AtMAD: Arabidopsis thaliana multi-omics association database.

Integration analysis of multi-omics data provides a comprehensive landscape for understanding biological systems and mechanisms. The abundance of high-quality multi-omics data (genomics, transcriptomics, methylomics and phenomics) for the model organism Arabidopsis thaliana enables scientists to study the genetic mechanism of many biological processes. However, no resource is available to provide comprehensive and systematic multi-omics associations for Arabidopsis. Here, we developed an Arabidopsis thaliana Multi-omics Association Database (AtMAD, http://www.megabionet.org/atmad), a public repository for large-scale measurements of associations between genome, transcriptome, methylome, pathway and phenotype in Arabidopsis, designed for facilitating identification of eQTL, emQTL, Pathway-mQTL, Phenotype-pathway, GWAS, TWAS and EWAS. Candidate variants/methylations/genes were identified in AtMAD for specific phenotypes or biological processes, many of them are supported by experimental evidence. Based on the multi-omics association strategy, we have identified 11 796 cis-eQTLs and 10 119 trans-eQTLs. Among them, 68 837 environment-eQTL associations and 149 622 GWAS-eQTL associations were identified and stored in AtMAD. For expression-methylation quantitative trait loci (emQTL), we identified 265 776 emQTLs and 122 344 pathway-mQTLs. For TWAS and EWAS, we obtained 62 754 significant phenotype-gene associations and 3 993 379 significant phenotype-methylation associations, respectively. Overall, the multi-omics associated network in AtMAD will provide new insights into exploring biological mechanisms of plants at multi-omics levels.

Static magnetic field regulates Arabidopsis root growth via auxin signaling.

Static magnetic field (SMF) plays important roles in biological processes of many living organisms. In plants, however, biological significance of SMF and molecular mechanisms underlying SMF action remain largely unknown. To address these questions, we treated Arabidopsis young seedlings with different SMF intensities and directions. Magnetic direction from the north to south pole was adjusted in parallel (N0) with, opposite (N180) and perpendicular to the gravity vector. We discovered that root growth is significantly inhanced by 600 mT treatments except for N180, but not by any 300 mT treatments. N0 treatments lead to more active cell division of the meristem, and higher auxin content that is regulated by coordinated expression of PIN3 and AUX1 in root tips. Consistently, N0-promoted root growth disappears in pin3 and aux1 mutants. Transcriptomic and gene ontology analyses revealed that in roots 85% of the total genes significantly down-regulated by N0 compared to untreatment are enriched in plastid biological processes, such as metabolism and chloroplast development. Lastly, no difference in root length is observed between N0-treated and untreated roots of the double cryptochrome mutant cry1 cry2. Taken together, our data suggest that SMF-regulated root growth is mediated by CRY and auxin signaling pathways in Arabidopsis.

Natural variations of growth thermo-responsiveness determined by SAUR26/27/28 proteins in Arabidopsis thaliana.

How diversity in growth thermo-responsiveness is generated for local adaptation is a long-standing biological question. We investigated molecular genetic basis of natural variations in thermo-responsiveness of plant architecture in Arabidopsis thaliana. We measured the extent of rosette architecture at 22°C and 28°C in a set of 69 natural accessions and determined their thermo-responsiveness of plant architecture. A genome-wide association study was performed to identify major loci for variations in thermo-responsiveness. The SAUR26 subfamily, a new subfamily of SAUR genes, was identified as a major locus for the thermo-responsive architecture variations. The expression of SAUR26/27/28 is modulated by temperature and PIF4. Extensive natural polymorphisms in these genes affect their RNA expression levels and protein activities and influence the thermo-responsiveness of plant architecture. In addition, the SAUR26 subfamily genes exhibit a high variation frequency and their variations are associated with the local temperature climate. This study reveals that the SAUR26 subfamily is a key variation for thermo-responsive architecture and suggests a preference for generating diversity for local adaptation through signaling connectors.

Diverse contributions of MYC2 and EIN3 in the regulation of Arabidopsis jasmonate-responsive gene expression.

Derepression of transcription factors is the key mechanism for triggering plant jasmonate (JA) responses. Unlike regulating certain physiological functions for the majority of transcription factors in JA signaling, MYC2 and EIN3 control more diverse aspects. MYC2 predominantly participates in wounding response, metabolism, and root growth inhibition, while EIN3 (and its closest homolog EIL1) regulates defense gene expression and root hair development. Recently, it was reported that MYC2 and EIN3/EIL1 proteins mutually interact with each other and suppress their interaction partner's transcriptional activities. To understand their contributions in the modulation of transcriptomic network, we initially identified 1,495 differentially expressed jasmonate (JA)-responsive genes in wild-type Arabidopsis through RNA-seq analysis. Among them, 25% or 4.2% were independently regulated by EIN3/EIL1 or MYC2, respectively. Further analysis showed that EIN3/EIL1 and MYC2 interdependently regulate 16.3% of the JA-regulated transcriptome, including downregulation of three auxin-related genes, which might confer JA-inhibited root elongation. Lastly, we found that <30 genes were antagonistically regulated by MYC2 and EIN3/EIL1. We conclude that EIN3/EIL1 play a dominant role while MYC2 largely relies on EIN3/EIL1 for executing its transcriptional activity, either synergistically or antagonistically.

AtPID: a genome-scale resource for genotype-phenotype associations in Arabidopsis.

AtPID (Arabidopsis thaliana Protein Interactome Database, available at http://www.megabionet.org/atpid) is an integrated database resource for protein interaction network and functional annotation. In the past few years, we collected 5564 mutants with significant morphological alterations and manually curated them to 167 plant ontology (PO) morphology categories. These single/multiple-gene mutants were indexed and linked to 3919 genes. After integrated these genotype-phenotype associations with the comprehensive protein interaction network in AtPID, we developed a Naïve Bayes method and predicted 4457 novel high confidence gene-PO pairs with 1369 genes as the complement. Along with the accumulated novel data for protein interaction and functional annotation, and the updated visualization toolkits, we present a genome-scale resource for genotype-phenotype associations for Arabidopsis in AtPID 5.0. In our updated website, all the new genotype-phenotype associations from mutants, protein network, and the protein annotation information can be vividly displayed in a comprehensive network view, which will greatly enhance plant protein function and genotype-phenotype association studies in a systematical way.