title: Multiple-strategy analyses of ZmWRKY subgroups and functional exploration of ZmWRKY genes in pathogen responses.
abstract: The WRKY transcription factor family plays crucial roles in biotic responses, such as fungi, bacteria, viruses and nematode infections and insect attacks. In this article, multiple-strategy analyses of the three subgroups were performed in order to gain structural and evolutionary proofs of the overall WRKY family and unravel the functions possessed by each group or subgroup. Thus we analyzed the similarity of WRKY factors between maize and Arabidopsis based on homology modelling. The gene structure and motif analyses of Group II demonstrated that specific motifs existing in the given subgroups may contribute to the functional diversification of WRKY proteins and the two types of conserved intron splice sites suggest their evolutionary conservation. The evolutionary divergence time estimation of Group III proteins indicated that the divergence of Group III occurred during the Neogene period. Further, we focused on the roles of maize WRKYs in pathogen responses based on publicly available microarray experiments. The result suggested that some ZmWRKYs are expressed specifically under the infection of certain fungus, among which some are up-regulated and some are down-regulated, indicating their positive or negative roles in pathogen response. Also, some genes remain unchanged upon fungal infection. Pearson correlation coefficient (PCC) analysis was performed using 62 fungal infection experiments to calculate the correlation between each pair of genes. A PCC value higher than 0.6 was regarded as strong correlation - in these circumstances, ninety pairs of genes showed a strong positive correlation, while fifteen pairs of genes displayed a strong negative correlation. These correlated genes form a co-regulatory network and help us investigate the existence of interactions between WRKY proteins.
authors.affiliation: Department of Biological Sciences and Biotechnology, Zhangzhou Normal University, 36 Xian Qian Zhi Street, Zhangzhou 363000, Fujian, China. kaifa-wei@163.com
authors.forename: Kaifa
authors.initials: K
authors.lastname: Wei
authors.forename: Juan
authors.initials: J
authors.lastname: Chen
authors.forename: Yanfeng
authors.initials: Y
authors.lastname: Chen
authors.forename: LingJuan
authors.initials: L
authors.lastname: Wu
authors.forename: Daoxin
authors.initials: D
authors.lastname: Xie
mesh_terms: D020816:Amino Acid Motifs; D000595:Amino Acid Sequence; D017360:Arabidopsis / Q000235:genetics; D029681:Arabidopsis Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D005658:Fungi; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant; D008958:Models, Molecular; D008969:Molecular Sequence Data; D010802:Phylogeny; D010935:Plant Diseases / Q000235:genetics* / Q000382:microbiology; D010940:Plant Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D017434:Protein Structure, Tertiary; D014157:Transcription Factors / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism; D003313:Zea mays / Q000235:genetics* / Q000382:microbiology*
chemical_list: D029681:Arabidopsis Proteins; D010940:Plant Proteins; D014157:Transcription Factors