Single nucleotide polymorphisms in ATP1A1 gene and their association with thermotolerance traits in Sahiwal and Karan Fries cattle

2016 ◽  
Author(s):  
Ramendra Das ◽  
Ishwar Dayal Gupta ◽  
Archana Verma ◽  
Sohanvir Singh ◽  
Mahesh Vishwas Chaudhari ◽  
...  
Keyword(s):  
Heat Tolerance ◽  
Research Centre ◽  
Nucleotide Polymorphisms ◽  
Coupled Transport ◽  
Stress Genes ◽  
Statistical Analysis System ◽  
Sahiwal Cows ◽  
Thermal Adaptability ◽  
Analysis System ◽  
Karan Fries

Expression of stress genes under thermal stress partially explain the relatively higher thermal adaptability of indigenous breeds compared to exotic breeds of cattle. ATP1A1 gene is one of such gene that encodes for a1 isomer of Na+, K+- ATPase enzyme for Na+- coupled transport of metabolites, nutrients, ions and represents a plausible candidate for heat tolerance traits. Present study was designed to compare SNP variations in ATP1A1 gene and to evaluate their association with respiration rate, rectal temperature and heat tolerance coefficient in Sahiwal (51) and Karan Fries (50) cows maintained at Livestock Research Centre of National Dairy Research Institute, Karnal. Two SNPs (T27008243C and A27008223G) were identified in both the dairy cattle breeds. Association of each SNP genotype was analyzed using Generalized Linear Model procedure in Statistical Analysis System (SAS). Sahiwal cows with TT (15.91±1.89b) at T27008243C locus had lowest RR compared to TC genotypes (18.25±1.77ab) and CC genotype (19.24±1.52a), while in Karan Fries cows RR for AA genotype at A27008223G locus was lower (28.85±1.96b) compared to GG genotype (32.37±2.51a). Thus, the study indicated that the TT genotype at T27008243C locus in Sahiwal and AA genotype at 27008223 locus in Karan Fries cows are desirable genotypes for genetic adaptability under heat stress.

Single nucleotide polymorphisms in Heat Shock Protein (HSP) 90AA1 gene and their association with heat tolerance traits in Sahiwal cows

2015 ◽  
Author(s):  
Rakesh Kumar ◽  
I. D. Gupta ◽  
Archana Verma ◽  
Nishant Verma ◽  
M. R. Vineeth
Keyword(s):  
Heat Stress ◽  
Heat Shock ◽  
Heat Tolerance ◽  
Bos Taurus ◽  
Comparative Sequence Analysis ◽  
Production Performance ◽  
Nucleotide Polymorphisms ◽  
Sahiwal Cows ◽  
Shock Proteins ◽  
Hsp Genes

Heat Shock Proteins (HSPs) are group of proteins which are synthesized during heat stress. HSP genes have been reported to be associated with heat tolerance and production performance in cattle. HSP90AA1 gene has been mapped on Bos taurus autosome 21 (BTA 21) and spans nearly 5368 bp comprising 11 exons out of which first exon does not translate. The present study was carried out in Sahiwal cows (n=100) with the objectives to identify SNPs in targeted regions (exon 3, 7, 8 & 11) of HSP90AA1 gene and to analyze their association with heat tolerance traits in Sahiwal cows. Respiration rate (RR) and rectal temperature (RT) was recorded once during probable extreme hours in winter, spring and summer season. Further, heat tolerance coefficient (HTC) also calculated to see the adaptability of the animals during the period of heat stress. On the basis of comparative sequence analysis, total five SNPs were revealed at position of A1209G, A3292C, T4935C, T5218C and A5224C in the targeted region of HSP90AA1 gene. Out of these, only two SNPs at A1209G and A3292C loci were found significantly associated with heat tolerance traits in Sahiwal cows. Whereas, THI has a highly significant associated with RR, RT and HTC in all the seasons. At A1209G locus in Sahiwal cows for traits RR, genotype AA (18.40±0.46a), AG (19.60±0.85b) and GG (21.18± 0.64ab) and trait HTC AA (1.78±0.04a), AG (1.85±0.03b) and GG (1.91± 0.02c) differ significantly (p<0.01) while trait RT, AG (38.32±0.10b) and GG (38.27±0.08ab) didn’t differ significantly. For a locus A3292C for traits RR, genotype AA (21.55±1.01a), AC (19.66±1.59b) and CC (18.40±1.03c) differ significantly (p<0.05), while traits RT, genotype AA (38.41±0.12), AC (38.28±0.20) and CC (37.96±0.15) didn’t differ significantly. For trait HTC, AA (1.93±0.04a), AC (1.85±0.06b) and CC (1.79±0.05c) found significantly (p<0.05) differ with each other. Our study indicated that Sahiwal cows of AA and AC genotype had better thermo-tolerance capacity, which had been useful for genetic improvement of Sahiwal cattle for heat tolerance traits.

scholarly journals Association of Genetic Polymorphisms in Oxidative Stress and Inflammation Pathways with Glaucoma Risk and Phenotype

2021 ◽  
Vol 10 (5) ◽  
pp. 1148
Author(s):  
Makedonka Atanasovska Velkovska ◽  
Katja Goričar ◽  
Tanja Blagus ◽  
Vita Dolžan ◽  
Barbara Cvenkel
Keyword(s):  
Oxidative Stress ◽  
Ocular Hypertension ◽  
Gene Deletion ◽  
Open Angle Glaucoma ◽  
Protective Role ◽  
Control Group ◽  
Nucleotide Polymorphisms ◽  
Gstm1 Gene ◽  
Stress Genes ◽  
The Impact

Oxidative stress and neuroinflammation are involved in the pathogenesis and progression of glaucoma. Our aim was to evaluate the impact of selected single-nucleotide polymorphisms in inflammation and oxidative stress genes on the risk of glaucoma, the patients’ clinical characteristics and the glaucoma phenotype. In total, 307 patients with primary open-angle glaucoma or ocular hypertension were enrolled. The control group included 339 healthy Slovenian blood donors. DNA was isolated from peripheral blood. Genotyping was performed for SOD2 rs4880, CAT rs1001179, GPX1 rs1050450, GSTP1 rs1695, GSTM1 gene deletion, GSTT1 gene deletion, IL1B rs1143623, IL1B rs16944, IL6 rs1800795 and TNF rs1800629. We found a nominally significant association of GSTM1 gene deletion with decreased risk of ocular hypertension and a protective role of IL1B rs16944 and IL6 rs1800629 in the risk of glaucoma. The CT and TT genotypes of GPX1 rs1050450 were significantly associated with advanced disease, lower intraocular pressure and a larger vertical cup–disc ratio. In conclusion, genetic variability in IL1B and IL6 may be associated with glaucoma risk, while GPX and TNF may be associated with the glaucoma phenotype. In the future, improved knowledge of these pathways has the potential for new strategies and personalised treatment of glaucoma.

Applied plant science experimental design and statistical analysis using the SAS® OnDemand for Academics

2021 ◽  
Keyword(s):  
Statistical Analysis ◽  
Agricultural Production ◽  
Science Research ◽  
Plant Science ◽  
Data Sets ◽  
Statistical Analysis System ◽  
Key Topics ◽  
Analysis System ◽  
User Friendly ◽  
Enormous Number

Abstract The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analyzing and interpreting research can be overwhelming. Statistical Analysis System (SAS®) is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic insttutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book contains 21 chapters that covers experimental designs and data analysis protocols; is presented as a how-to guide with many examples; includes freely downloadable data sets; and examines key topics such as ANOVA, mean separation, non-parametric analysis and linear regression.

Assessment of plant population on growth, fibre and seed yield of kenaf (Hibiscus cannabinus L.) in Ibadan western Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 50-56
Author(s):  
S.O. Olanipekun ◽  
A.O. Togun ◽  
S.A. Adejumo ◽  
O.N. Adeniyan ◽  
A.K. Adebayo
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Hibiscus Cannabinus ◽  
Growth And Yield ◽  
Plant Spacing ◽  
Bast Fibre ◽  
Statistical Analysis System ◽  
Fibre Yield ◽  
Analysis System ◽  
Seed Yields

Kenaf is a multi-purpose crop with numerous industrial uses. Its production is constrained by poor cultural and agronomic practices which reduce yield. Inappropriate spacing among others could result in low yield. Effect of plant spacing on growth and yield of kenaf was investigated in Ibadan, Nigeria. Kenaf seed was sown (2 plants/stand) at three plant spacing: 50×15, 50×20, 50×25 cm was assessed for seed and bast fibre yields using randomized complete block design (RCBD) with three replicates. The analysis was done using statistical analysis system (SAS). Plant spacing differed significantly for bast fibre and seed yields. Highest bast fibre yield (0.9±0.03) and seed yield (0.5±0.01) were obtained at 50×20 cm and 50×25 cm spacing, respectively, while the lowest bast fibre yield (0.7±0.01) and seed yield (0.3±0.01) were obtained at 50×15 cm spacing. Spacing of 50 × 15 cm and 50 × 20 cm are appropriate when planting for fibre while 50 × 25cm is appropriate for seed production. Keywords: Kenaf, Spacing, Fibre and Seed yield.

scholarly journals Qualidade de vida em sujeitos respiradores orais e oronasais

Revista CEFAC ◽  
2012 ◽  
Vol 15 (1) ◽  
pp. 105-110 ◽  
Author(s):  
Mirian Hideko Nagae ◽  
Marcelo Corrêa Alves ◽  
Renato Lyuti Kinoshita ◽  
Zélia Z L de Camargo Bittencourt ◽  
Heloisa Gagliardo
Keyword(s):  
Statistical Analysis ◽  
Statistical Analysis System ◽  
Analysis System

OBJETIVO: investigar a qualidade de vida de sujeitos com respiração oral ou oronasal. MÉTODO: compuseram a amostra 49 voluntários, distribuídos em dois grupos: grupo de respiradores orais com 24 sujeitos e grupo de respiradores oronasais com 25 sujeitos, com faixa etária ente 18 e 38 anos de idade, de ambos os sexos. O protocolo utilizado foi o WHOQOL-BREF (versão em português) e o registro e análise dos dados foi realizado pelo sistema Statistical Analysis System. RESULTADOS: os resultados obtidos foram submetidos aos testes de qui-quadrado de Mantel-Haenszele análise de variância. A qualidade de vida dos respiradores mistos se revelou inferior nos domínios ambiental, físico e psicológico em relação aos respiradores orais. CONCLUSÃO: com a detecção das diferenças obtidas, o estudo chama a atenção para a necessidade de aprofundar investigações sobre o perfil dos respiradores oronasais e sua relevância. Para que condutas como desconsiderar o grupo de respiradores oronasais ou agrupá-los como respiradores orais não sejam adotadas de forma inadequada.

scholarly journals Analysis of the coefficient of variation in shear and tensile bond strength tests

2005 ◽  
Vol 13 (3) ◽  
pp. 243-246 ◽  
Author(s):  
Fábio Lourenço Romano ◽  
Gláucia Maria Bovi Ambrosano ◽  
Maria Beatriz Borges de Araújo Magnani ◽  
Darcy Flávio Nouer
Keyword(s):  
Coefficient Of Variation ◽  
Mean Value ◽  
Scientific Article ◽  
A Value ◽  
Statistical Analysis System ◽  
Strength Tests ◽  
Analysis System ◽  
Very High

The coefficient of variation is a dispersion measurement that does not depend on the unit scales, thus allowing the comparison of experimental results involving different variables. Its calculation is crucial for the adhesive experiments performed in laboratories because both precision and reliability can be verified. The aim of this study was to evaluate and to suggest a classification of the coefficient variation (CV) for in vitro experiments on shear and tensile strengths. The experiments were performed in laboratory by fifty international and national studies on adhesion materials. Statistical data allowing the estimation of the coefficient of variation was gathered from each scientific article since none of them had such a measurement previously calculated. Excel worksheet was used for organizing the data while the sample normality was tested by using Shapiro Wilk tests (alpha = 0.05) and the Statistical Analysis System software (SAS). A mean value of 6.11 (SD = 1.83) for the coefficient of variation was found by the data analysis and the data had a normal distribution (p>0.05). A range classification was proposed for the coefficient of variation from such data, that is, it should be considered low for a value lesser than 2.44; intermediate for a value between 2.44 and 7.94, high for a value between 7.94 and 9.78, and finally, very high for a value greater than 9.78. Such classification can be used as a guide for experiments on adhesion materials, thus making the planning easier as well as revealing precision and validity concerning the data.

scholarly journals Intervalo de partos em rebanho Nelore na Amazônia Oriental

2000 ◽  
Vol 29 (5) ◽  
pp. 1327-1331 ◽  
Author(s):  
Francisco Aloísio Cavalcante ◽  
Raimundo Martins Filho ◽  
Claudio Cabral Campello ◽  
Raimundo Nonato Braga Lobo ◽  
Gabrimar Araujo Martins
Keyword(s):  
Statistical Analysis ◽  
Statistical Analysis System ◽  
Analysis System

O estudo foi conduzido para avaliar intervalo de partos (IDP) na raça Nelore, utilizando 578 dados de intervalo de partos de animais criados em regime de pasto, no período de 1988 a 1996. Para as análises estatísticas dos dados, foi usado o Programa SAS (Statistical Analysis System). Foram incluídos no modelo o efeito aleatório do pai da vaca, os efeitos fixos de grupo genético da cria anterior, de ano do parto anterior e do mês do parto anterior e as interações entre grupo genético anterior e mês do parto anterior, grupo genético anterior e ano do parto anterior, além da idade da vaca ao parto como covariável. O IDP foi influenciado pelo pai da vaca e pelo ano do parto anterior. A média estimada por quadrado mínimo e seu respectivo erro-padrão (EP) e coeficiente de variação (CV) foram 431,83 ± 142,76 dias e 33,06%, respectivamente. O intervalo de partos, além do efeito de pai, sofreu influência de ambiente. O desempenho reprodutivo do rebanho estudado, para as condições de clima tropical, pode ser considerado como satisfatório, estando de acordo com os parâmetros obtidos por outros autores em diferentes regiões.

scholarly journals Sisvar: a Guide for its Bootstrap procedures in multiple comparisons

2014 ◽  
Vol 38 (2) ◽  
pp. 109-112 ◽  
Author(s):  
Daniel Furtado Ferreira
Keyword(s):  
Scientific Community ◽  
Type I Error ◽  
Multiple Comparisons ◽  
Error Rates ◽  
Type I ◽  
Type I Error Rates ◽  
Statistical Analysis System ◽  
Scientific Results ◽  
Analysis System ◽  
Multiple Comparison Procedures

Sisvar is a statistical analysis system with a large usage by the scientific community to produce statistical analyses and to produce scientific results and conclusions. The large use of the statistical procedures of Sisvar by the scientific community is due to it being accurate, precise, simple and robust. With many options of analysis, Sisvar has a not so largely used analysis that is the multiple comparison procedures using bootstrap approaches. This paper aims to review this subject and to show some advantages of using Sisvar to perform such analysis to compare treatments means. Tests like Dunnett, Tukey, Student-Newman-Keuls and Scott-Knott are performed alternatively by bootstrap methods and show greater power and better controls of experimentwise type I error rates under non-normal, asymmetric, platykurtic or leptokurtic distributions.

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