Biology subjects

Papanicolaou, A.

Publications and source records attributed to Papanicolaou, A..

3 recordsLinked to original sources

bioRxiv2018

Functional characterization of sensory neuron membrane proteins (SNMPs)

Sensory neuron membrane proteins (SNMPs) play a critical role in the insect olfactory system but there is a deficit of functional studies beyond Drosophila. Here, we provide functional characterisation of insect SNMPs through the use of bioinformatics, genome curation, transcriptome data analysis, phylogeny, expression profiling, and RNAi gene knockdown techniques. We curated 81 genes from 35 insect species and identified a novel lepidopteran SNMP gene family, SNMP3. Phylogenetic analysis shows that lepidopteran SNMP3, but not the previously annotated lepidopteran SNMP2, is the true homologue of the dipteran SNMP2. Digital expression, microarray and qPCR analyses show that the lepidopteran SNMP1 is specifically expressed in adult antennae. SNMP2 is widely expressed in multiple tissues while SNMP3 is specifically expressed in the larval midgut. Microarray analysis suggest SNMP3 may be involved in the silkworm immunity response to virus and bacterial infections. We functionally characterised SNMP1 in the silkworm using RNAi and behavioural assays. Our results suggested that Bombyx mori SNMP1 is a functional orthologue of the Drosophila melanogaster SNMP1 and plays a critical role in pheromone detection. Split-ubiquitin yeast hybridization study shows that BmorSNMP1 has a protein-protein interaction with the BmorOR1 pheromone receptor, and the BmorOrco co-receptor. Concluding, we propose a novel molecular model in which BmorOrco, BmorSNMP1 and BmorOR1 form a heteromer in the detection of the silkworm sex pheromone bombykol.

molecular biology↗

bioRxiv2018

Aberrant resting-state functional brain networks in dyslexia: Symbolic mutual information analysis of neuromagnetic signals

Neuroimaging studies have identified a variety of structural and functional connectivity abnormalities in students experiencing reading difficulties. The present study adopted a novel approach to assess the dynamics of resting-state neuromagnetic recordings in the form of symbolic sequences (i.e., repeated patterns of neuromagnetic fluctuations within and/or between sensors).\n\nParticipants were 25 students experiencing severe reading difficulties (RD) and 27 age-matched non-impaired readers (NI) aged 7-14 years. Sensor-level data were first represented as symbolic sequences in eight conventional frequency bands. Next, dominant types of sensor-to-sensor interactions in the form of intra and cross-frequency coupling were computed and subjected to graph modeling to assess group differences in global network characteristics.\n\nAs a group RD students displayed predominantly within-frequency interactions between neighboring sensors which may reflect reduced overall global network efficiency and cost-efficiency of information transfer. In contrast, sensor networks among NI students featured a higher proportion of cross-frequency interactions. Brain-reading achievement associations highlighted the role of left hemisphere temporo-parietal functional networks, at rest, for reading acquisition and ability.\n\nHighlightsO_LISymbolic dynamics of MEG time series revealed aberrant Cross Frequency Coupling in RD students\nC_LIO_LIGlobal efficiency and strength of Cross Frequency Coupling could reliably identify RD students from age-matched controls\nC_LIO_LIGlobal Cost Efficiency, coupling strength, and the relative preponderance of cross-frequency interactions strongly correlated with reading achievement across groups.\nC_LI

neuroscience↗

bioRxiv2017

Contemporary evolution of a Lepidopteran species, Heliothis virescens, in response to modern agricultural practices

Adaptation to human-induced environmental change has the potential to profoundly influence the genomic architecture of affected species. This is particularly true in agricultural ecosystems, where anthropogenic selection pressure is strong. Heliothis virescens feeds on cotton in its larval stages and US populations have been declining since the widespread planting of transgenic cotton, which endogenously express proteins derived Bacillus thuringiensis (Bt). No physiological adaptation to Bt toxin has been found in the field, so adaptation to this altered environment could involve: 1) shifts in host plant selection mechanisms to avoid cotton, 2) changes in detoxification mechanisms required for cotton-feeding versus feeding on other host plants, or 3) loss of resistance to previously used management practices including insecticides. Here we begin to address the question of whether such changes occurred in H. virescens populations between the years 1997 and 2012. As part of our study, we produced an H. virescens genome assembly and used this in concert with a ddRAD-seq enabled genome scan to identify loci with significant allele frequency changes over the 15 year period after Bt crops became widespread in the agricultural landscape. Confirmation that a known genetic change at a previously described H. virescens target of selection was detectable in our genome scan increased our confidence in this methodology. We quantified the strength of selection required to elicit the observed allele frequency changes at loci under selection. Potential contributions of genes near the loci under selection to adaptive phenotypes in the H. virescens cotton system are discussed.

evolutionary biology↗