scholarly journals Comparative Expression Analysis of Stress-Inducible Candidate Genes in Response to Cold and Drought in Tea Plant [Camellia sinensis (L.) Kuntze]

2020 ◽  
Vol 11 ◽  
Author(s):  
Lidiia S. Samarina ◽  
Alexandr V. Bobrovskikh ◽  
Alexey V. Doroshkov ◽  
Lyudmila S. Malyukova ◽  
Alexandra O. Matskiv ◽  
...  
Keyword(s):  
Candidate Genes ◽  
Gene Network ◽  
Tea Plant ◽  
Recovery Stage ◽  
Comparative Expression Analysis ◽  
Global Spread ◽  
Gene Network Analysis ◽  
Tea Plants ◽  
Genetic Responses ◽  
Functional Analyses

Cold and drought are two of the most severe threats affecting the growth and productivity of the tea plant, limiting its global spread. Both stresses cause osmotic changes in the cells of the tea plant by decreasing their water potential. To develop cultivars that are tolerant to both stresses, it is essential to understand the genetic responses of tea plant to these two stresses, particularly in terms of the genes involved. In this study, we combined literature data with interspecific transcriptomic analyses (using Arabidopsis thaliana and Solanum lycopersicum) to choose genes related to cold tolerance. We identified 45 stress-inducible candidate genes associated with cold and drought responses in tea plants based on a comprehensive homologous detection method. Of these, nine were newly characterized by us, and 36 had previously been reported. The gene network analysis revealed upregulated expression in ICE1-related cluster of bHLH factors, HSP70/BAM5 connected genes (hexokinases, galactinol synthases, SnRK complex, etc.) indicating their possible co-expression. Using qRT-PCR we revealed that 10 genes were significantly upregulated in response to both cold and drought in tea plant: HSP70, GST, SUS1, DHN1, BMY5, bHLH102, GR-RBP3, ICE1, GOLS1, and GOLS3. SnRK1.2, HXK1/2, bHLH7/43/79/93 were specifically upregulated in cold, while RHL41, CAU1, Hydrolase22 were specifically upregulated in drought. Interestingly, the expression of CIP was higher in the recovery stage of both stresses, indicating its potentially important role in plant recovery after stress. In addition, some genes, such as DHN3, bHLH79, PEI54, SnRK1.2, SnRK1.3, and Hydrolase22, were significantly positively correlated between the cold and drought responses. CBF1, GOLS1, HXK2, and HXK3, by contrast, showed significantly negative correlations between the cold and drought responses. Our results provide valuable information and robust candidate genes for future functional analyses intended to improve the stress tolerance of the tea plant and other species.

scholarly journals Functional Analyses of Flavonol Synthase Genes From Camellia sinensis Reveal Their Roles in Anther Development

2021 ◽  
Vol 12 ◽  
Author(s):  
Yufeng Shi ◽  
Xiaolan Jiang ◽  
Linbo Chen ◽  
Wei-Wei Li ◽  
Sanyan Lai ◽  
...  
Keyword(s):  
Phenolic Compounds ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Reproductive Organs ◽  
Tea Plant ◽  
Functional Verification ◽  
Metabolic Characteristics ◽  
Metabolic Properties ◽  
Tea Plants ◽  
Functional Analyses

Flavonoids, including flavonol derivatives, are the main astringent compounds of tea and are beneficial to human health. Many researches have been conducted to comprehensively identify and characterize the phenolic compounds in the tea plant. However, the biological function of tea flavonoids is not yet understood, especially those accumulated in floral organs. In this study, the metabolic characteristics of phenolic compounds in different developmental stages of flower buds and various parts of the tea flower were investigated by using metabolomic and transcriptomic analyses. Targeted metabolomic analysis revealed varying accumulation patterns of different phenolic polyphenol compounds during flowering; moreover, the content of flavonol compounds gradually increased as the flowers opened. Petals and stamens were the main sites of flavone and flavonol accumulation. Compared with those of fertile flowers, the content of certain flavonols, such as kaempferol derivatives, in anthers of hybrid sterile flowers was significantly low. Transcriptomic analysis revealed different expression patterns of genes in the same gene family in tea flowers. The CsFLSb gene was significantly increased during flowering and was highly expressed in anthers. Compared with fertile flowers, CsFLSb was significantly downregulated in sterile flowers. Further functional verification of the three CsFLS genes indicated that CsFLSb caused an increase in flavonol content in transgenic tobacco flowers and that CsFLSa acted in leaves. Taken together, this study highlighted the metabolic properties of phenolic compounds in tea flowers and determined how the three CsFLS genes have different functions in the vegetative and reproductive organs of tea plants. Furthermore, CsFLSb could regulated flavonol biosynthesis in tea flowers, thus influencing fertility. This research is of great significance for balancing the reproductive growth and vegetative growth of tea plants.

scholarly journals Weighted single-step GWAS and gene network analysis reveal new candidate genes for semen traits in pigs

2018 ◽  
Vol 50 (1) ◽  
Author(s):  
Daniele B. D. Marques ◽  
John W. M. Bastiaansen ◽  
Marleen L. W. J. Broekhuijse ◽  
Marcos S. Lopes ◽  
Egbert F. Knol ◽  
...  
Keyword(s):  
Network Analysis ◽  
Candidate Genes ◽  
Gene Network ◽  
Single Step ◽  
Gene Network Analysis

scholarly journals Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Litang Lu ◽  
Hufang Chen ◽  
Xiaojing Wang ◽  
Yichen Zhao ◽  
Xinzhuan Yao ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Candidate Genes ◽  
Agronomic Traits ◽  
Association Studies ◽  
Functional Characterization ◽  
Principal Component ◽  
Tea Plant ◽  
Guizhou Province ◽  
Genome Wide Association Studies ◽  
Tea Plants

AbstractThe ancient tea plant, as a precious natural resource and source of tea plant genetic diversity, is of great value for studying the evolutionary mechanism, diversification, and domestication of plants. The overall genetic diversity among ancient tea plants and the genetic changes that occurred during natural selection remain poorly understood. Here, we report the genome resequencing of eight different groups consisting of 120 ancient tea plants: six groups from Guizhou Province and two groups from Yunnan Province. Based on the 8,082,370 identified high-quality SNPs, we constructed phylogenetic relationships, assessed population structure, and performed genome-wide association studies (GWAS). Our phylogenetic analysis showed that the 120 ancient tea plants were mainly clustered into three groups and five single branches, which is consistent with the results of principal component analysis (PCA). Ancient tea plants were further divided into seven subpopulations based on genetic structure analysis. Moreover, it was found that the variation in ancient tea plants was not reduced by pressure from the external natural environment or artificial breeding (nonsynonymous/synonymous = 1.05). By integrating GWAS, selection signals, and gene function prediction, four candidate genes were significantly associated with three leaf traits, and two candidate genes were significantly associated with plant type. These candidate genes can be used for further functional characterization and genetic improvement of tea plants.

scholarly journals Genome-wide association study and gene network analyses reveal potential candidate genes for high night temperature tolerance in rice

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Raju Bheemanahalli ◽  
Montana Knight ◽  
Cherryl Quinones ◽  
Colleen J. Doherty ◽  
S. V. Krishna Jagadish
Keyword(s):  
Grain Size ◽  
Candidate Genes ◽  
Gene Network ◽  
Genome Wide Association ◽  
Potential Candidate ◽  
Genetic Loci ◽  
Stay Green ◽  
Yield And Quality ◽  
Genome Wide ◽  
Wide Range

AbstractHigh night temperatures (HNT) are shown to significantly reduce rice (Oryza sativa L.) yield and quality. A better understanding of the genetic architecture of HNT tolerance will help rice breeders to develop varieties adapted to future warmer climates. In this study, a diverse indica rice panel displayed a wide range of phenotypic variability in yield and quality traits under control night (24 °C) and higher night (29 °C) temperatures. Genome-wide association analysis revealed 38 genetic loci associated across treatments (18 for control and 20 for HNT). Nineteen loci were detected with the relative changes in the traits between control and HNT. Positive phenotypic correlations and co-located genetic loci with previously cloned grain size genes revealed common genetic regulation between control and HNT, particularly grain size. Network-based predictive models prioritized 20 causal genes at the genetic loci based on known gene/s expression under HNT in rice. Our study provides important insights for future candidate gene validation and molecular marker development to enhance HNT tolerance in rice. Integrated physiological, genomic, and gene network-informed approaches indicate that the candidate genes for stay-green trait may be relevant to minimizing HNT-induced yield and quality losses during grain filling in rice by optimizing source-sink relationships.

Sign in / Sign up

Export Citation Format

Share Document