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Drought stress effects on gene expression and metabolite profiles in blackcurrant (Ribes nigrum L.)

This ARC represents the data described in the following publication:

Ziegler et al. 2024 Hort Res. https://doi.org/10.1093/hr/uhae313

Abstract

The blackcurrant (Ribes nigrum L., family Grossulariaceae) is a perennial shrub valued for its antioxidant-rich berries, widely used in the food and beverage industry. However, prolonged drought during the fruiting season leads to drought stress, inhibiting growth and reducing yields. To explore the underlying molecular mechanisms, we present the first high-quality chromosome-scale genome assembly for blackcurrant (cv. Rosenthals Langtraubige), the first in the Grossulariaceae family. Using this genomic reference, we analyzed the transcriptomic response of blackcurrant leaves and roots to drought stress, identifying key differentially expressed genes and significant changes in primary metabolites, such as increased proline and depleted organic acids under stress. This data can aid in developing drought-resistant blackcurrant cultivars.

Table of contents

Studies

The Studies folder contains all plant growth experiments that were performed to obtain samples for genome sequencing, RNA-Seq experiments, and metabolite analysis.

Ribes nigrum genome

Drought stress experiment 1

Drought stress experiment 2

Assays

The Assays folder contains all experiments that were performed to generate sequencing data (DNA and RNA) as well as metabolite data that were further analyzed. The results of the subsequent analysis can be found in the Runs folder.

Genome Sequencing

RNASeq (Drought)

Metabolite measurement

Runs

Results of the genome sequencing and transcriptome analysis.

Ribes nigrum genome annotation

Ribes nigrum transcriptome

Supplemental Material

Supplemental Material

A full genome assembly reveals drought stress effects on gene expression and metabolite profiles in blackcurrant (Ribes nigrum L.)

Description

Blackcurrant (Ribes nigrum L.) is valued for its nutrient-rich berries, yet drought stress during fruiting can hinder growth and reduce yields. We present the first high-quality chromosome-scale genome assembly for blackcurrant, analyzing the transcriptomic response of leaves and roots to drought. This analysis revealed key drought-responsive genes and metabolic shifts, including increased proline and decreased organic acids. Our findings offer a genomic foundation to support breeding of drought-resistant blackcurrant varieties.

Table of Contents

  1. Studies

  2. Assays

Relationships between Assays and Studies

---
title: Ribes_nigrum_genome
---
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    classDef investigationStyle fill:#6c7885,color:#2d3e50,fontWeight:bold;
    classDef studyStyle fill:#62d4c1,color:#2d3e50,fontWeight:bold;
    classDef assayStyle fill:#ffd34d,color:#2d3e50,fontWeight:bold;
    classDef processStyle fill:#D46275,color:#2d3e50;
    id_0["A full genome assembly reveals drought stress effects on gene expression and metabolite profiles in blackcurrant (Ribes nigrum L.)"]
    class id_0 investigationStyle;
    id_0-->STUDY_id_1
    class STUDY_id_1 studyStyle;
    subgraph STUDY_id_1[Study: Ribes nigrum Drought Experiment 1]
        id_2[Plant growth]
        class id_2 processStyle;
    end
    id_0-->STUDY_id_3
    class STUDY_id_3 studyStyle;
    subgraph STUDY_id_3[Study: Ribes nigrum Drought Experiment 2]
        id_4[plant_growth]
        class id_4 processStyle;
    end
    id_0-->STUDY_id_0
    class STUDY_id_0 studyStyle;
    subgraph STUDY_id_0[Study: Ribes nigrum Genome]
        id_2[Plant growth]
        class id_2 processStyle;
    end
    subgraph ASSAY_id_5[Assay: RNASeq_drought]
        id_6[RNASeq]
        class id_6 processStyle;
    end
    class ASSAY_id_5 assayStyle;
    subgraph ASSAY_id_7[Assay: Ribes_nigrum_genome_sequencing]
        id_8[DNA_library_and_sequencing]
        class id_8 processStyle;
    end
    class ASSAY_id_7 assayStyle;
    subgraph ASSAY_id_9[Assay: Metabolite_measurement]
        id_10[metabolite_analysis]
        class id_10 processStyle;
    end
    class ASSAY_id_9 assayStyle;
    subgraph ASSAY_id_11[Assay: qRT-PCR]
        id_12[qRTPCR]
        class id_12 processStyle;
    end
    class ASSAY_id_11 assayStyle;
    id_2-->|12|id_6
    id_2-->|12|id_10
    id_2-->|12|id_12
    id_4-->|6|id_6
    id_4-->|6|id_10
    id_4-->|6|id_12
    id_13-->|1|id_8

Additional details

Meta Data Description
Submission Date tba
Public Release Date tba
Study identifiers Ribes_nigrum_drought_exp1 , Ribes_nigrum_drought_exp2 , Ribes_nigrum_genome
Study Count 3
Assay identifiers RNASeq_drought , Ribes_nigrum_genome_sequencing , Metabolite_measurement , qRT-PCR
Assay Count 4

Contacts

Names Email Address Affiliation ORCID
Freya Maria Rosemarie Ziegler f.ziegler@fz-juelich.de Wilhelm-Johnen-Straße, D-52425 Jülich, Germany; Universitätsstr. 1, D-40225 Düsseldorf, Germany; Universitätsstr. 1, D-40225 Düsseldorf, Germany CEPLAS, Institute of Bio- and Geosciences (IBG-4: Bioinformatics) & Bioeconomy Science Center (BioSC), Forschungszentrum Jülich; Faculty of Mathematics and Natural Sciences, CEPLAS, Institute for Biological Data Science, Heinrich Heine University Düsseldorf; Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University Düsseldorf
Vivien Rosenthal viros101@uni-duesseldorf.de Universitätsstr. 1, D-40225 Düsseldorf, Germany; Universitätsstr. 1, D-40225 Düsseldorf, Germany Faculty of Mathematics and Natural Sciences, CEPLAS, Institute for Biological Data Science, Heinrich Heine University Düsseldorf; Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University Düsseldorf
José G. Vallarino vallarino@uma.es 9010 Málaga, Spain Departamento de Biología Molecular y Bioquímica, Campus de Teatinos, Instituto de Hortofruticultura Subtropical y Mediterránea ‘La Mayora’, Universidad de Málaga-Consejo Superior de Investigaciones Científicas 0000-0002-0374-8706
Franziska Genzel f.genzel@fz-juelich.de Wilhelm-Johnen-Straße, D-52425 Jülich, Germany CEPLAS, Institute of Bio- and Geosciences (IBG-4: Bioinformatics) & Bioeconomy Science Center (BioSC), Forschungszentrum Jülich 0000-0003-2217-8136
Sarah Spettmann s.spettmann@fz-juelich.de Wilhelm-Johnen-Straße, D-52425 Jülich, Germany CEPLAS, Institute of Bio- and Geosciences (IBG-4: Bioinformatics) & Bioeconomy Science Center (BioSC), Forschungszentrum Jülich
Łukasz Seliga lukasz.seliga@inhort.pl Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland Department of Plant Crop breeding, INHORT, National Institute of Horticultural Research 0000-0002-1687-5499
Sylwia Keller-Przybyłkowicz sylwia.keller@inhort.pl Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland Department of Plant Crop breeding, INHORT, National Institute of Horticultural Research 0000-0002-3473-9706
Lucas Munnes lucas.munnes@hhu.de Universitätsstr. 1, D-40225 Düsseldorf, Germany Faculty of Mathematics and Natural Sciences, CEPLAS, Institute for Biological Data Science, Heinrich Heine University Düsseldorf
Anita Sønsteby anita.sonsteby@nibio.no Pb. 115, NO-1431 Ås, Norway NIBIO, Norwegian Institute of Bioeconomy Research, Division of Food Production and Society Horticulture 0000-0002-2705-9091
Sonia Osorio sosorio@uma.es 9010 Málaga, Spain Departamento de Biología Molecular y Bioquímica, Campus de Teatinos, Instituto de Hortofruticultura Subtropical y Mediterránea ‘La Mayora’, Universidad de Málaga-Consejo Superior de Investigaciones Científicas 0000-0002-0159-6091
Björn Usadel b.usadel@fz-juelich.de Wilhelm-Johnen-Straße, D-52425 Jülich, Germany; Universitätsstr. 1, D-40225 Düsseldorf, Germany; Universitätsstr. 1, D-40225 Düsseldorf, Germany CEPLAS, Institute of Bio- and Geosciences (IBG-4: Bioinformatics) & Bioeconomy Science Center (BioSC), Forschungszentrum Jülich; Faculty of Mathematics and Natural Sciences, CEPLAS, Institute for Biological Data, Heinrich Heine University Düsseldorf; ScienceCluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University Düsseldorf; 0000-0003-0921-8041

Study: Ribes_nigrum_drought_exp1

Description

To investigate the physiological and molecular response of blackcurrant leaves and roots to drought stress in mature plants, irrigation was withheld for a period of 4 days. This experimental setup aimed to simulate moderate drought conditions and enable the assessment of changes in plant behavior, including water-use efficiency, photosynthetic activity, and stress-related gene expression. By examining both aboveground (leaves) and belowground (roots) tissues, the study provides a comprehensive understanding of the plant's adaptive mechanisms to water scarcity.

Additional details

Meta Data Description
Table Count 1
Table Names Plant growth
Sample Count 12
Data File Count 0
Associated assays RNASeq_drought , Metabolite_measurement , qRT-PCR
Biological replicates 0

Annotation headers

Characteristics: organism,plant structure development stage,geographic area,plant structure

Parameters: isolation and growth condition,Container volume,plant growth medium exposure

Factors: watering exposure,Experiment End Date

Study: Ribes_nigrum_drought_exp2

Description

To validate the response of blackcurrant plants to drought stress, irrigation was withheld for a period of 9 days. Drought stressed plants were compared to plants with continuous irrigation. Leaves were sampled for expression and metabolite analysis.

Additional details

Meta Data Description
Table Count 1
Table Names plant_growth
Sample Count 6
Data File Count 0
Associated assays RNASeq_drought , Metabolite_measurement , qRT-PCR
Biological replicates 0

Annotation headers

Characteristics: organism,plant structure development stage,geographic area,plant structure

Parameters: Container volume,watering exposure

Factors: isolation and growth condition

Study: Ribes_nigrum_genome

Description

The German cultivar Rosenthals Langtraubige was chosen for genomic analysis due to its vigorous, spreading growth habit and medium-sized, early-maturing berries with high vitamin C content. For the sequencing, we employed a combination of PacBio HiFi and Oxford Nanopore Technologies (ONT), integrating the Pore-C method for advanced chromosome conformation capture.

Additional details

Meta Data Description
Table Count 1
Table Names Plant growth
Sample Count 1
Data File Count 0
Associated assays Ribes_nigrum_genome_sequencing
Biological replicates 0

Annotation headers

Characteristics: organism,plant structure development stage,geographic area,plant structure

Assay: RNASeq_drought

Additional details

Meta Data Description
Measurement Type Gene Expression Analysis
Technology Type RNA-Seq
Table Count 1
Table Names RNASeq
Sample Count 18
Data File Count 18
Associated studies Ribes_nigrum_drought_exp1 , Ribes_nigrum_drought_exp2

Annotation headers

Characteristics: Sequencing Library Source Indicator

Parameters: total RNA extraction,Library selection,library strategy

Assay: Ribes_nigrum_genome_sequencing

Additional details

Meta Data Description
Measurement Type Whole Genome Sequencing
Table Count 1
Table Names DNA_library_and_sequencing
Sample Count 3
Data File Count 3
Associated studies Ribes_nigrum_genome

Annotation headers

Characteristics: Sequencing Library Source Indicator

Parameters: Library selection,library strategy,library layout

Assay: Metabolite_measurement

Additional details

Meta Data Description
Measurement Type metabolite measurement
Technology Type Gas Chromatography Mass Spectrometry
Table Count 1
Table Names metabolite_analysis
Sample Count 18
Data File Count 18
Associated studies Ribes_nigrum_drought_exp1 , Ribes_nigrum_drought_exp2

Annotation headers

Parameters: technology type,data transformation

Assay: qRT-PCR

Additional details

Meta Data Description
Measurement Type gene expression measurement
Technology Type Real Time PCR
Table Count 1
Table Names qRTPCR
Sample Count 18
Data File Count 18
Associated studies Ribes_nigrum_drought_exp1 , Ribes_nigrum_drought_exp2

Annotation headers

Parameters: technical replicate