ArticlePloS one2012
Development, characterization and experimental validation of a cultivated sunflower (Helianthus annuus L.) gene expression oligonucleotide microarray.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- A comprehensive, open-source battery of movement imagery ability tests: Development and psychometric properties.Behavior research methods · 2026Article
- Genome-wide and comparative phylogenetic analysis of senescence-associated NAC transcription factors in sunflower (Helianthus annuus).BMC genomics · 2021Article
- Gene Expression Correlation Analysis Reveals MYC-NAC Regulatory Network in Cotton Pigment Gland Development.International journal of molecular sciences · 2021Article
- Adaptation Strategies to Improve the Resistance of Oilseed Crops to Heat Stress Under a Changing Climate: An Overview.Frontiers in plant science · 2021Review
- Exploring gene networks in two sunflower lines with contrasting leaf senescence phenotype using a system biology approach.BMC plant biology · 2019Article
- Transcription Factors Associated with Leaf Senescence in Crops.Plants (Basel, Switzerland) · 2019Review
- Identification of SSR and retrotransposon-based molecular markers linked to morphological characters in oily sunfl ower (Helianthus annuus L.) under natural and water-limited states.Journal of genetics · 2018Article
- Integration of transcriptomic and metabolic data reveals hub transcription factors involved in drought stress response in sunflower (Helianthus annuus L.).Plant molecular biology · 2017Article
- ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data.BMC bioinformatics · 2017Article
- Article
- A sunflower WRKY transcription factor stimulates the mobilization of seed-stored reserves during germination and post-germination growth.Plant cell reports · 2016Article
- Network and biosignature analysis for the integration of transcriptomic and metabolomic data to characterize leaf senescence process in sunflower.BMC bioinformatics · 2016Article
- Integrating transcriptomic and metabolomic analysis to understand natural leaf senescence in sunflower.Plant biotechnology journal · 2016Article
- A Factor Graph Approach to Automated GO Annotation.PloS one · 2016Article
- RNA-seq analysis and de novo transcriptome assembly of Jerusalem artichoke (Helianthus tuberosus Linne).PloS one · 2014Article
- Identification of candidate genes associated with leaf senescence in cultivated sunflower (Helianthus annuus L.).PloS one · 2014Article
- Comparison of functional gene annotation of Toxascaris leonina and Toxocara canis using CLC genomics workbench.The Korean journal of parasitology · 2013Article
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Authors and funding
18 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oligonucleotide-based microarrays with accurate gene coverage represent a key strategy for transcriptional studies in orphan species such as sunflower, H. annuus L., which lacks full genome sequences. The goal of this study was the development and functional annotation of a comprehensive sunflower unigene collection and the design and validation of a custom sunflower oligonucleotide-based microarray. A large scale EST (>130,000 ESTs) curation, assembly and sequence annotation was performed using Blast2GO (www.blast2go.de). The EST assembly comprises 41,013 putative transcripts (12,924 contigs and 28,089 singletons). The resulting Sunflower Unigen Resource (SUR version 1.0) was used to design an oligonucleotide-based Agilent microarray for cultivated sunflower. This microarray includes a total of 42,326 features: 1,417 Agilent controls, 74 control probes for sunflower replicated 10 times (740 controls) and 40,169 different non-control probes. Microarray performance was validated using a model experiment examining the induction of senescence by water deficit. Pre-processing and differential expression analysis of Agilent microarrays was performed using the Bioconductor limma package. The analyses based on p-values calculated by eBayes (p<0.01) allowed the detection of 558 differentially expressed genes between water stress and control conditions; from these, ten genes were further validated by qPCR. Over-represented ontologies were identified using FatiScan in the Babelomics suite. This work generated a curated and trustable sunflower unigene collection, and a custom, validated sunflower oligonucleotide-based microarray using Agilent technology. Both the curated unigene collection and the validated oligonucleotide microarray provide key resources for sunflower genome analysis, transcriptional studies, and molecular breeding for crop improvement.
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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.