2015
DOI: 10.1016/j.fsi.2014.12.006
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Analysis of the transcriptomic profilings of Mandarin fish (Siniperca chuatsi) infected with Flavobacterium columnare with an emphasis on immune responses

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Cited by 39 publications
(20 citation statements)
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“…The GO and KEGG classification analysis of the annotated unigenes showed that of the GO annotated unigenes the “biological process” category was dominant, and in KEGG classification a dominant “metabolism” category was obtained. Similar results were also observed in other transcriptomic assays with fish liver, and these results conformed to the physiological roles of fish liver, which is a metabolism center of fish and plays vital roles in a wide range of biological processes 35 37 .…”
Section: Discussionsupporting
confidence: 87%
“…The GO and KEGG classification analysis of the annotated unigenes showed that of the GO annotated unigenes the “biological process” category was dominant, and in KEGG classification a dominant “metabolism” category was obtained. Similar results were also observed in other transcriptomic assays with fish liver, and these results conformed to the physiological roles of fish liver, which is a metabolism center of fish and plays vital roles in a wide range of biological processes 35 37 .…”
Section: Discussionsupporting
confidence: 87%
“…Common carp is an important commercial fish worldwide. Recently, the whole genome of common carp was sequenced [ 2 ]. There have been three reports about the miRNAs of common carp [ 9 , 10 , 11 ].…”
Section: Discussionmentioning
confidence: 99%
“…It can cause world-wide fish diseases with high mortality and heavy economical losses in aquaculture industry, including channel catfish ( Ictalurus punctatus ), grass carp ( Ctenopharygodon idella ), Mandarin fish ( Siniperca chuatsi ), and common carp ( Cyprinus carpio ), etc. [ 1 , 2 ]. Common carp is the number one fish of aquaculture in the world with the annual products amounting to approximately three million tonnes [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…A custom Perl program was used to remove short sequences (< 50 bp). Trinity ( https://github.com/trinityrnaseq/ trinityrnaseq/wiki) was used to perform the de novo assembles, and the resulting high-quality sequences were assembled into contigs and transcripts [ 28 ]. To reduce data redundancy, TGICL was used to assemble and cluster transcripts with a minimum length of 200 bp.…”
Section: Methodsmentioning
confidence: 99%