Single Nucleotide Polymorphism (SNP) Analysis of orexin Gene 5′ Regulatory Region in Chinese Indigenous Cattle Populations

2011 ◽  
Vol 10 (8) ◽  
pp. 1273-1279 ◽  
Author(s):  
Ai-ling ZHANG ◽  
Li ZHANG ◽  
Liang-zhi ZHANG ◽  
Xian-yong LAN ◽  
Cun-lei ZHANG ◽  
...  
2014 ◽  
Vol 80 (7) ◽  
pp. 2125-2132 ◽  
Author(s):  
Narjol Gonzalez-Escalona ◽  
Ruth Timme ◽  
Brian H. Raphael ◽  
Donald Zink ◽  
Shashi K. Sharma

ABSTRACTClostridium botulinumis a genetically diverse Gram-positive bacterium producing extremely potent neurotoxins (botulinum neurotoxins A through G [BoNT/A-G]). The complete genome sequences of three strains harboring only the BoNT/A1 nucleotide sequence are publicly available. Although these strains contain a toxin cluster (HA+OrfX−) associated with hemagglutinin genes, little is known about the genomes of subtype A1 strains (termed HA−OrfX+) that lack hemagglutinin genes in the toxin gene cluster. We sequenced the genomes of three BoNT/A1-producingC. botulinumstrains: two strains with the HA+OrfX−cluster (69A and 32A) and one strain with the HA−OrfX+cluster (CDC297). Whole-genome phylogenic single-nucleotide-polymorphism (SNP) analysis of these strains along with other publicly availableC. botulinumgroup I strains revealed five distinct lineages. Strains 69A and 32A clustered with theC. botulinumtype A1 Hall group, and strain CDC297 clustered with theC. botulinumtype Ba4 strain 657. This study reports the use of whole-genome SNP sequence analysis for discrimination ofC. botulinumgroup I strains and demonstrates the utility of this analysis in quickly differentiatingC. botulinumstrains harboring identical toxin gene subtypes. This analysis further supports previous work showing that strains CDC297 and 657 likely evolved from a common ancestor and independently acquired separate BoNT/A1 toxin gene clusters at distinct genomic locations.


2018 ◽  
Vol 43 (4) ◽  
pp. 309
Author(s):  
N. Hilmia ◽  
D. Rahmat ◽  
D. Dudi

Point mutation on exon 2 of leptin gene, which changes amino acid encoding from Arginine to Cysteine, may alters the physiological function of the leptin hormone. This study aimed to identify leptin gene polymorphism of Ongole Grade (OG) cattle based on Single Nucleotide Polymorphism (SNP). The DNA sample was taken from 48 head of OG cattle at Balai Pengembangan Perbibitan Ternak Sapi Potong(BPPT SP) Cijeungjing West Java, which was isolated from white blood cell using the high salt method. Amplification of DNA was done by Polymerase Chain Reaction (PCR), followed by direct sequencing to obtain nucleotide sequence. The SNP analysis was carried out from alignment of sequencing result using Bioedit and MEGA 5.2 program. The results indicated in exon 2 leptin gene of OG cattle there was one synonymous SNPs that did not changeamino acids Serine encoding on g.1025T >C/S17S, while two non synonymous SNPaltered amino acids encoding, those were g.1047C> T /R25C and g.1048G>A/R25H. Those mutations changed amino acids encoding from Arginine to Cysteine and Arginine to Histidine respectively.In OG cattle, the frequency of A allele (44.8%) was higher than C allele (33.3%) and T allele (21.9%). Six genotypes were also identified, i.e. AA (41.7%), CC (20.8%), CT (20.8%), CA(4.2%), TT (10.4%) and TA (2.1 %). Heterozigosity of OG cattle based on leptin gene was 0.65 that was a high category. The A allele was a specific allele on Indonesian local cattle.


Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S171
Author(s):  
Jane McElroy ◽  
Elizabeth Bryda ◽  
Robert Schnabel ◽  
Stephanie McKay ◽  
Jeremy Taylor

2011 ◽  
Vol 55 (10) ◽  
pp. 4718-4727 ◽  
Author(s):  
Susu Duan ◽  
David A. Boltz ◽  
Jiang Li ◽  
Christine M. Oshansky ◽  
Henju Marjuki ◽  
...  

ABSTRACTNeuraminidase (NA) inhibitors are among the first line of defense against influenza virus infection. With the increased worldwide use of the drugs, antiviral susceptibility surveillance is increasingly important for effective clinical management and for public health epidemiology. Effective monitoring requires effective resistance detection methods. We have developed and validated a novel genotyping method for rapid detection of established NA inhibitor resistance markers in influenza viruses by single nucleotide polymorphism (SNP) analysis. The multi- or monoplex SNP analysis based on single nucleotide extension assays was developed to detect NA mutations H275Y and I223R/V in pandemic H1N1 viruses, H275Y in seasonal H1N1 viruses, E119V and R292K in seasonal H3N2 viruses, and H275Y and N295S in H5N1 viruses. The SNP analysis demonstrated high sensitivity for low-content NA amplicons (0.1 to 1 ng/μl) and showed 100% accordant results against a panel of defined clinical isolates. The monoplex assays for the H275Y NA mutation allowed precise and accurate quantification of the proportions of wild-type and mutant genotypes in virus mixtures (5% to 10% discrimination), with results comparable to those of pyrosequencing. The SNP analysis revealed the lower growth fitness of an H275Y mutant compared to the wild-type pandemic H1N1 virus by quantitatively genotyping progeny viruses grown in normal human bronchial epithelial cells. This novel method offers high-throughput screening capacity, relatively low costs, and the wide availability of the necessary equipment, and thus it could provide a much-needed approach for genotypic screening of NA inhibitor resistance in influenza viruses.


2018 ◽  
Vol 56 (9) ◽  
Author(s):  
Anna Janowicz ◽  
Fabrizio De Massis ◽  
Massimo Ancora ◽  
Cesare Cammà ◽  
Claudio Patavino ◽  
...  

ABSTRACT The use of whole-genome sequencing (WGS) using next-generation sequencing (NGS) technology has become a widely accepted method for microbiology laboratories in the application of molecular typing for outbreak tracing and genomic epidemiology. Several studies demonstrated the usefulness of WGS data analysis through single-nucleotide polymorphism (SNP) calling from a reference sequence analysis for Brucella melitensis, whereas gene-by-gene comparison through core-genome multilocus sequence typing (cgMLST) has not been explored so far. The current study developed an allele-based cgMLST method and compared its performance to that of the genome-wide SNP approach and the traditional multilocus variable-number tandem repeat analysis (MLVA) on a defined sample collection. The data set was comprised of 37 epidemiologically linked animal cases of brucellosis as well as 71 isolates with unknown epidemiological status, composed of human and animal samples collected in Italy. The cgMLST scheme generated in this study contained 2,704 targets of the B. melitensis 16M reference genome. We established the potential criteria necessary for inclusion of an isolate into a brucellosis outbreak cluster to be ≤6 loci in the cgMLST and ≤7 in WGS SNP analysis. Higher phylogenetic distance resolution was achieved with cgMLST and SNP analysis than with MLVA, particularly for strains belonging to the same lineage, thereby allowing diverse and unrelated genotypes to be identified with greater confidence. The application of a cgMLST scheme to the characterization of B. melitensis strains provided insights into the epidemiology of this pathogen, and it is a candidate to be a benchmark tool for outbreak investigations in human and animal brucellosis.


2007 ◽  
Vol 5 (3) ◽  
pp. 25-34
Author(s):  
Maria V Sokolova ◽  
Eugene V Vasilyev ◽  
Andrey I Kozlov ◽  
Denis V Rebrikov ◽  
Svetlana S Senkeeva ◽  
...  

Genetically determined deficiency of the lactase enzyme in adults (primary hypolactasia) is a recessive trait. As shown earlier, in some European populations primary hypolactasia is determined by carrying the CC genotype at the single-nucleotide polymorphism (SNP) LCT*С/T-13910. In this work allele and genotype frequencies were estimated for the single-nucleotide polymorphism (SNP) LCT*C/ T-13910 in 7 samples (346 individuals in total), representing Eurasian populations (Saami, Mari, Russians from the Volga-Ural Area, Kazakhs, Uyghurs, Buriats, Arabs). For part of these groups and for some of the earlier studied groups the frequencies of the CC genotype are similar to the epidemiological-clinical data on hypolactasia frequency reported for respective or closely located populations (in Russians, Ukrainians, Byelorussians, Kola Saami, Mari, Komi-Permyaks, Udmurts, Pamir Mountain dwellers, and in Chukchi, Iranians and Arabs). For the Asian populations, the data are contradictory, and evaluation of genetic determination of hypolactasia in these populations requires further studies of larger samples. Considering association of primary hypolactasia with CC genotype in the Russian sample found by us earlier, the obtained results point that the CC genotype at SNP LCT*C/ T-13910 is the main genetic determinant of primary hypolactasia for populations of the European part of Russia.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2929-2929 ◽  
Author(s):  
Thomas Cluzeau ◽  
Chimène Moreilhon ◽  
Nicolas Mounier ◽  
Jean-Michel Karsenti ◽  
Lionel Mannone ◽  
...  

Abstract Abstract 2929 Background: Azacitidine (AZA) has changed the outcome of patients (pts) with myelodysplastic syndromes (MDS) or acute myeloid leukemia with multi-lineage dysplasia (AML-MLD) unfit for intensive chemotherapy. AZA is a hypomethylating agent providing about 50% of responses in MDS and AML with low blast count (Fenaux et al., Lancet Oncol 2009, JCO 2010). To date, no consensus genetic predictor of response has been reported. Methods: In MDS (including RAEB-t) and AML-MLD (>30% blasts) patients treated by AZA in 5 centers, we performed genomewide single nucleotide polymorphism (SNP) analysis using SNP 6.0 arrays (Affymetrix, High Wycombe, U.K.) on bone marrow (BM) samples. Patients having received ≥ 1 cycle of AZA and who had bone marrow evaluation after ≥ 4 cycles, or who died or progressed before completion of 4 cycles were considered evaluable (the last 2 groups were considered as treatment failures). Responses were scored according to IWG 2006 criteria for MDS and to Cheson et al. (JCO 2003) for AML. DNA were prepared for hybridization according to the manufacturers' recommendations. Affymetrix CEL files for each sample were analyzed using the Genotyping Console software (v3.0.2). Genotyping was performed using Birdseed V2 algorithm. Unpaired Copy Number and LOH analysis was performed with Regional GC correction. Copy number and UPD were also analyzed using the Copy Number Analyzer for GeneChip (CNAG version 3.3.0.1) algorithm (http://www.genome.umin.jp/CNAGtop2.html). Results: The study population included 92 pts: F/M: 41/51; median age 72 (range 35–88). Diagnosis at AZA onset was MDS in 54 (RAEB-1 n=6, RAEB-2 n=37, RAEB-t=11, IPSS int-1 in 7, int-2 in 15, high in 32, undetermined in 2) and AML-MLD in 38 pts. Cytogenetic according to IPSS was favorable in 33, intermediate in 19, unfavorable in 28, unknown in 11. Median number of cycles was 6 (range 1–41). All pts received the approved (75 mg/m2 for 7 days every 4 weeks) or a reduced AZA schedule (75 mg/m2 for 5 days every 4 weeks). Median overall survival (OS) of our cohort was 22 months. DNA samples from 52 patients were available for SNP analysis. There were no significant differences between the SNP and no SNP subgroups in term of median age, sex ratio, disease status at AZA onset, cytogenetic according to IPSS, median number of cycles, responses and OS. We listed aneuploidies (CNA) and uniparental disomies (UPD) detected by SNP analysis in the samples, and focused on 18 chromosomal bands (1p13.2, 2q34, 3p14.2, 3q26, 4q24, 5q33.1, 5q35, 6p21.3, 7q36.1, 9p21.3, 11p13, 11q23.3, 13q12.2, 15q21, 15q26.2, 20q11.21, 21q22.1) containing genes implicated in MDS or AML. Preliminary results show correlations between some CNA/UPD and response to AZA and OS, such as 1/a UPD at 9p21 (6% of patients) associated to a better hematologic improvement (X2, p=0.037), 2/an amplification at 20q11.21 (8% of patients) correlated with a poorer response (X2, p=0.048) and a trend toward poorer OS (Log-Rank, p=0.091), and 3/deletion and UPD at 15q21 (6% of patients) strongly correlated to poorer OS (Log-Rank, p=0.001). Several additional CNA and UPD of potential interest are presently under investigation. Conclusion: SNP analysis using SNP 6.0 is a powerful tool to decipher genome complexity in BM samples of MDS and AML patients treated with AZA. Our data suggest that this approach could allow characterizing profiles of responder versus non responder pts. Our study must be extended to a larger cohort and relevant anomalies must be confirmed by more sensitive techniques such as high-scale sequencing. Disclosures: Cluzeau: Celgene: Consultancy. Raynaud:Celgene: Consultancy.


2008 ◽  
Vol 83 (5) ◽  
pp. 2285-2297 ◽  
Author(s):  
Chunqing Luo ◽  
Marta Bueno ◽  
Jeffrey Kant ◽  
Jeremy Martinson ◽  
Parmjeet Randhawa

ABSTRACT BK virus (BKV) genotyping has been historically based on nucleotides 1744 to 1812 in the VP1 gene. We reevaluated this practice by making BKV whole-genome and gene-specific phylogenetic trees as well as performing single nucleotide polymorphism (SNP) analysis of 162 sequences available in the public domain. It was found that currently known BKV subtypes and subgroups can no longer be reliably determined by sequencing certain partial gene sequences. Phylogenetic trees based on large T-antigen (LTA) allow separation of subtype I into subgroups Ia, Ib1, Ib2, and Ic, with bootstrap values of 100%, which are better than bootstraps obtained using VP1 sequences (bootstrap values of 71 to 97%). Subtype IV can be subdivided into subgroups, but LTA bootstrap values (33 to 80%) are lower than those obtained by whole-genome analysis (68 to 87%). Subtypes V and VI provisionally identified earlier on the basis of more limited sequence data are better classified as subgroups Ib2 and Ib1, respectively. LTA positions 3634, 3772, 3934, and 4339 can serve as a minimal SNP set to distinguish between the four major BKV subtypes. No subtype II-, IVa-, or IVb-defining SNPs are available in the VP1 gene. However, the overall congruence of viral strain classification based on either VP1 or LTA phylogenetic analysis indicates that these two areas of the viral genome are genetically linked. Interstrain genetic recombination between distant loci in the VP1 and LTA areas is not a common event.


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