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Alexandre S. Cristino

Researcher at Griffith University

Publications -  46
Citations -  4525

Alexandre S. Cristino is an academic researcher from Griffith University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 21, co-authored 43 publications receiving 4053 citations. Previous affiliations of Alexandre S. Cristino include University of São Paulo & University of Queensland.

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Insights into social insects from the genome of the honeybee Apis mellifera

George M. Weinstock, +228 more
- 26 Oct 2006 - 
TL;DR: The genome sequence of the honeybee Apis mellifera is reported, suggesting a novel African origin for the species A. melliferA and insights into whether Africanized bees spread throughout the New World via hybridization or displacement.
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Functional and evolutionary insights from the genomes of three parasitoid Nasonia species.

John H. Werren, +161 more
- 15 Jan 2010 - 
TL;DR: Key findings include the identification of a functional DNA methylation tool kit; hymenopteran-specific genes including diverse venoms; lateral gene transfers among Pox viruses, Wolbachia, and Nasonia; and the rapid evolution of genes involved in nuclear-mitochondrial interactions that are implicated in speciation.
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Validation of reference genes for gene expression studies in the honey bee, Apis mellifera, by quantitative real-time RT-PCR

TL;DR: Three software-based approaches were used and four candidate genes were selected as suitable genes for normalization in A. mellifera to evaluate the suitability of these genes as endogenous controls to standardize qRT-PCR results.
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Molecular determinants of caste differentiation in the highly eusocial honeybee Apis mellifera

TL;DR: It is suggested that clusters of functionally related DEGs are co-regulated during caste development in honeybees and a conceptual model of caste differentiation in A. mellifera based on gene-regulatory networks is proposed.
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Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system

TL;DR: This work undertook a global and systematic approach to build and integrate available data in gene networks associated with ASDs, XLID, ADHD and SZ, providing a hypothetical framework to help discovery and analysis of candidate genes associated with neurodevelopmental and neuropsychiatric disorders.