OBJECTIVETo Investigate the differences of sorbitol fermentation related genes and optimize molecular analysis method for distinguishing an epidemic with nonepidemic strains of Vibrio cholerae.

METHODSSequence analysis on four genes of sugar fermentation stimulation protein, periplasmic maltose-binding protein, periplasmic phosphate-binding protein and periplasmic amino acid-binding protein.

RESULTSIn this study, the following data was noticed: for O1 serogroup El Tor biotype V. cholerae, twenty-four epidemic and eight nonepidemic strains were chosen; For O139 serogroup V. cholerae, five epidemic and four nonepidemic strains were chosen. With those genes of sugar fermentation stimulation protein, there were three point mutations. The 106th, 150th, 378th oligonucleotide in epidemic strains were A, A and T, comparing to the nonepidemic strains which were G, G and C. When comparing the protein sequences, epidemic strains had a Threonine at 36th amino acid, whereas nonepidemic strains had an Alanine. The results in O139 serogroup were consistent with those in O1 serogroup El Tor biotype strains. Another two point mutations were found in the genes of periplasmic maltose-binding protein. The 999th, 1003rd oligonucleotides in epidemic strains were A and C, while in nonepidemic which were G and T. For the gene of periplasmic amino acid-binding protein, two point mutations were noticed. The 504th and 690th oligonucleotides in epidemic strains were T and C, but were C and T in nonepidemic. However, no amino acid differences were found in periplasmic maltose-binding protein and periplasmic amino acid-binding protein. For periplasmic amino acid-binding protein gene, there was no difference on oligonucleotide between epidemic and nonepidemic strains.

CONCLUSIONResults suggested that SNPs in these genes might serve as a useful tool to distinguish the epidemic strains from nonepidemic strains. The 36th amino acid mutation of sugar fermentation stimulation protein in epidemic and nonepidemic strains might change the activity of the protein which might be associated with sorbitol fermentation.

Amino Acid Sequence ; Bacterial Proteins ; genetics ; metabolism ; Base Sequence ; Carrier Proteins ; genetics ; metabolism ; Fermentation ; Maltose-Binding Proteins ; Molecular Sequence Data ; Periplasmic Binding Proteins ; genetics ; metabolism ; Phosphate-Binding Proteins ; genetics ; metabolism ; Point Mutation ; Sequence Analysis, Protein ; Sorbitol ; Vibrio cholerae ; genetics ; metabolism

The transition from spermatogonia to spermatocytes and the initiation of meiosis are key steps in spermatogenesis and are precisely regulated by a plethora of proteins. However, the underlying molecular mechanism remains largely unknown. Here, we report that Src homology domain tyrosine phosphatase 2 (Shp2; encoded by the protein tyrosine phosphatase, nonreceptor type 11 [Ptpn11] gene) is abundant in spermatogonia but markedly decreases in meiotic spermatocytes. Conditional knockout of Shp2 in spermatogonia in mice using stimulated by retinoic acid gene 8 (Stra8)-cre enhanced spermatogonial differentiation and disturbed the meiotic process. Depletion of Shp2 in spermatogonia caused many meiotic spermatocytes to die; moreover, the surviving spermatocytes reached the leptotene stage early at postnatal day 9 (PN9) and the pachytene stage at PN11-13. In preleptotene spermatocytes, Shp2 deletion disrupted the expression of meiotic genes, such as disrupted meiotic cDNA 1 (Dmc1), DNA repair recombinase rad51 (Rad51), and structural maintenance of chromosome 3 (Smc3), and these deficiencies interrupted spermatocyte meiosis. In GC-1 cells cultured in vitro, Shp2 knockdown suppressed the retinoic acid (RA)-induced phosphorylation of extracellular-regulated protein kinase (Erk) and protein kinase B (Akt/PKB) and the expression of target genes such as synaptonemal complex protein 3 (Sycp3) and Dmc1. Together, these data suggest that Shp2 plays a crucial role in spermatogenesis by governing the transition from spermatogonia to spermatocytes and by mediating meiotic progression through regulating gene transcription, thus providing a potential treatment target for male infertility.
Animals ; Cell Cycle Proteins/genetics* ; Cell Line ; Cell Survival ; Chondroitin Sulfate Proteoglycans/genetics* ; Chromosomal Proteins, Non-Histone/genetics* ; Gene Expression Regulation ; Gene Knockdown Techniques ; Infertility, Male ; Male ; Meiosis/genetics* ; Mice ; Mice, Knockout ; Mice, Transgenic ; Phosphate-Binding Proteins/genetics* ; Protein Tyrosine Phosphatase, Non-Receptor Type 11/genetics* ; Rad51 Recombinase/genetics* ; Real-Time Polymerase Chain Reaction ; Spermatocytes/metabolism* ; Spermatogenesis/genetics* ; Spermatogonia/metabolism*

In recent years, human cancer genome projects provide unprecedented opportunities for the discovery of cancer genes and signaling pathways that contribute to tumor development. While numerous gene mutations can be identified from each cancer genome, what these mutations mean for cancer is a challenging question to address, especially for those from less understood putative new cancer genes. As a powerful approach, in silico bioinformatics analysis could efficiently sort out mutations that are predicted to damage gene function. Such an analysis of human large tumor suppressor genes, LATS1 and LATS2, has been carried out and the results support a role of hLATS1//2 as negative growth regulators and tumor suppressors.
Adaptor Proteins, Signal Transducing ; chemistry ; metabolism ; Animals ; Carrier Proteins ; chemistry ; metabolism ; Computational Biology ; Genes, Neoplasm ; Humans ; LIM Domain Proteins ; chemistry ; metabolism ; Mice ; Mutation ; Neoplasms ; genetics ; pathology ; Phosphoproteins ; chemistry ; metabolism ; Phosphorylation ; Protein Binding ; Protein Structure, Tertiary ; Protein-Serine-Threonine Kinases ; chemistry ; genetics ; metabolism ; Transferases (Other Substituted Phosphate Groups) ; chemistry ; metabolism ; Tumor Suppressor Proteins ; chemistry ; genetics ; metabolism