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. 2012 Aug 9:12:138.
doi: 10.1186/1471-2229-12-138.

Genome-scale identification of cell-wall related genes in Arabidopsis based on co-expression network analysis

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Genome-scale identification of cell-wall related genes in Arabidopsis based on co-expression network analysis

Shan Wang et al. BMC Plant Biol. .

Abstract

Background: Identification of the novel genes relevant to plant cell-wall (PCW) synthesis represents a highly important and challenging problem. Although substantial efforts have been invested into studying this problem, the vast majority of the PCW related genes remain unknown.

Results: Here we present a computational study focused on identification of the novel PCW genes in Arabidopsis based on the co-expression analyses of transcriptomic data collected under 351 conditions, using a bi-clustering technique. Our analysis identified 217 highly co-expressed gene clusters (modules) under some experimental conditions, each containing at least one gene annotated as PCW related according to the Purdue Cell Wall Gene Families database. These co-expression modules cover 349 known/annotated PCW genes and 2,438 new candidates. For each candidate gene, we annotated the specific PCW synthesis stages in which it is involved and predicted the detailed function. In addition, for the co-expressed genes in each module, we predicted and analyzed their cis regulatory motifs in the promoters using our motif discovery pipeline, providing strong evidence that the genes in each co-expression module are transcriptionally co-regulated. From the all co-expression modules, we infer that 108 modules are related to four major PCW synthesis components, using three complementary methods.

Conclusions: We believe our approach and data presented here will be useful for further identification and characterization of PCW genes. All the predicted PCW genes, co-expression modules, motifs and their annotations are available at a web-based database: http://csbl.bmb.uga.edu/publications/materials/shanwang/CWRPdb/index.html.

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Figures

Figure 1
Figure 1
A flowchart of the computational analysis pipeline.
Figure 2
Figure 2
Nine co-expression modules containing CESA genes of CESA4, CESA7, and CESA8. Each square represents a TF; each yellow diamond represents a known PCW gene, and a red circle represents a novel PCW gene. Wherever possible, gene names are used instead of TAIR’s AT numbers. CESA4: AT5G44030, CESA7: AT5G17420, CESA8: AT4G18780, IRX9: AT2G37090, GAUT12/IRX8: AT5G54690, IRX12: AT2G38080, FRA8: AT2G28110, GATL1/Parvus: AT1G19300, SUD2: AT5G59290, SUD3: AT2G28760, PAL4: AT3G10340, UGD3: AT5G15490, COMT-like8: AT1G76790.
Figure 3
Figure 3
Positional distribution of AC elements. (A) Location distribution of the AC-I element-related motifs. (B) Location distribution of the AC-II element-related motifs.
Figure 4
Figure 4
Location distribution of predicted motifs in the promoter region of AtCesA8. The IDs and patterns of motifs are shown on the left. Bold IDs indicate the motifs are conserved in the orthologous genes of Populus. Each black box on the right shows the occurrence of the motif. Motifs are ordered according to their copy numbers.

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