ArticleBMC genomics2019
Investigation into the underlying regulatory mechanisms shaping inflorescence architecture in Chenopodium quinoa.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Elucidating the Differentiation Synthesis Mechanisms of Differently Colored Resistance Quinoa Seedings Using Metabolite Profiling and Transcriptome Analysis.Metabolites · 2023Article
- Identification of the global diurnal rhythmic transcripts, transcription factors and time-of-day specific cis elements in Chenopodium quinoa.BMC plant biology · 2023Article
- Article
- Regulatory function of the endogenous hormone in the germination process of quinoa seeds.Frontiers in plant science · 2023Article
- Article
- Transcriptomic and metabolomic landscape of quinoa during seed germination.BMC plant biology · 2022Article
- Article
- Genetic studies on continuous flowering in woody plantFrontiers in plant science · 2022Article
- Genome-wide identification and expression analysis disclose the pivotalFrontiers in plant science · 2022Article
- Prospects for the accelerated improvement of the resilient crop quinoa.Journal of experimental botany · 2020Article
- The genotype-dependent phenotypic landscape of quinoa in salt tolerance and key growth traits.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
backgroundInflorescence architecture is denoted by the spatial arrangement of various lateral branches and florets formed on them, which is shaped by a complex of regulators. Unveiling of the regulatory mechanisms underlying inflorescence architecture is pivotal for improving crop yield potential. Quinoa (Chenopodium quinoa Willd), a pseudo cereal originated from Andean region of South America, has been widely recognized as a functional super food due to its excellent nutritional elements. Increasing worldwide consumption of this crop urgently calls for its yield improvement. However, dissection of the regulatory networks underlying quinoa inflorescence patterning is lacking.
resultsIn this study, we performed RNA-seq analysis on quinoa inflorescence samples collected from six developmental stages, yielding a total of 138.8 GB data. We screened 21,610 differentially expressed genes (DEGs) among all the stages through comparative analysis. Weighted Gene Co-Expression Network Analysis (WGCNA) was performed to categorize the DEGs into ten different modules. Subsequently, we placed emphasis on investigating the modules associated with none branched and branched inflorescence samples. We manually refined the coexpression networks with stringent edge weight cutoffs, and generated core networks using transcription factors and key inflorescence architecture related genes as seed nodes. The core networks were visualized and analyzed by Cytoscape to obtain hub genes in each network. Our finding indicates that the specific occurrence of B3, TALE, WOX, LSH, LFY, GRAS, bHLH, EIL, DOF, G2-like and YABBY family members in early reproductive stage modules, and of TFL, ERF, bZIP, HD-ZIP, C2H2, LBD, NAC, C3H, Nin-like and FAR1 family members in late reproductive stage modules, as well as the several different MADS subfamily members identified in both stages may account for shaping quinoa inflorescence architecture.
conclusionIn this study we carried out comparative transcriptome analysis of six different stages quinoa inflorescences, and using WGCNA we obtained the most highly potential central hubs for shaping inflorescence. The data obtained from this study will enhance our understanding of the gene network regulating quinoa inflorescence architecture, as well will supply with valuable genetic resources for high-yield elite breeding in the future.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.