Unraveling soil multi-trophic interactions: perspectives from size-dependent predation theory
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB70423 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR12312400.fastq.gz | Fastqsanger.gz | |||
| ERR12312500.fastq.gz | Fastqsanger.gz | |||
| ERR12312401.fastq.gz | Fastqsanger.gz | |||
| ERR12312501.fastq.gz | Fastqsanger.gz | |||
| ERR12312402.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: The goal of this study was to compare gene expression in whole embryos to identify transcriptomic changes that result from maternal exposure to predation risk. Methods: Whole embryo mRNA profiles of 3 day post-fertilizationstickleback embrosof mothers exposed to simulated predation risk and control embryos were generated by RNA-sequencing of pooled embryos using Illumina Hiseq2000. The sequence reads that passed quality filters were aligned to the stickleback reference genome and analyzed at the gene level (EdgeR) and at the transcript level (Cufflinks/Cuffdiff). Subsets of embryos were also measured for embryo length and eye diameter, and data were analyzed with a general linear model (SPSS). Results: We mapped ~22 million sequence reads per sample to the stickleback reference genome (BROADS1, Ensembl database version 71.1, Feb 2006) and identified 17440 transcripts with the Tophat workflow. Differential expression analysis using both EdgeR and Cufflinks/Cuffdiff identified 455 transcripts were differentially expressed in embryos of mothers exposed to simulated predation risk as compared to control embryos, with an FDR <0.05 (Cuffdiff) or <0.10 (EdgeR). Gene ontology and pathway analysis (DAVID, IPA) of the differentially expressed gene list revealed enrichment of genes involved in growth, metabolism, neurogenesis, and epigenetics. Embryos of mothers exposed to predation risk had elevated expression of growth and metabolism genes and were also larger than control embryos, suggesting at least some of the genes differentially expressed in this study are involved in the transfer of maternal experience to offspring. Conclusions: Our results suggest that early stickleback embryos respond to maternal exposure to predation risk via changes in gene expression, and a general acceleration of the developmental program. Further study is needed to elucidate the myriad molecular interactions between genes that are differentially-regulated as a result of maternal exposure to predation risk and to understand their relationships to previously-observed maternal effects in this system. Whole embryo mRNA profiles of 3dpf stickleback embryos of mothers exposed to simulated predation risk [E] and control mothers [C] were generated by barcoded, multiplexed high-throughput RNA-sequencing on Illumina Hiseq-2000.
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Project description:Purpose: The goal of this study was to compare gene expression in whole embryos to identify transcriptomic changes that result from maternal exposure to predation risk. Methods: Whole embryo mRNA profiles of 3 day post-fertilizationstickleback embrosof mothers exposed to simulated predation risk and control embryos were generated by RNA-sequencing of pooled embryos using Illumina Hiseq2000. The sequence reads that passed quality filters were aligned to the stickleback reference genome and analyzed at the gene level (EdgeR) and at the transcript level (Cufflinks/Cuffdiff). Subsets of embryos were also measured for embryo length and eye diameter, and data were analyzed with a general linear model (SPSS). Results: We mapped ~22 million sequence reads per sample to the stickleback reference genome (BROADS1, Ensembl database version 71.1, Feb 2006) and identified 17440 transcripts with the Tophat workflow. Differential expression analysis using both EdgeR and Cufflinks/Cuffdiff identified 455 transcripts were differentially expressed in embryos of mothers exposed to simulated predation risk as compared to control embryos, with an FDR <0.05 (Cuffdiff) or <0.10 (EdgeR). Gene ontology and pathway analysis (DAVID, IPA) of the differentially expressed gene list revealed enrichment of genes involved in growth, metabolism, neurogenesis, and epigenetics. Embryos of mothers exposed to predation risk had elevated expression of growth and metabolism genes and were also larger than control embryos, suggesting at least some of the genes differentially expressed in this study are involved in the transfer of maternal experience to offspring. Conclusions: Our results suggest that early stickleback embryos respond to maternal exposure to predation risk via changes in gene expression, and a general acceleration of the developmental program. Further study is needed to elucidate the myriad molecular interactions between genes that are differentially-regulated as a result of maternal exposure to predation risk and to understand their relationships to previously-observed maternal effects in this system.
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Project description:Mechanism of bacterial predation via ixotrophy
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Project description:Purpose: Protozoan predators affect the structure of bacterial communities, but investigations into how predation influences bacterial evolution and antagonistic behaviours are scarce. We performed a 20-day predator-prey evolution experiment on solid media to investigate the adaptive traits that arise in bacterial prey under continuous protozoan predation. Methods: Pseudomonas fluorescens SBW25 and a wild Acanthamoeba sp. isolate as a predator prey pair co-evolved for 20 days yielded both previously described (Wrinkly Spreader; WS) and novel colony morphotype (Wrinkly Fried Egg; WFE) isolates with conferred grazing resistance. These isolates were subjected to RNAseq profiling with and without predation to determine transcriptional changes contributing to grazing resistance. Results: For differential gene expression the WT SBW25 without predation was used as a baseline. For the WS condition, a total of 881 differentially expressed genes (DEGs) were identified, of which 424 were upregulated and 457 were downregulated. In the WFE condition, a total of 908 DEGs were identified, of which 475 were upregulated and 434 were downregulated. Among all DEGs, 335 upregulated and 313 downregulated genes were shared between the WS1 and WFE conditions Conclusions: Our findings suggest that protozoan predation can profoundly influence the course of genetic and phenotypic evolution in a short period of time. Together, the differential expression results suggest expression of features that would be expected to increase biofilm formation in WFE according to previous studies. However, increased expression of these traits may not lead to a stronger biofilm, but may still provide predation resistance. For example, fibrils may increase the effective profile size of a bacterial cell. Increased Fap-mediated biofilm formation also induces increased alginate synthesis in P. aeruginosa PA01, an exopolysaccharide that protects mucoid P. aeruginosa against macrophage killing. Interestingly, we found increased expression of alginate biosynthesis genes in both WFE and WS1 (algA, algF), suggesting alternate mechanisms leading to increased alginate production in these two strains.
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