Dataset Information

Global transcriptome and gene co-expression network analyses on the development of distyly in Primula oreodoxa.

ABSTRACT: Distyly is a genetically controlled flower polymorphism that has intrigued both botanists and evolutionary biologists ever since Darwin's time. Despite extensive reports on the pollination and evolution of distylous systems, the genetic basis and mechanism of molecular regulation remain unclear. In the present study, comparative transcriptome profiling was conducted in primrose (Primula oreodoxa), the prime research model for heterostyly. Thirty-six transcriptomes were sequenced for styles at different stages and corolla tube in the three morphs of P. oreodoxa. Large numbers of differentially expressed genes (DEGs) were detected in the transcriptomes of styles across different morphs. Several transcription factors (TFs) and phytohormone metabolism-related genes were highlighted in S-morphs. A growing number of genes showed differential expression patterns along with the development of styles, suggesting that the genetic control of distyly may be more complicated than ever expected. Analysis of co-expression networks and module-trait relationships identified modules significantly associated with style development. CYP734A50, a key S-locus gene whose products degrade brassinosteroids, was co-expressed with many genes in the module and showed significant negative association with style length. In addition, crucial TFs involved in phytohormone signaling pathways were found to be connected with CYP734A50 in the co-expression module. Our global transcriptomic analysis has identified DEGs that are potentially involved in regulation of style length in P. oreodoxa, and may shed light on the evolution and broad biological processes of heterostyly.

SUBMITTER: Zhao Z

PROVIDER: S-EPMC6834660 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Global transcriptome and gene co-expression network analyses on the development of distyly in Primula oreodoxa.

Zhao Zhongtao Z Luo Zhonglai Z Yuan Shuai S Mei Lina L Zhang Dianxiang D

Heredity 20190715 6

Distyly is a genetically controlled flower polymorphism that has intrigued both botanists and evolutionary biologists ever since Darwin's time. Despite extensive reports on the pollination and evolution of distylous systems, the genetic basis and mechanism of molecular regulation remain unclear. In the present study, comparative transcriptome profiling was conducted in primrose (Primula oreodoxa), the prime research model for heterostyly. Thirty-six transcriptomes were sequenced for styles at di ...[more]

PMID: 31308492

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Project description:Drought is the major abiotic stress threatening maize (Zea mays L.) production globally. Despite recent scientific headway in deciphering maize drought stress responses, the overall picture of key genes, pathways, and co-expression networks regulating maize drought tolerance is still fragmented. Therefore, deciphering the molecular basis of maize drought tolerance remains pertinent. Here, through a comprehensive comparative leaf transcriptome analysis of drought-tolerant hybrid ND476 plants subjected to water-sufficient and water-deficit treatment conditions at flared (V12), tasseling (VT), the prophase of grain filling (R2), and the anaphase of grain filling (R4) crop growth stages, we report growth-stage-specific molecular mechanisms regulating maize drought stress responses. Based on the transcriptome analysis, a total of 3,451 differentially expressed genes (DEGs) were identified from the four experimental comparisons, with 2,403, 650, 397, and 313 DEGs observed at the V12, VT, R1, and R4 stages, respectively. Subsequently, 3,451 DEGs were divided into 12 modules by weighted gene co-expression network analysis (WGCNA), comprising 277 hub genes. Interestingly, the co-expressed genes that clustered into similar modules exhibited diverse expression tendencies and got annotated to different GO terms at different stages. MapMan analysis revealed that DEGs related to stress signal transduction, detoxification, transcription factor regulation, hormone signaling, and secondary metabolites biosynthesis were universal across the four growth stages. However, DEGs associated with photosynthesis and amino acid metabolism; protein degradation; transport; and RNA transcriptional regulation were uniquely enriched at the V12, VT, R2, and R4 stages, respectively. Our results affirmed that maize drought stress adaptation is a growth-stage-specific response process, and aid in clarifying the fundamental growth-stage-specific mechanisms regulating drought stress responses in maize. Moreover, genes and metabolic pathways identified here can serve as valuable genetic resources or selection targets for further functional validation experiments.

Project description:BackgroundChlamydomonas reinhardtii is the model organism that serves as a reference for studies in algal genomics and physiology. It is of special interest in the study of the evolution of regulatory pathways from algae to higher plants. Additionally, it has recently gained attention as a potential source for bio-fuel and bio-hydrogen production. The genome of Chlamydomonas is available, facilitating the analysis of its transcriptome by RNA-seq data. This has produced a massive amount of data that remains fragmented making necessary the application of integrative approaches based on molecular systems biology.ResultsWe constructed a gene co-expression network based on RNA-seq data and developed a web-based tool, ChlamyNET, for the exploration of the Chlamydomonas transcriptome. ChlamyNET exhibits a scale-free and small world topology. Applying clustering techniques, we identified nine gene clusters that capture the structure of the transcriptome under the analyzed conditions. One of the most central clusters was shown to be involved in carbon/nitrogen metabolism and signalling, whereas one of the most peripheral clusters was involved in DNA replication and cell cycle regulation. The transcription factors and regulators in the Chlamydomonas genome have been identified in ChlamyNET. The biological processes potentially regulated by them as well as their putative transcription factor binding sites were determined. The putative light regulated transcription factors and regulators in the Chlamydomonas genome were analyzed in order to provide a case study on the use of ChlamyNET. Finally, we used an independent data set to cross-validate the predictive power of ChlamyNET.ConclusionsThe topological properties of ChlamyNET suggest that the Chlamydomonas transcriptome posseses important characteristics related to error tolerance, vulnerability and information propagation. The central part of ChlamyNET constitutes the core of the transcriptome where most authoritative hub genes are located interconnecting key biological processes such as light response with carbon and nitrogen metabolism. Our study reveals that key elements in the regulation of carbon and nitrogen metabolism, light response and cell cycle identified in higher plants were already established in Chlamydomonas. These conserved elements are not only limited to transcription factors, regulators and their targets, but also include the cis-regulatory elements recognized by them.

Dataset Information

Global transcriptome and gene co-expression network analyses on the development of distyly in Primula oreodoxa.

Publications

Global transcriptome and gene co-expression network analyses on the development of distyly in Primula oreodoxa.

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