8 research outputs found

    Seasonal and Altitudinal Changes in Population Density of 20 Species of Drosophila in Chamundi Hill

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    A year long study was conducted to analyze the altitudinal and seasonal variation in a population of Drosophila (Diptera: Drosophilidae) on Chamundi hill of Mysore, Karnataka State, India. A total of 16,671 Drosophila flies belonging to 20 species of 4 subgenera were collected at altitudes of 680 m, 780 m, 880 m and 980 m. The subgenus Sophophora was predominant with 14 species and the subgenus Drosilopha was least represented with only a single species. Cluster analysis and constancy methods were used to analyze the species occurrence qualitatively. Altitudinal changes in the population density, and relative abundance of the different species at different seasons were also studied. The diversity of the Drosophila community was assessed by applying the Simpson and Berger-Parker indices. At 680 m the Simpson Index was low at 0.129 and the Berger- Parker index was high at 1.1 at 980 m. Linear regression showed that the Drosophila community was positively correlated with rainfall but not elevation, Furthermore the density of Drosophila changed significantly in different seasons (F = 11.20, df 2, 9; P<0.004). The distributional pattern of a species or related group of species was uneven in space and time. D. malerkotliana and D. nasuta were found at all altitudes and can be considered as dominant species

    Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals

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    Copy number variants (CNV) are established risk factors for neurodevelopmental disorders with seizures or epilepsy. With the hypothesis that seizure disorders share genetic risk factors, we pooled CNV data from 10,590 individuals with seizure disorders, 16,109 individuals with clinically validated epilepsy, and 492,324 population controls and identified 25 genome-wide significant loci, 22 of which are novel for seizure disorders, such as deletions at 1p36.33, 1q44, 2p21-p16.3, 3q29, 8p23.3-p23.2, 9p24.3, 10q26.3, 15q11.2, 15q12-q13.1, 16p12.2, 17q21.31, duplications at 2q13, 9q34.3, 16p13.3, 17q12, 19p13.3, 20q13.33, and reciprocal CNVs at 16p11.2, and 22q11.21. Using genetic data from additional 248,751 individuals with 23 neuropsychiatric phenotypes, we explored the pleiotropy of these 25 loci. Finally, in a subset of individuals with epilepsy and detailed clinical data available, we performed phenome-wide association analyses between individual CNVs and clinical annotations categorized through the Human Phenotype Ontology (HPO). For six CNVs, we identified 19 significant associations with specific HPO terms and generated, for all CNVs, phenotype signatures across 17 clinical categories relevant for epileptologists. This is the most comprehensive investigation of CNVs in epilepsy and related seizure disorders, with potential implications for clinical practice

    Offspring of older males are superior in Drosophila bipectinata

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    Offspring of older males are superior in Drosophila bipectinata. Zoological Studies51(1): 72-84. Drosophila bipectinata offspring of old- and young-aged males reared in low (LLD) and high larval densities (HLD) were employed to test a good gene model of female preference for male age classes. It was noted that with both LLD and HLD, offspring of old-aged male had significantly greater pre-adult fitness (egg-larval hatchability and larval-adult viability) and adult fitness (son’s mating success, mating latency, mating ability, progeny production, and longevity, and daughter’s mating success, fecundity, and longevity) over sons of young-aged males, which suggested that larval density did not have an effect on the inheritance of characters from parent to offspring. Among larval densities, LLD offspring performed significantly better in all traits studied than did HLD offspring. Thus, D. bipectinata females prefer old-aged males to obtain greater fitness benefits for their offspring, thereby confirming the good-gene model

    Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals

    No full text
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