F. Xiao, Youran Li, Yupeng Zhang, Hanrong Wang, Liang Zhang, Z. Ding, Z. Gu, Sha Xu, G. Shi
{"title":"A Newly Found Catabolite Responsive Element Plays a Bidirectional Role in Carbon Catabolism in Bacillus licheniformis","authors":"F. Xiao, Youran Li, Yupeng Zhang, Hanrong Wang, Liang Zhang, Z. Ding, Z. Gu, Sha Xu, G. Shi","doi":"10.2139/ssrn.3754545","DOIUrl":"https://doi.org/10.2139/ssrn.3754545","url":null,"abstract":"Bacillus licheniformis is widely used in producing various valuable products, such as food enzymes, industrial chemicals and biocides. The carbon catabolite regulation process in the utilization of raw materials is crucial to maximizing the efficiency of this microbial cell factory. Current understanding of the molecular mechanism of this regulation is based on limited motif patterns in protein-DNA recognition, where the typical catabolite responsive element (CRE) motif is ‘TGWNANCGNTNWCA’. Here, CRE Tre was identified and characterized as a new CRE. It consists of two palindrome arms of 6 nucleotides (AGCTTT/AAAGCT) and an intermediate spacer. CRE Tre is involved in a bidirectional regulation under the glucose stress environment. When AGCTTT appears in the 5’-end, the regulatory element exhibited a carbon catabolite activation (CCA) effect, while AAAGCT in the 5’-end corresponds to carbon catabolite repression (CCR). Further investigation indicated a wide occurrence of CRE Tre in the genome of B. licheniformis.","PeriodicalId":226020,"journal":{"name":"Genetics eJournal","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116584924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What Determines Perceived Income Justice? Evidence from the German TwinLife Study","authors":"M. Neugart, Selen Yildirim","doi":"10.2139/ssrn.3289604","DOIUrl":"https://doi.org/10.2139/ssrn.3289604","url":null,"abstract":"Whether individuals perceive their income as being fair has far-reaching consequences in the labor market and beyond. Yet we know little about the determinants of variation in perceived income justice across individuals. In this paper, we ask to what extent differences in genes are related to variation in individuals' perceived income justice, and whether there is a gene-environment component. Analyzing data from the German TwinLife study, we find that more than 30% of individuals' perceived income justice can be attributed to genes. The rest is mostly related to an idiosyncratic environment.","PeriodicalId":226020,"journal":{"name":"Genetics eJournal","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114989278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Chloroplast Microsatellite (CPSSR) Markers for the Genus Jatropha","authors":"P. Sangin, M. Nakkuntod, Sudarat Kasemcholathan","doi":"10.24247/ijasroct20181","DOIUrl":"https://doi.org/10.24247/ijasroct20181","url":null,"abstract":"Physic nut or Jatrophacurcas is the only one which is an attractive species in Genus Jatrophaas an alternative to biodiesel. The big problems of J. curcas are their low production, non - homogenous fruit ripening and low genetic diversity. Therefore, this research focused on developing 14 chloroplast microsatellite (cp SSR) markers for genetic diversity study of 17 Jatropha accessions including 12 of Jatrophacurcas and 5 of the other species. However, there are only 4 primers i. e., JaCpSSR_2, JaCpSSR_5, JaCpSSR_10 and JaCpSSR_11 which generated polymorphic bands and produced 25 alleles by fragment analysis. The dendrogram was constructed by NTSYSpc-2.20k, UPGMA method and the similarity index ranged from 0.68-1.00 which separated the samples into 3 groups. The group I consisted of all samples of J. curcas which accessions from Lampang was closely related to Chiangmai and Loey. Similarly, J. curcas from Lamphun and Khonkaen with the similarity index was 1.00. Group II was J. integerrima (1), J. integerrima (2), J. multifida and J. gossypifolia formed a group together and group III was J. podagrica.","PeriodicalId":226020,"journal":{"name":"Genetics eJournal","volume":"3 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wavelet Feature Extraction and Genetic Algorithm for Biomarker Detection in Colorectal Cancer Data","authors":"Yihui Liu, U. Aickelin, Jan Feyereisl, L. Durrant","doi":"10.2139/ssrn.2823262","DOIUrl":"https://doi.org/10.2139/ssrn.2823262","url":null,"abstract":"Biomarkers which predict patient's survival play an important role in medical diagnosis and treatment. How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis. In this paper a novel method is proposed to detect the prognostic biomarkers of survival in colorectal cancer patients using wavelet analysis, genetic algorithm, and Bayes classifier. One dimensional discrete wavelet transform (DWT) is normally used to reduce the dimensionality of biomedical data. In this study one dimensional continuous wavelet transform (CWT) was proposed to extract the features of colorectal cancer data. One dimensional CWT has no ability to reduce dimensionality of data, but captures the missing features of DWT, and is complementary part of DWT. Genetic algorithm was performed on extracted wavelet coefficients to select the optimized features, using Bayes classifier to build its fitness function. The corresponding protein markers were located based on the position of optimized features. Kaplan-Meier curve and Cox regression model were used to evaluate the performance of selected biomarkers. Experiments were conducted on colorectal cancer dataset and several significant biomarkers were detected. A new protein biomarker CD46 was found to be significantly associated with survival time.","PeriodicalId":226020,"journal":{"name":"Genetics eJournal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126884819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}