populations were relatively constantly maintained under purifying selection. Our study demonstrated the genetic characteristics and molecular evolution relationship of CTV populations in China, and provided a theoretical basis for scientific control of CTV.

Investigation of Aegilops umbellulata for stripe rust resistance,heading date,and the contents of iron,zinc,and gluten protein

Aegilops umbellulata(UU)is a wheat wild relative that has potential use in the genetic improvement of wheat.In this study,46 Ae.umbellulata accessions were investigated for stripe rust resistance,heading date(HD),and the contents of iron(Fe),zinc(Zn),and seed gluten proteins.Forty-two of the accessions were classified as resistant to stripe rust,while the other four accessions were classified as susceptible to stripe rust in four environments.The average HD of Ae.umbellulata was significantly longer than that of three common wheat cultivars(180.9 d vs.137.0 d),with the exception of PI226500(138.9 d).The Ae.umbellulata accessions also showed high variability in Fe(69.74-348.09 mg kg^(-1))and Zn(49.83-101.65 mg kg^(-1))contents.Three accessions(viz.,PI542362,PI542363,and PI554399)showed relatively higher Fe(230.96-348.09 mg kg^(-1))and Zn(92.46-101.65 mg kg^(-1))contents than the others.The Fe content of Ae.umbellulata was similar to those of Ae.comosa and Ae.markgrafii but higher than those of Ae.tauschii and common wheat.Aegilops umbellulata showed a higher Zn content than Ae.tauschii,Ae.comosa,and common wheat,but a lower content than Ae.markgrafii.Furthermore,Ae.umbellulata had the highest proportion of γ-gliadin among all the species investigated(Ae.umbellulata vs.other species=mean 72.11%vs.49.37%;range:55.33-86.99%vs.29.60-67.91%).These results demonstrated that Ae.umbellulata exhibits great diversity in the investigated traits,so it can provide a potential gene pool for the genetic improvement of these traits in wheat.

2017年~2023年河南省猪圆环病毒2型的流行调查及遗传变异分析

为了解河南省猪圆环病毒2型(PCV2)的流行及变异情况,本研究采集该地区规模化猪场2017年1月~2023年6月939份表现为繁殖障碍和呼吸道症状的病猪血液或组织样品,采用PCR方法进行PCV2检测。结果显示,PCV2总阳性率为31.42%(295/939);2017年~2022年PCV2阳性率逐年降低,分别为58.65%(61/104)、49.48%(48/97)、28.57%(36/126)、16.15%(31/192)、11.52%(19/165)和7.87%(7/89),而2023年迅速上升,达到56.02%(93/166)。利用PCR扩增29份PCV2阳性样品的全基因组序列并测序,采用Meg Align分析PCV2流行株全基因组序列与Gen Bank中4株PCV2参考株全基因组序列的同源性;采用MEGA 11软件利用NJ法构建PCV2流行株ORF2基因与Gen Bank中24株PCV2参考株ORF2基因的系统发育树;采用Meg Align分析PCV2流行株Cap蛋白氨基酸序列的变异特征;采用RDP4和Sim Plot分析PCV2流行株全基因组的重组特征。全基因组同源性分析结果显示,本研究鉴定的PCV2全基因组序列之间的同源性为95.1%~100%,与PCV2参考株的同源性为93.7%~98.6%,其中与疫苗株PCV2a LG(HM038034)、PCV2b DBN-SX07-2(HM641752)和PCV2d SH(AY686763)的同源性分别为94.8%~96.2%、95.3%~98.6%和96.6%~97.8%,与来自丹麦的代表株PCV2c DK1980PMWSfree株(EU148503)的同源性为93.7%~95.1%。此外,两株2023年的PCV2流行株HN230522和HN231217与参考株的同源性仅为94.5%~97.9%。进化树结果显示,有19株PCV2流行株与PCV2d基因型参考株聚为一个分支,10株与PCV2b基因型参考株聚为一个分支。其中今年出现的PCV2流行株HN230522和HN231217株虽然属于PCV2d基因型,但处于一个相对独立的分支。Cap蛋白氨基酸序列分析结果显示,与疫苗株PCV2a LG(HM038034)、PCV2b DBN-SX07-2(HM641752)和PCV2d SH株(AY686763)相比,部分PCV2流行株在构象表位区(aa47~aa85和aa165~aa200)存在R^(48)H、A^(59)K/R、G^(85)D、P^(151)T、N^(178)S、R^(180)K和G^(197)S的突变,在基因型特异性结构域(aa190~aa191/aa206/aa210)存在K^(206)I的突变,且HN230522株在核定位信号区(NLS)(aa1~aa41)存在特有的V^(30)L突变,HN231217株在基因型特异性结构域(aa89~aa91)存在特有的^(89)RTV^(91)残基。重组分析结果显示,有高达65.52%(19/29)的PCV2流行株存在疑似的重组片段,且重组片段全部位于ORF1中。上述结果表明,今年以来河南省猪场PCV2阳性率快速上升,且流行株出现了较大变异,应加强对PCV2流行动态和遗传变异的监测。本研究为河南省PCV2分子流行病学、疫苗研究提供了参考依据。

生物合成法生产麦角硫因的研究进展

麦角硫因(ergothioneine,ERG)作为一种稀有的天然含硫组氨酸衍生物,已被证明具有强大的抗氧化性和诸多生物学功能。因此,ERG受到越来越多研究人员和产品开发人员的关注。目前,ERG已被广泛应用于食品、化妆品和医疗等行业。研究表明只有少数细菌和真菌可体内合成ERG,植物、动物和人类自身均不能直接合成ERG,只能从其他来源获取。ERG可通过生物提取法、化学合成法以及生物合成法获得,但由于传统生产方式(生物提取法和化学合成法)存在产量低、生产效率差和生产成本较高等问题,限制了该产品的规模化生产和应用。因此,亟需开发一种高效、经济且安全、可靠的ERG生产方式以满足市场的需求。近年来合成生物学快速发展,利用基因工程、蛋白质工程和代谢工程等技术提高生物合成法生产ERG的能力已逐渐成为研究热点。本文将论述ERG的生物学活性和功能,介绍ERG生物合成途径和ERG在食品、化妆品和医疗等行业的应用前景,比较ERG主要的生产方式,总结并梳理近年来采取各种工程策略通过生物合成法生产ERG的研究进展;并就如何利用基因工程、蛋白质工程和代谢工程提高ERG产量提出几点工程策略,以期为生物合成法高产ERG提供理论参考和研究思路。