Molecular identification and genetic diversity analysis of sugarcane clones by SSR markers

Sugarcane is one of the important crops with high heterozygosity and phenotypic polymorphism. Varietal identification and characterization is one of the important aspects in any breeding programme. Forty sugarcane clones from Pre -zonal varietal trial (PZVT) conducted at Ugar, North Karnataka were characterized through Simple sequence repeats (SSR) markers using a set of 15 sugarcane specific primer pairs which amplified a total of 164 alleles with an average of 10.93 alleles per pair. Primer NKS 33 was highly polymorphic and produced more than 15 polymorphic alleles and was unique in all the clones studied. Six primers i.e., NKS 2, NKS 6, NKS 7, NKS 40, NKS 42 and NKS 11 were moderately polymorphic by producing 10 to 13 alleles. Percentage of polymorphic bands ranged from 75.0 % (NKS 3) to 100.0 % (NKS 40 and NKS 42). Primers viz., SMC 1039 GC, mSSCIR 54, NKS 2, NKS 7, NKS 9, NKS 33, NKS 40, NKS 42 and NKS 11 were highly informative and generated above 85.0 % of polymorphic bands. Among the primers used, SMC 1039 GC, NKS 33, NKS 42 and NKS 43 produced the maximum number of unique markers in different clones and hence the combined application of these primers will be useful in unambiguous varietal identification. The cluster analysis based on the genetic similarity matrix grouped the 40 clones into two major clusters CI and CII. The largest cluster CII contained the maximum of 38 clones. Cluster C II was further sub-grouped into IIa, IIb, IIc and IId and each sub-cluster comprised 7, 11, 6 and 14 clones respectively. The unique DNA markers and the genetically diverse combinations identified in the present study will enhance the exploitation of genetic diversity present in the clones in breeding programmes and promising twenty eight entries for yield and quality

A nutrigenetic approach to investigate the relationship between metabolic traits and vitamin D status in an Asian Indian population

Studies in Asian Indians have examined the association of metabolic traits with vitamin D status. However, findings have been quite inconsistent. Hence, we aimed to explore the relationship between metabolic traits and 25-hydroxyvitamin D [25(OH)D] concentrations. We investigate whether this relationship was modified by lifestyle factors using a nutrigenetic approach in 545 Asian Indians randomly selected from the Chennai Urban Rural Epidemiology Study (219 normal glucose tolerant individuals, 151 with pre-diabetes and 175 individuals with type 2 diabetes). A metabolic genetic risk score (GRS) was developed using five common metabolic disease-related genetic variants. There was a significant interaction between metabolic GRS and carbohydrate intake (energy%) on 25(OH)D (Pinteraction = 0.047). Individuals consuming a low carbohydrate diet (≤62%) and those having lesser number of metabolic risk alleles (GRS ≤ 1) had significantly higher levels of 25(OH)D (p = 0.033). Conversely, individuals consuming a high carbohydrate diet despite having lesser number of risk alleles did not show a significant increase in 25(OH)D (p = 0.662). In summary, our findings show that individuals carrying a smaller number of metabolic risk alleles are likely to have higher 25(OH)D levels if they consume a low carbohydrate diet. These data support the current dietary carbohydrate recommendations of 50%–60% energy suggesting that reduced metabolic genetic risk increases 25(OH)D

Evidence for the association between FTO gene variants and vitamin B12 concentrations in an Asian Indian population

Background Low vitamin B12 concentrations have been associated with major clinical outcomes, including adiposity, in Indian populations. The Fat mass and obesity-associated gene (FTO) is an established obesity-susceptibility locus; however, it remains unknown whether it influences vitamin B12 status. Hence, we investigated the association of two previously studied FTO polymorphisms with vitamin B12 concentrations and metabolic disease-related outcomes and examined whether these associations were modified by dietary factors and physical activity. Methods A total of 176 individuals with type 2 diabetes, 152 with pre-diabetes, and 220 normal glucose-tolerant individuals were randomly selected from the Chennai Urban Rural Epidemiology Study. Anthropometric, clinical, and biochemical investigations, which included body mass index (BMI), waist circumference, vitamin B12, homocysteine, and folic acid were measured. A validated food frequency questionnaire was used for dietary assessment and self-reported physical activity measures were collected. An unweighted genetic risk score (GRS) was calculated for two FTO single-nucleotide polymorphisms (rs8050136 and rs2388405) by summation of the number of risk alleles for obesity. Interaction analyses were performed by including the interaction terms in the regression model. Results The GRS was significantly associated with increased BMI (P = 0.009) and risk of obesity (P = 0.023). Individuals carrying more than one risk allele for the GRS had 13.13% lower vitamin B12 concentrations, compared to individuals carrying zero risk alleles (P = 0.018). No associations between the GRS and folic acid and homocysteine concentrations were observed. Furthermore, no statistically significant GRS-diet or GRS-physical activity interactions with vitamin B12, folic acid, homocysteine or metabolic-disease outcomes were observed. Conclusion The study shows for the first time that a genetic risk score using two FTO SNPs is associated with lower vitamin B12 concentrations; however, we did not identify any evidence for the influence of lifestyle factors on this association. Further replication studies in larger cohorts are warranted to investigate the association between the GRS and vitamin B12 concentrations

Circulating adiponectin mediates the association between omentin gene polymorphism and cardiometabolic health in Asian Indians

Background: Plasma omentin levels have been shown to be associated with circulating adiponectin concentrations and cardiometabolic disease-related outcomes. In this study, we aim to examine the association of omentin gene polymorphism with serum adiponectin levels and cardiometabolic health status using a genetic approach and investigate whether these associations are modified by lifestyle factors. Methods: The study included 945 normal glucose tolerant and 941 unrelated individuals with type 2 diabetes randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), in southern India. Study participants were classified into cardiometabolically healthy and unhealthy, where cardiometabolically healthy were those without hypertension, diabetes, and dyslipidemia. Fasting serum adiponectin levels were measured by radioimmunoassay. The omentin A326T (rs2274907) single nucleotide polymorphism (SNP) was screened by polymerase chain reaction-restriction fragment length polymorphism and direct sequencing. Results: The ‘A’ allele of the omentin SNP was significantly associated with lower adiponectin concentrations after adjusting for age, sex, body mass index (BMI), waist circumference (WC) and cardiometabolic health status (p=1.90 x 10-47). There was also a significant association between circulating adiponectin concentrations and cardiometabolic health status after adjusting for age, sex, BMI, WC and Omentin SNP (p=7.47x10-10). However, after adjusting for age, sex, BMI, WC and adiponectin levels, the association of ‘A’ allele with cardiometabolic health status disappeared (p=0.79) suggesting that adiponectin serves as a mediator of the association between omentin SNP and cardiometabolic health status. There were no significant interactions between the SNP and dietary factors on adiponectin levels and cardiometabolic health status (p>0.25, for all comparisons). Conclusions: Our findings show that adiponectin might function as a mechanistic link between omentin SNP and increased risk of cardiometabolic diseases independent of common and central obesity in Asian Indians. Further studies are required to confirm the molecular mechanisms involved in this triangular relationship between omentin gene, adiponectin and cardiometabolic diseases

Assessment of trace metal contamination in a historical freshwater canal (Buckingham Canal), Chennai, India

The present study was done to assess the sources and the major processes controlling the trace metal distribution in sediments of Buckingham Canal. Based on the observed geochemical variations, the sediments are grouped as South Buckingham Canal and North Buckingham Canal sediments (SBC and NBC, respectively). SBC sediments show enrichment in Fe, Ti, Mn, Cr, V, Mo, and As concentrations, while NBC sediments show enrichment in Sn, Cu, Pb, Zn, Ni, and Hg. The calculated Chemical Index of Alteration and Chemical Index of Weathering values for all the sediments are relatively higher than the North American Shale Composite and Upper Continental Crust but similar to Post-Archaean Average Shale, and suggest a source area with moderate weathering. Overall, SBC sediments are highly enriched in Mo, Zn, Cu, and Hg (geoaccumulation index (Igeo) class 4– 6), whereas NBC sediments are enriched in Sn, Cu,Zn, and Hg (Igeo class 4–6). Cu, Ni, and Cr show higher than Effects-Range Median values and hence the biological adverse effect of these metals is 20%; Zn, which accounts for 50%, in the NBC sediments, has a more biological adverse effect than other metalsfound in these sediments. The calculated Igeo, Enrichment Factor, and Contamination Factor values indicate that Mo, Hg, Sn, Cu, and Zn are highly enriched in the Buckingham Canal sediments, suggesting the rapid urban and industrial development of Chennai MetropolitanCity have negatively influenced on the surrounding aquatic ecosystem

Evolutionary Trace shows conserved consensus pattern, Vertical lines in dendrogram A to J shows different Partition Identity Cutoffs (PICs)

<p><b>Copyright information:</b></p><p>Taken from "Binding site prediction of galanin peptide using evolutionary trace method"</p><p></p><p>Bioinformation 2006;1(5):180-183.</p><p>Published online 25 Jul 2006</p><p>PMCID:PMC1891676.</p><p></p> Each PIC represents an individual group; A represents the most conserved 10 trace. As PIC increases from A to J, partition comprises decreased group from 10 to