Nucleotide variability of HV-I in admixed population of the Brazilian Amazon Region

The analysis of genetic variation in the nucleotide sequences of mitochondrial DNA has been used as a tool in the study of history of different human populations, as Amerindians, Afro-descendents populations and furthermore admixed populations. In this study, the mitochondrial DNA was analyzed in 158 unrelated individuals in an admixed population of the Amazonian Region: Santarém-PA-Brazil. The polymorphisms were detected using both levels, analysis of restriction enzyme and direct sequencing. We observed a total of 49 different haplotypes were found determined by 46 variable nucleotides. The more frequent haplotypes (Hap03) was shared by five samples and 43 sequences were unique. The genetic diversity was estimated to 0.989+/-0.0067 and the probability of two random individuals showed identical mitochondrial DNA (mtDNA) haplotypes were 2.8%.     

Nucleotide variability of HV-I in Afro-descendents populations of the Brazilian Amazon Region

The analysis of genetic variation in the nucleotide sequences of mitochondrial DNA, provides unique information about the population diversity and human identification. In this study, the mitochondrial DNA sequences of the first hypervariable region (HV-I) were analyzed in 243 unrelated individuals of seven Afro-descendents populations of the Amazon Region. Sequence polymorphisms were detected using PCR and direct sequencing analysis. A total of 133 different haplotypes were found determined by 97 variable nucleotides. Each one of the three more frequent haplotypes was shared by 9 samples and 91 sequences were unique. The genetic diversity was estimated to 0.9898+/-0.0016 and the probability of two random individuals showed identical mitochondrial DNA (mtDNA) haplotypes were 1.2%.     

Variation of δ2H, δ18O & δ13C in crude palm oil from different regions in Malaysia: Potential of stable isotope signatures as a key traceability parameter

A total of 33 crude palm oil samples were randomly collected from different regions in Malaysia. Stable carbon isotopic composition (δ¹³C) was determined using Flash 2000 elemental analyzer while hydrogen and oxygen isotopic compositions (δ²H and δ¹⁸O) were analyzed by Thermo Finnigan TC/EA, wherein both instruments were coupled to an isotope ratio mass spectrometer. The bulk δ²H, δ¹⁸O and δ¹³C of the samples were analyzed by Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA) and Orthogonal Partial Least Square-Discriminant Analysis (OPLS-DA). Unsupervised HCA and PCA methods have demonstrated that crude palm oil samples were grouped into clusters according to respective state. A predictive model was constructed by supervised OPLS-DA with good predictive power of 52.60%. Robustness of the predictive model was validated with overall accuracy of 71.43%. Blind test samples were correctly assigned to their respective cluster except for samples from southern region. δ¹⁸O was proposed as the promising discriminatory marker for discerning crude palm oil samples obtained from different regions. Stable isotopes profile was proven to be useful for origin traceability of crude palm oil samples at a narrower geographical area, i.e. based on regions in Malaysia. Predictive power and accuracy of the predictive model was expected to improve with the increase in sample size. Conclusively, the results in this study has fulfilled the main objective of this work where the simple approach of combining stable isotope analysis with chemometrics can be used to discriminate crude palm oil samples obtained from different regions in Malaysia. Overall, this study shows the feasibility of this approach to be used as a traceability assessment of crude palm oils.