ArticleBMC genomics2016
Analysis of weighted co-regulatory networks in maize provides insights into new genes and regulatory mechanisms related to inositol phosphate metabolism.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 27 citations in OpenAlex.
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- Recent advances in exploring transcriptional regulatory landscape of crops.Frontiers in plant science · 2024Review
- Expression Dynamics ofPlants (Basel, Switzerland) · 2023Article
- Advances of Apetala2/Ethylene Response Factors in Regulating Development and Stress Response in Maize.International journal of molecular sciences · 2023Review
- Comprehensive evaluation and analysis of the salinity stress response mechanisms based on transcriptome and metabolome of Staphylococcus aureus.Archives of microbiology · 2021Article
- Development of SNP Set for the Marker-Assisted Selection of Guar (Plants (Basel, Switzerland) · 2021Article
- Genome-Wide Analysis ofGenes · 2021Article
- Transcriptome analysis identifies differentially expressed genes in the progenies of a cross between two low phytic acid soybean mutants.Scientific reports · 2021Article
- Genome-Wide Identification and Expression Analysis of Metal Tolerance Protein Gene Family inFrontiers in genetics · 2021Article
- Expression regulation of myo-inositol 3-phosphate synthase 1 (INO1) in determination of phytic acid accumulation in rice grain.Scientific reports · 2019Article
- RNAi-Mediated Downregulation of Inositol Pentakisphosphate Kinase (Frontiers in plant science · 2018Article
- Co-expression network analysis of the transcriptomes of rice roots exposed to various cadmium stresses reveals universal cadmium-responsive genes.BMC plant biology · 2017Article
- Transcriptome analysis explores genes related to shikonin biosynthesis in Lithospermeae plants and provides insights into Boraginales' evolutionary history.Scientific reports · 2017Article
- Inference of Transcription Regulatory Network in Low Phytic Acid Soybean Seeds.Frontiers in plant science · 2017Article
- Multilevel Regulation of Abiotic Stress Responses in Plants.Frontiers in plant science · 2017Review
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundD-myo-inositol phosphates (IPs) are a series of phosphate esters. Myo-inositol hexakisphosphate (phytic acid, IP6) is the most abundant IP and has negative effects on animal and human nutrition. IPs play important roles in plant development, stress responses, and signal transduction. However, the metabolic pathways and possible regulatory mechanisms of IPs in maize are unclear. In this study, the B73 (high in phytic acid) and Qi319 (low in phytic acid) lines were selected for RNA-Seq analysis from 427 inbred lines based on a screening of IP levels. By integrating the metabolite data with the RNA-Seq data at three different kernel developmental stages (12, 21 and 30 days after pollination), co-regulatory networks were constructed to explore IP metabolism and its interactions with other pathways.
resultsDifferentially expressed gene analyses showed that the expression of MIPS and ITPK was related to differences in IP metabolism in Qi319 and B73. Moreover, WRKY and ethylene-responsive transcription factors (TFs) were common among the differentially expressed TFs, and are likely to be involved in the regulation of IP metabolism. Six co-regulatory networks were constructed, and three were chosen for further analysis. Based on network analyses, we proposed that the GA pathway interacts with the IP pathway through the ubiquitination pathway, and that Ca(2+) signaling functions as a bridge between IPs and other pathways. IP pools were found to be transported by specific ATP-binding cassette (ABC) transporters. Finally, three candidate genes (Mf3, DH2 and CB5) were identified and validated using Arabidopsis lines with mutations in orthologous genes or RNA interference (RNAi)-transgenic maize lines. Some mutant or RNAi lines exhibited seeds with a low-phytic-acid phenotype, indicating perturbation of IP metabolism. Mf3 likely encodes an enzyme involved in IP synthesis, DH2 encodes a transporter responsible for IP transport across organs and CB5 encodes a transporter involved in IP co-transport into vesicles.
conclusionsThis study provides new insights into IP metabolism and regulation, and facilitates our development of a better understanding of the functions of IPs and how they interact with other pathways involved in plant development and stress responses. Three new genes were discovered and preliminarily validated, thereby increasing our knowledge of IP metabolism.
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