Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Factorial Microarray Analysis of Zebra Mussel Adhesion Process under the Impact of Multiple Environmental Factors

ABSTRACT: Factorial Microarray Analysis of Zebra Mussel (Dreissena polymorpha) Adhesion Process under the Impact of Multiple Environmental Factors The expression profiles of the zebra mussel byssus unique genes in our cDNA microarray can be influenced by multiple factors. Three environmental factors plus adhesion status were considered as four main factors in this study. Two different levels in each factor were created, therefore, a 2x2x2x2 factorial experimental design was made by sixteen treatment groups with four biological replicates in each group. There were 32 dual-channel microarray slides included in this study and the effects of main factors on gene expression profiles as well as the two-way, three-way, and four-way interactions of the main factors were analyzed. Factors: temperature, water agitation, oxygen level, and adhesion status

ORGANISM(S): Dreissena polymorpha

SUBMITTER: Wei Xu

PROVIDER: E-GEOD-16397 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Songbirds provide rich natural models for studying the relationships of brain anatomy, behavioral function, environmental signals and gene expression. Under the Songbird Neurogenomics Initiative, investigators from more than a dozen laboratories collected brain samples from six species of songbird under a range of experimental conditions, and 488 of these samples were analyzed systematically for gene expression by microarray. ANOVA was used to test 32 planned contrasts in the data, revealing the relative impact of different factors. The brain region from which tissue was taken had the greatest influence on gene expression profile, affecting the majority of signals measured by the 18,848 non-redundant cDNAs spotted on the microarray. Social and environmental manipulations had highly variable impact, ranging from nil in some cases to robust in others. Several specific genes were identified as points of interest in the evolution of mechanisms by which environmental signals influence behavior. The data were also analyzed using Weighted Gene Co-expression Network Analysis (WGCNA) followed by Gene Ontology (GO) analysis. This revealed modules of co-regulated genes that are also enriched for specific functional annotations such as M-bM-^@M-^\ribosomeM-bM-^@M-^] (expressed more highly in juvenile brain) and M-bM-^@M-^\dopamine metabolic processM-bM-^@M-^] (expressed more highly in striatal song control nucleus Area X). These results underscore the complexity of influences on neural gene expression and provide a resource for studying how these influences are integrated during natural experience. RNA samples were collected from six different songbird species (phylogeny in SI Appendix, Figure S1) and representing 80 different M-bM-^@M-^\treatmentsM-bM-^@M-^], i.e., combinations of species, brain region, sex, age, and behavioral state. The tissue samples were organized around 15 standalone experiments (Table 1 and SI Appendix, Table S1), contributed by investigators in a dozen different laboratories but analyzed under uniform conditions in a single laboratory as originally planned under the Songbird Neurogenomics Initiative. Each sample was hybridized to a zebra finch cDNA array along with a universal reference (a pool of zebra finch telencephalic RNA). e10: NCM and L2a from adult female zebra finches, 30 or 90 minutes after onset of novel song playback, or silence control, 6 biological replicates per group. All samples were hybridized against the SoNG universal RNA reference pool.

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Factorial Microarray Analysis of Zebra Mussel Adhesion Process under the Impact of Multiple Environmental Factors

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