Transcriptome analysis of the Sepia pharaonis: Identification of low salinity stress-related information and microsatellite markers

2020 ◽  
Vol 35 ◽  
pp. 100705 ◽  
Author(s):  
Zhiming Ren ◽  
Yun Zhao ◽  
Weiwei Song ◽  
Chunlin Wang ◽  
Changkao Mu ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Salinity Stress ◽  
Transcriptome Analysis ◽  
Low Salinity ◽  
Related Information ◽  
Sepia Pharaonis

scholarly journals Gill transcriptome analysis reveals the molecular response to the acute low-salinity stress in Cyclina sinensis

2021 ◽  
Vol 19 ◽  
pp. 100564
Author(s):  
Qian Ni ◽  
Wenqian Li ◽  
Xiafei Liang ◽  
Jialing Liu ◽  
Hongxing Ge ◽  
...  
Keyword(s):  
Salinity Stress ◽  
Transcriptome Analysis ◽  
Molecular Response ◽  
Low Salinity ◽  
Cyclina Sinensis

scholarly journals Transcriptome Analysis of the Sepia pharaonis: Identification of salt stress-related information and Microsatellite Markers

2020 ◽  
Author(s):  
Zhiming Ren ◽  
Yun Zhao ◽  
Weiwei Song ◽  
Chunlin Wang ◽  
Changkao Mu ◽  
...  
Keyword(s):  
Salt Stress ◽  
Transcriptome Analysis ◽  
Transcriptome Sequencing ◽  
Control Group ◽  
Protein Database ◽  
Kegg Pathways ◽  
Related Information ◽  
Sepia Pharaonis ◽  
Paired End Sequencing ◽  
Go Terms

Abstract Background: Sepia pharaonis has great commercial value for aquaculture. However, it is sensitive to salinity fluctuations and lacking in genomic information. The present work utilized throughput transcriptome sequencing to assess the factors associated with salt stress in Sepia pharaonis. Results: Based on the Illumina paired-end sequencing results, 203,852,818 raw reads were produced, and 130,857 unigenes were assembled having an average of 784.72 bp in length. Transcriptome analysis identified 16013 and 24119 unigenes in the Swiss-Prot protein database and NCBI non-redundant database, respectively. Of note, 12717 unigenes were grouped into 64 Gene Ontology (GO) terms, 5237 unigenes were classified into 332 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, 13808 unigenes were subcategorized into 25 Cluster of orthologous groups for eukaryotic complete genomes (KOG) functional categories based on functional analysis. Besides, 6153 genes were identified as differentially expressed (p≤0.05), of which 3340 were increased and 2813 were decreased in treatment group relative to the control group. Subsequently, these DEGs were allocated to 226 KEGG pathways and 491 GO terms. Analysis of the transcriptome sequences and DEGs identified several unigenes and pathways involved in salt stress regulation. Moreover, the Sepia pharaonis carried 101576 simple sequence repeats (SSRs). Conclusions: This is the first time osmoregulation in Sepia pharaonis has been explored by transcriptome sequencing. The data presented here reveals key insights into the genetic markers of salt stress in Sepia pharaonis.

Low salinity stress experienced by larvae does not affect post-metamorphic growth or survival in three calyptraeid gastropods

2011 ◽  
Vol 397 (2) ◽  
pp. 94-105 ◽  
Author(s):  
Casey M. Diederich ◽  
Jeremiah N. Jarrett ◽  
Oscar R. Chaparro ◽  
C.J. Segura ◽  
Shawn M. Arellano ◽  
...  
Keyword(s):  
Salinity Stress ◽  
Low Salinity

Susceptibility of the Heat-, Acid-, and Bile-Adapted Vibrio vulnificus to Lethal Low-Salinity Stress

2006 ◽  
Vol 69 (12) ◽  
pp. 2924-2928 ◽  
Author(s):  
HIN-CHUNG WONG ◽  
SHU-HUI LIU
Keyword(s):  
Stationary Phase ◽  
Salinity Stress ◽  
Natural Environment ◽  
Food Processing ◽  
Vibrio Vulnificus ◽  
Pathogenic Bacterium ◽  
Protective Response ◽  
Low Salinity ◽  
Salinity Challenge ◽  
Insight Into

As a marine pathogenic bacterium that inhabits seawater or seafood, Vibrio vulnificus encounters low salinity and other stresses in the natural environment and during food processing. This investigation explores the cross-protective response of sublethal heat-, acid-, or bile-adapted V. vulnificus YJ03 against lethal low-salinity stress. Experimental results reveal that the acid (pH 4.4)– and heat (41°C)–adapted V. vulnificus were not cross-protected against the lethal low-salinity challenge (0.04% NaCl). The bile (0.05%)–adapted exponential- and stationary-phase cells were cross-protected against low salinity, whereas low-salinity (0.12% NaCl)–adapted stationary cells were sensitized against 12% bile stress. Results of this study provide further insight into the interaction between low salinity and other common stresses in V. vulnificus.

Characterization of the Low-Salinity Stress in Vibrio vulnificus

2008 ◽  
Vol 71 (2) ◽  
pp. 416-419 ◽  
Author(s):  
HIN-CHUNG WONG ◽  
SHU-HUI LIU
Keyword(s):  
Salinity Stress ◽  
Food Processing ◽  
Vibrio Vulnificus ◽  
Exponential Phase ◽  
Salinity Adaptation ◽  
Significant Protection ◽  
Low Salinity ◽  
Short Period ◽  
Nonculturable State

Vibrio vulnificus is a marine pathogenic bacterium commonly found in seawater or seafood. This organism encounters low-salinity stress in its natural environment and during food processing. This study was designed to investigate the response of V. vulnificus YJ03 to lethal low salinity (0.04% NaCl) and its adaptation to sublethal salinity (0.12% NaCl with 20 amino acids added). A short period in the nonculturable state was induced by lethal low-salinity stress followed by cell death after 30 min of stress. Addition of 1 mM glycine betaine or 0.5 mM sucrose reduced the damage. Low-salinity adaptation was achieved in the exponential-phase cells but not in the stationary-phase cells. Significant protection against lethal low-salinity stress was attained when the cells were adapted for as little as 1.5 min. The adapted cells were significantly protected against lethal low salinity and 2.4% sodium sorbate but sensitized to the challenge of heat (52°C) and acid (pH 3.2). Nonlethal lowsalinity treatment of seafood should be avoided to prevent stress adaptation of V. vulnificus.

scholarly journals Time-series transcriptomic analysis of the kelp grouper Epinephelus moara in response to low salinity stress

2018 ◽  
Vol 22 (4) ◽  
pp. 234-242 ◽  
Author(s):  
Quanxin Gao ◽  
Yanfeng Yue ◽  
Minghua Min ◽  
Shiming Peng ◽  
Zhaohong Shi ◽  
...  
Keyword(s):  
Time Series ◽  
Salinity Stress ◽  
Transcriptomic Analysis ◽  
Low Salinity
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