ArticleBMC genomics2016
Characterization of the watercress (Nasturtium officinale R. Br.; Brassicaceae) transcriptome using RNASeq and identification of candidate genes for important phytonutrient traits linked to human health.
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 13 papers.
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Who cites it
13 citing papers in PubMed, 40 citations in OpenAlex.
- Injectable microgels loaded with programmable WELNs based on mendelian randomization macroanalysis alleviate osteoarthritis by restoring the circadian rhythm.Bioactive materials · 2026Article
- Watercress-derived glucosinolates as potential allosteric PTP1B inhibitors: a dual in silico and in vitro study on insulin signaling modulation.BMC chemistry · 2025Article
- Breeding indoor watercress for enhanced crop biofortification: harnessing natural variation of wild germplasm.Frontiers in plant science · 2025Article
- Construction of an Efficient Genetic Transformation System for Watercress (Plants (Basel, Switzerland) · 2023Article
- Making watercress (Frontiers in plant science · 2023Article
- Identification, In Silico Characterization, and Differential Expression Profiles of Carotenoid, Xanthophyll, Apocarotenoid Biosynthetic Pathways Genes, and Analysis of Carotenoid and Xanthophyll Accumulation inInternational journal of molecular sciences · 2022Article
- Understanding the Postharvest Phytochemical Composition Fates of Packaged Watercress (Plants (Basel, Switzerland) · 2022Article
- Identification, Characterization, and Expression Analysis of Carotenoid Biosynthesis Genes and Carotenoid Accumulation in Watercress (ACS omega · 2022Article
- Phenylethyl Isothiocyanate Extracted from Watercress By-Products with Aqueous Micellar Systems: Development and Optimisation.Antioxidants (Basel, Switzerland) · 2020Article
- Identification and analysis of phenylpropanoid biosynthetic genes and phenylpropanoid accumulation in watercress (3 Biotech · 2020Article
- A high-density genetic map and QTL mapping of leaf traits and glucosinolates in Barbarea vulgaris.BMC genomics · 2019Article
- Healthy Roots and Leaves: Comparative Genome Structure of Horseradish and Watercress.Plant physiology · 2019Article
- De novo transcriptome analysis and glucosinolate profiling in watercress (Nasturtium officinale R. Br.).BMC genomics · 2017Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundConsuming watercress is thought to provide health benefits as a consequence of its phytonutrient composition. However, for watercress there are currently limited genetic resources underpinning breeding efforts for either yield or phytonutritional traits. In this paper, we use RNASeq data from twelve watercress accessions to characterize the transcriptome, perform candidate gene mining and conduct differential expression analysis for two key phytonutritional traits: antioxidant (AO) capacity and glucosinolate (GLS) content.
resultsThe watercress transcriptome was assembled to 80,800 transcripts (48,732 unigenes); 71 % of which were annotated based on orthology to Arabidopsis. Differential expression analysis comparing watercress accessions with 'high' and 'low' AO and GLS resulted in 145 and 94 differentially expressed loci for AO capacity and GLS respectively. Differentially expressed loci between high and low AO watercress were significantly enriched for genes involved in plant defence and response to stimuli, in line with the observation that AO are involved in plant stress-response. Differential expression between the high and low GLS watercress identified links to GLS regulation and also novel transcripts warranting further investigation. Additionally, we successfully identified watercress orthologs for Arabidopsis phenylpropanoid, GLS and shikimate biosynthesis pathway genes, and compiled a catalogue of polymorphic markers for future applications.
conclusionsOur work describes the first transcriptome of watercress and establishes the foundation for further molecular study by providing valuable resources, including sequence data, annotated transcripts, candidate genes and markers.
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