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ABSTRACT: Carry-over effect of ocean acidification in Hong Kong oyster in field

PROVIDER: PRJNA741374 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR14926376_1.fastq.gz	Fastqsanger.gz
	SRR14926376_2.fastq.gz	Fastqsanger.gz
	SRR14926377_1.fastq.gz	Fastqsanger.gz
	SRR14926377_2.fastq.gz	Fastqsanger.gz
	SRR14926378_1.fastq.gz	Fastqsanger.gz

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Project description:Acidification of seawater due to anthropogenic CO2, called as ocean acidification (OA), makes most coastal environments unfavorable for oysters. This is a serious socio-economical issue for China which is accounting for >70% of the world’s edible oyster supply. Understanding of OA effects at proteome level could lead to a better aquaculture management. Here, we present an iTRAQ based protein profiling analysis for the detection and quantification of proteome change under OA in one of the early life stages of a commercially important oyster species, Crassostrea hongkongensis. The completion of the genome sequence for oysters enabled us to confidently quantify over 1500 proteins in the larval oyster. Over 10% of proteome was altered in response to OA process at pH 7.6. Analysis of differentially expressed proteins and their associated pathways indicated that up-regulation of calcification, metabolic processes, cytoskeletal functions, oxidative stress and cell signaling processes might have been used by larvae to acclimate under OA. Although the expressions of cytoskeletal and signal transduction proteins were down-regulated in response to OA, there was no marked alternation in developmental processes such as metamorphic success. This study suggests that the estuarine edible oyster possess an adequate short-term adaptability or acclimation mechanism at proteome level to tolerate near-future OA scenario.

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Project description:Sequencing the metatranscriptome can provide information about the response of organisms to varying environmental conditions. We present a methodology for obtaining random whole-community mRNA from a complex microbial assemblage using Pyrosequencing. The metatranscriptome had, with minimum contamination by ribosomal RNA, significant coverage of abundant transcripts, and included significantly more potentially novel proteins than in the metagenome. Keywords: metatranscriptome, mesocosm, ocean acidification This experiment is part of a much larger experiment. We have produced 4 454 metatranscriptomic datasets and 6 454 metagenomic datasets. These were derived from 4 samples. The experiment is an ocean acidification mesocosm set up in a Norwegian Fjord in 2006. We suspended 6 bags containing 11,000 L of sea water in a Coastal Fjord and then we bubbled CO2 through three of these bags to simulate ocean acidification conditions in the year 2100. The other three bags were bubbled with air. We then induced a phytoplankton bloom in all six bags and took measurements and performed analyses of phytoplankton, bacterioplankton and physiochemical characteristics over a 22 day period. We took water samples from the peak of the phytoplankton bloom and following the decline of the phytoplankton bloom to analyses using 454 metagenomics and 454 metatranscriptomics. Day 1, High CO2 Bag and Day 1, Present Day Bag, refer to the metatranscriptomes from the peak of the bloom. Day 2, High CO2 Bag and Day 2, Present Day Bag, refer to the metatranscriptomes following the decline of the bloom. Obviously High CO2 refers to the ocean acidification mesocosm and Present Day refers to the control mesocosm. Raw data for both the metagenomic and metatranscriptomic components are available at NCBI's Short Read Archive at ftp://ftp.ncbi.nlm.nih.gov/sra/Studies/SRP000/SRP000101

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