Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945648507> ?p ?o ?g. }
Showing items 1 to 34 of
34
with 100 items per page.
- W2945648507 abstract "The heavy metal pollution in ecosystems is of increasing global concern. The main sources of the metal toxicity are the industrial waste, mining and the use of pesticides containing heavy metals. Out of all heavy metals, mercury (Hg) is considered to be the one, easily accumulated in terrestrial plants as well as aquatic organism. Hg can induce more severe oxidative stress by triggering the production of reactive oxygen species (ROS) and damage macro-molecules. ROS serve not only as dangerous molecules that damage proteins, lipids and DNA but also as signalling molecules in the regulation of biological processes such as biotic and abiotic stress responses, growth and development. This study shows the change in the Chromera velia transcriptome due to Hg stress . C. velia is the recently discovered closest known relative of apicomplexans. Our study shows the first deep transcriptomic analysis of C. velia , specifically focusing on the expression level of the genes involved in detoxification defence systems under heavy metal stress. The results show that in total 1239 genes are differentially expressed. DEGs (Differentially expressed genes) showed overall up-regulation (1,070 genes) and only 169 up-regulated genes in cultures under Mercury stress (Cvel_mer) when compared to the control level (Cvel_cont). The qPCR expression analysis exhibited a positive correlation with the findings of RNA-seq data." @default.
- W2945648507 created "2019-05-29" @default.
- W2945648507 creator A5007797661 @default.
- W2945648507 creator A5022370191 @default.
- W2945648507 creator A5045165893 @default.
- W2945648507 creator A5089460078 @default.
- W2945648507 date "2019-05-22" @default.
- W2945648507 modified "2023-10-03" @default.
- W2945648507 title "Deep transcriptomic analysis of Chromera velia under Mercury-stress condition" @default.
- W2945648507 doi "https://doi.org/10.7287/peerj.preprints.27750v1" @default.
- W2945648507 hasPublicationYear "2019" @default.
- W2945648507 type Work @default.
- W2945648507 sameAs 2945648507 @default.
- W2945648507 citedByCount "0" @default.
- W2945648507 crossrefType "posted-content" @default.
- W2945648507 hasAuthorship W2945648507A5007797661 @default.
- W2945648507 hasAuthorship W2945648507A5022370191 @default.
- W2945648507 hasAuthorship W2945648507A5045165893 @default.
- W2945648507 hasAuthorship W2945648507A5089460078 @default.
- W2945648507 hasBestOaLocation W29456485071 @default.
- W2945648507 hasConcept C199360897 @default.
- W2945648507 hasConcept C2777777548 @default.
- W2945648507 hasConcept C41008148 @default.
- W2945648507 hasConceptScore W2945648507C199360897 @default.
- W2945648507 hasConceptScore W2945648507C2777777548 @default.
- W2945648507 hasConceptScore W2945648507C41008148 @default.
- W2945648507 hasLocation W29456485071 @default.
- W2945648507 hasOpenAccess W2945648507 @default.
- W2945648507 hasPrimaryLocation W29456485071 @default.
- W2945648507 hasRelatedWork W3125107225 @default.
- W2945648507 isParatext "false" @default.
- W2945648507 isRetracted "false" @default.
- W2945648507 magId "2945648507" @default.
- W2945648507 workType "article" @default.