JA Shakes Hands with ABA to Delay Seed Germination

Varshney, Vishal; Majee, Manoj

doi:10.1016/j.tplants.2021.05.002

Cited by 31 publications

(10 citation statements)

References 12 publications

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“…In addition to external stress-related factors, internal phytohormones also play an indispensable role in seed germination. As an important regulatory factor of plant growth, ABA can promote seed dormancy, inhibit seed germination, inhibit seedling root growth, promote leaf senescence, and participate in a variety of metabolic synthesis pathways and signal transduction pathways (Breeze, 2020;Varshney and Majee, 2021;Ali et al, 2022;Mphande et al, 2022). GA and ABA play opposite roles in seed germination.…”

Section: Ateno2 Affects Phytohormone-related Genes and Corresponding ...mentioning

confidence: 99%

Integrative transcriptomic and TMT-based proteomic analysis reveals the mechanism by which AtENO2 affects seed germination under salt stress

Liu

Jie

et al. 2022

Front. Plant Sci.

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Seed germination is critical for plant survival and agricultural production and is affected by many cues, including internal factors and external environmental conditions. As a key enzyme in glycolysis, enolase 2 (ENO2) also plays a vital role in plant growth and abiotic stress responses. In our research, we found that the seed germination rate was lower in the AtENO2 mutation (eno2-) than in the wild type (WT) under salt stress in Arabidopsis thaliana, while there was no significant difference under normal conditions. However, the mechanisms by which AtENO2 regulates seed germination under salt stress remain limited. In the current study, transcriptome and proteome analyses were used to compare eno2- and the WT under normal and salt stress conditions at the germination stage. There were 417 and 4442 differentially expressed genes (DEGs) identified by transcriptome, and 302 and 1929 differentially expressed proteins (DEPs) qualified by proteome under normal and salt stress conditions, respectively. The combined analysis found abundant DEGs and DEPs related to stresses and hydrogen peroxide removal were highly down-regulated in eno2-. In addition, several DEGs and DEPs encoding phytohormone transduction pathways were identified, and the DEGs and DEPs related to ABA signaling were relatively greatly up-regulated in eno2-. Moreover, we constructed an interactive network and further identified GAPA1 and GAPB that could interact with AtENO2, which may explain the function of AtENO2 under salt stress during seed germination. Together, our results reveal that under salt stress, AtENO2 mainly affects the expression of genes and proteins related to the phytohormone signal transduction pathways, stress response factors, and reactive oxygen species (ROS), and then affects seed germination. Our study lays the foundation for further exploration of the molecular function of AtENO2 under salt stress at the seed germination stage in Arabidopsis thaliana.

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Section: Ateno2 Affects Phytohormone-related Genes and Corresponding ...mentioning

confidence: 99%

Integrative transcriptomic and TMT-based proteomic analysis reveals the mechanism by which AtENO2 affects seed germination under salt stress

Liu

Jie

et al. 2022

Front. Plant Sci.

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“…ABA-binding receptors REGULATORY COMPONENT OF ABSCISIC ACID RECEPTOR (RCAR)/PYRABACTIN RESISTANCE (PYR)/PYR1-LIKE (PYL) interact with PROTEIN PHOSPHATASE 2C (PP2C) and cause the formation of the ABA-RCAR/PYL/PYR-PP2C complex (Cutler et al 2010), which helps the release of SNF1-related kinases 2 (SnRK2s) to phosphorylate the downstream transcription factors ABSCISIC ACID INSENSITIVE 3 (ABI3), ABI4, and ABI5 leading to activated ABA responses (Varshney et al 2021;Hu et al 2019;Feng et al 2014). When GA is present in large quantities, GA binds to the response factor GID1 to form a complex, which promotes the ubiquitination and degradation of DELLA protein mediated by the F-box ubiquitin ligase SLEEPY1, which promotes the accumulation of GA and seed germination (McGinnis et al 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, mutants insensitive to ethylene are more sensitive to ABA, and lead to enhanced dormancy in Arabidopsis (Corbineau et al 2014). JA coordinate with ABA to delay seed germination (Varshney et al 2021). CK promotes seed germination by promoting GA-induced alpha-amylase activity in wheat (Eastwood et al 1969).…”

Section: Introductionmentioning

confidence: 99%

Transcriptome analysis of knockout mutants of rice seed dormancy gene OsVP1 and Sdr4

Chen

Liu

et al. 2022

Plant Cell Rep

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Seed dormancy and germination are critical agricultural traits influencing rice grain yield. Although there are some genes have previously identified, the comprehensive understanding on large-scale transcriptome is deficient. In this study, we generated mutants of two representative regulators of seed germination, Oryza sativa Viviparous1 (OsVP1) and Seed dormancy 4 (Sdr4), by CRISPR/Cas9 approach and named them cr-osvp1 and cr-sdr4. The weakened dormancy of mutants indicated that the functions of OsVP1 and Sdr4 are required for normal early seed dormancy. In the transcriptome sequencing analysis, 4157 and 8285 DEGs were identified in cr-osvp1 vs. NIP and cr-sdr4 vs. NIP groups, respectively, with a large number of overlapped DEGs that have similar expression patterns in two groups.The GO and KEGG enrichments showed that genes related to carbohydrate metabolic, nucleoside metabolic, amylase activity and plant hormone signal transduction were involved in the dormancy regulation. These results indicated that OsVP1 and Sdr4 play an important role in regulating seed dormancy that involved in multiple metabolism and regulatory pathways. The systematic analysis of the transcriptional level changes provides theoretical basis for the research of seed dormancy and germination in rice.

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“…Integration of genomics tools for improving the efficiency of plant breeding has been referred to as genomics-assisted breeding (GAB, Varshney et al 2005 , 2021 ). The GAB approaches including marker-assisted backcrossing (MABC), marker-assisted recurrent selection (MARS), and genomic selection (GS) have been in use in breeding programs (Varshney et al 2021 ). MABC is the standard technique to introgress a few loci or major QTLs for improving elite varieties.…”

Section: Introductionmentioning

confidence: 99%

“…Once useful genetic variation is identified or created for breeding traits, GAB approaches can be used to deploy them in crop improvement (Varshney et al 2021 ). The forward breeding (FB) approach is the best solution when early generation selection has to be done for ‘must-have traits.’ In this approach, DNA markers associated with the trait of interest can be assayed in the early segregating populations.…”

Section: Introductionmentioning

confidence: 99%

Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits

et al. 2021

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Key message Integrating genomics technologies and breeding methods to tweak core parameters of the breeder’s equation could accelerate delivery of climate-resilient and nutrient rich crops for future food security. Abstract Accelerating genetic gain in crop improvement programs with respect to climate resilience and nutrition traits, and the realization of the improved gain in farmers’ fields require integration of several approaches. This article focuses on innovative approaches to address core components of the breeder’s equation. A prerequisite to enhancing genetic variance (σ2g) is the identification or creation of favorable alleles/haplotypes and their deployment for improving key traits. Novel alleles for new and existing target traits need to be accessed and added to the breeding population while maintaining genetic diversity. Selection intensity (i) in the breeding program can be improved by testing a larger population size, enabled by the statistical designs with minimal replications and high-throughput phenotyping. Selection priorities and criteria to select appropriate portion of the population too assume an important role. The most important component of breeder′s equation is heritability (h2). Heritability estimates depend on several factors including the size and the type of population and the statistical methods. The present article starts with a brief discussion on the potential ways to enhance σ2g in the population. We highlight statistical methods and experimental designs that could improve trait heritability estimation. We also offer a perspective on reducing the breeding cycle time (t), which could be achieved through the selection of appropriate parents, optimizing the breeding scheme, rapid fixation of target alleles, and combining speed breeding with breeding programs to optimize trials for release. Finally, we summarize knowledge from multiple disciplines for enhancing genetic gains for climate resilience and nutritional traits.

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JA Shakes Hands with ABA to Delay Seed Germination

Cited by 31 publications

References 12 publications

Integrative transcriptomic and TMT-based proteomic analysis reveals the mechanism by which AtENO2 affects seed germination under salt stress

Integrative transcriptomic and TMT-based proteomic analysis reveals the mechanism by which AtENO2 affects seed germination under salt stress

Transcriptome analysis of knockout mutants of rice seed dormancy gene OsVP1 and Sdr4

Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits

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