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PPD-H1Improves Stress Resistance and Energy Metabolism to Boost Spike Fertility under High Ambient Temperatures

Description

High ambient temperature (HT) impairs reproductive development and grain yield in temperate crops. To ensure reproductive success under HT, plants must maintain developmental stability. However, the mechanisms integrating plant development and temperature resilience are largely unknown. Here, we demonstrate that PHOTOPERIOD 1 (PPD-H1), homologous to PSEUDO RESPONSE REGULATOR genes of the Arabidopsis circadian clock, controls developmental stability in response to HT in barley. We analyzed HT responses in independent introgression lines with either the ancestral wild-type Ppd-H1 allele or the natural ppd-h1 variant, selected in spring varieties to delay flowering and enhance yield under favourable conditions. HT delayed inflorescence development and reduced grain number in ppd-h1 mutant lines, while the wild-type Ppd-H1 genotypes accelerated reproductive development and showed a stable grain set under HT. Using a CRISPR/Cas9-induced ppd-h1 mutant, we confirmed that the CCT domain of Ppd-H1 controls developmental stability, but not clock gene expression. Transcriptome and phytohormone analyses in developing leaves and inflorescences revealed increased stress gene expression and abscisic acid levels in the leaf and inflorescence of the natural and induced mutant ppd-h1 lines. Furthermore, the mutant ppd-h1 lines downregulated photosynthesis-and energy metabolism-related genes, and reduced auxin and cytokinin levels in the inflorescence, which impaired anther and pollen development. By contrast, in the wild-type Ppd-H1 plants, the transcriptome and phytohormone levels and anther and pollen development remained stable under HT. Our findings suggest that Ppd-H1 enhances stress resistance and energy metabolism, thereby stabilizing reproductive development, floret fertility and grain set under HT.

Table of Contents

  1. Studies

  2. Assays

Relationships between Assays and Studies

---
title: Effects_of_Ppd-H1_and_High_Ambient_Temperatures_in_Barley
---

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    id_0["PPD-H1Improves Stress Resistance and Energy Metabolism to Boost Spike Fertility under High Ambient Temperatures"]
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    class STUDY_id_1 studyStyle;
    subgraph STUDY_id_1[Study: plant-samples]
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    subgraph ASSAY_id_3[Assay: Salmon_quantification]
        id_4[salmon]
        class id_4 processStyle;
    end
    class ASSAY_id_3 assayStyle;
    subgraph ASSAY_id_5[Assay: RNAseq_analysis_of_MSA]
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    class ASSAY_id_5 assayStyle;
    subgraph ASSAY_id_6[Assay: RNAseq_raw_data]
        id_7[illumina]
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    end
    class ASSAY_id_6 assayStyle;
    subgraph ASSAY_id_8[Assay: RNAseq_analysis_of_leaf]
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    class ASSAY_id_8 assayStyle;
    subgraph ASSAY_id_9[Assay: FASTQC]
        id_4[salmon]
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    end
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    id_7-->|382|id_4

Additional details

Meta Data Description
Submission Date tba
Public Release Date tba
Study identifiers plant-samples
Study Count 1
Assay identifiers Salmon_quantification , RNAseq_analysis_of_MSA , RNAseq_raw_data , RNAseq_analysis_of_leaf , FASTQC
Assay Count 5

Contacts

Names Email Address Affiliation ORCID
Tianyu Lan tianyu.lan@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Agatha Walla Walla@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany
Kumsal Ecem Çolpan Karışan kumsal.colpan@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany
Gabriele Buchmann gabriele.buchmann@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Vera Wewer vwewer@uni-koeln.de CEPLAS Plant Metabolism and Metabolomics Facility, Institute for Plant Sciences, University of Cologne, 50674 Cologne, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany
Sabine Metzger s.metzgar@uni-koeln.de CEPLAS Plant Metabolism and Metabolomics Facility, Institute for Plant Sciences, University of Cologne, 50674 Cologne, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany
Isaia Vardanega isaia.vardanega@hhu.de Institute of Developmental Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Einar Baldvin Haraldsson einar.haraldsson@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Gesa Helmsorig gesa.helmsorig@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Venkatasubbu Thirulogachandar thirulogachandar.venkatasubbu@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany
Rüdiger Simon ruediger.simon@hhu.de Institute of Developmental Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany
Maria von Korff maria.korff.schmissing@hhu.de Institute of Plant Genetics, Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany; Cluster of Excellence on Plant Sciences “SMART Plants for Tomorrow’s Needs”, 40225 Düsseldorf, Germany

Study: plant-samples

Description

tba

Additional details

Meta Data Description
Table Count 1
Table Names plant-characteristics
Sample Count 188
Data File Count 0
Associated assays RNAseq_raw_data
Biological replicates 0

Annotation headers

Characteristics: organism,genotype,biological replicate,plant structure

Factors: temperature treatment,waddington stage

Assay: Salmon_quantification

Additional details

Meta Data Description
Table Count 1
Table Names NewTable0
Sample Count 388
Data File Count 388
Associated studies

Annotation headers

Assay: RNAseq_raw_data

Additional details

Meta Data Description
Measurement Type RNA-Seq
Technology Type Illumina NovaSeq 6000
Table Count 1
Table Names illumina
Sample Count 388
Data File Count 388
Associated studies plant-samples

Annotation headers

Parameters: library strategy,library preparation kit,library preparation kit version,adapter sequence,next generation sequencing instrument model,base-calling software,base-calling software version,base-calling software parameters,Raw data file format

Assay: FASTQC

Additional details

Meta Data Description
Technology Type FASTQC
Table Count 1
Table Names NewTable0
Sample Count 840
Data File Count 0
Associated studies

Annotation headers

Characteristics: Format