2016
DOI: 10.1093/nar/gkw910
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ccNET: Database of co-expression networks with functional modules for diploid and polyploidGossypium

Abstract: Plant genera with both diploid and polyploid species are a common evolutionary occurrence. Polyploids, especially allopolyploids such as cotton and wheat, are a great model system for heterosis research. Here, we have integrated genome sequences and transcriptome data of Gossypium species to construct co-expression networks and identified functional modules from different cotton species, including 1155 and 1884 modules in G. arboreum and G. hirsutum, respectively. We overlayed the gene expression results onto … Show more

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Cited by 80 publications
(72 citation statements)
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“…To explore the possibility that more genes from cotton, beyond CYP749A16, are involved in generating TFS herbicide tolerance, we examined expression of select genes by RT-qPCR. We queried the ccNET database with Gh_D10G1401 to find genes that are often co-expressed [ 42 ]. From the list, we selected genes with the highest mutual ranks, plus high ranking P450 genes and genes with no known ortholog in Arabidopsis .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To explore the possibility that more genes from cotton, beyond CYP749A16, are involved in generating TFS herbicide tolerance, we examined expression of select genes by RT-qPCR. We queried the ccNET database with Gh_D10G1401 to find genes that are often co-expressed [ 42 ]. From the list, we selected genes with the highest mutual ranks, plus high ranking P450 genes and genes with no known ortholog in Arabidopsis .…”
Section: Resultsmentioning
confidence: 99%
“…The ccNet database was queried for co-expressed genes of Gh_D10G1401 [ 42 ]. Twenty genes, including four P450 genes, and eight genes without an obvious ortholog in Arabidopsis were selected for analysis and specific RT-qPCR primers were designed (Additional file 1 : Table S5).…”
Section: Methodsmentioning
confidence: 99%
“…The expression level of GhPHD genes were extracted from the transcriptome analysis data and heatmap were drawn by TBtools [60]. The ccNET software [62] was used to analyze the co-expression network relation of PHD genes.…”
Section: Identification Of Cis-acting Elements In the Ghphd Promoter mentioning
confidence: 99%
“…Co-expression network was constructed as described previously. The adjacent global gene positive and negative co-expression network of the PCG was generated online (http://structuralbiology.cau.edu.cn/gossypium/) [63].…”
Section: Co-expression Networkmentioning
confidence: 99%