Identification of novel QTL for black tea quality traits and drought tolerance in tea plants (Camellia sinensis)

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Robert K. Koech ◽  
Pelly M. Malebe ◽  
Christopher Nyarukowa ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Camellia Sinensis ◽  
Black Tea ◽  
Quality Traits ◽  
Tea Quality ◽  
Tea Plants

scholarly journals UPLC-MS based metabolomics analysis reveals metabolite compositional differences between Kenyan Commercial and NonCommercial black tea (Camellia sinensis L.) cultivars.

2021 ◽  
Author(s):  
Christopher Nyarukowa
Keyword(s):  
Drought Tolerance ◽  
Camellia Sinensis ◽  
Antioxidant Properties ◽  
Epigallocatechin Gallate ◽  
Black Tea ◽  
Global Supply Chains ◽  
Tea Quality ◽  
Production And Consumption ◽  
Health Promoting ◽  
Tea Production

Camellia sinensis (L.) O. Kuntze (tea) is one of the most widely consumed beverages across the world, serving as an essential commodity crop for several developing countries. A bulk of tea’s health-promoting properties are attributed to the antioxidant properties of EGCg, its predominant polyphenol. As a result of these health benefits, tea production and consumption has expanded and promoted the development of tea industries globally. Tea cultivation is dependent on a good distribution of rainfall, and the current changes in climate pose a significant threat to its global supply chains. Through the efforts of the International Centre for Tropical Agriculture (CIAT), predictions of future climate changes in the tea growing regions of Kenya between now and 2050 have been generated. A study was conducted to develop models to identify key tea growing regions that will remain ideal for tea farming and also investigate the metabolomic differences between 243 drought susceptible NonCommercial (NComm) and 60 Commercial (Comm) cultivars. Non-targeted, high-resolution UPLC-MS was used to attain a new profound understanding of the metabolomic multiplicity between the Comm and NComm groups and to elucidate their association with tea liquor quality and drought tolerance. Several metabolites, namely argininosuccinate, caffeic acid, caffeine, catechin, citric acid, epicatechin, epigallocatechin gallate, gallic acid, gluconic acid, glucose, maltose, quercetin and theanine were found to clearly differentiate between the Comm and NComm cultivars. These detected metabolites were linked to improved tea quality and drought tolerance in the Comm cultivars.

Genome‐enabled prediction models for black tea ( Camellia sinensis ) quality and drought tolerance traits

2020 ◽  
Vol 139 (5) ◽  
pp. 1003-1015
Author(s):  
Robert K. Koech ◽  
Pelly M. Malebe ◽  
Christopher Nyarukowa ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Camellia Sinensis ◽  
Prediction Models ◽  
Black Tea

scholarly journals Combined linkage and association mapping of putative QTLs controlling black tea quality and drought tolerance traits

Euphytica ◽  
2019 ◽  
Vol 215 (10) ◽  
Author(s):  
Robert. K. Koech ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
Zeno Apostolides
Keyword(s):  
Drought Tolerance ◽  
Association Mapping ◽  
Black Tea ◽  
Putative Qtls ◽  
Tea Quality

scholarly journals Combined linkage and association mapping of putative QTLs controlling black tea quality and drought tolerance traits

2018 ◽  
Author(s):  
Robert. K. Koech ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
Zeno Apostolides
Keyword(s):  
Association Mapping ◽  
Carbon Fixation ◽  
Black Tea ◽  
Interval Mapping ◽  
Phenotypic Traits ◽  
Phenotypic Variance ◽  
Quality Traits ◽  
Putative Qtls ◽  
Tea Quality ◽  
Population Structure Analysis

AbstractThe advancements in genotyping have opened new approaches for identification and precise mapping of Quantitative Trait Loci (QTLs) in plants, particularly by combining linkage and association mapping (AM) analysis. In this study, a combination of linkage and the AM approach was used to identify and authenticate putative QTLs associated with black tea quality traits and percent relative water content (%RWC). The population structure analysis clustered two parents and their respective 261 F1 progenies from the two reciprocal crosses into two clusters with 141 tea accessions in cluster one and 122 tea accessions in cluster two. The two clusters were of mixed origin with tea accessions in population TRFK St. 504 clustering together with tea accessions in population TRFK St. 524. A total of 71 putative QTLs linked to black tea quality traits and %RWC were detected in interval mapping (IM) method and were used as cofactors in multiple QTL model (MQM) mapping where 46 putative QTLs were detected. The phenotypic variance for each QTL ranged from 2.8–23.3% in IM and 4.1–23% in MQM mapping. Using Q-model and Q+K-model in AM, a total of 49 DArTseq markers were associated with 16 phenotypic traits. Significant marker-trait association in AM were similar to those obtained in IM, and MQM mapping except for six more putative QTLs detected in AM which are involved in biosynthesis of secondary metabolites, carbon fixation and abiotic stress. The combined linkage and AM approach appears to have great potential to improve the selection of desirable traits in tea breeding.

scholarly journals Functional annotation of putative QTL associated with black tea quality and drought tolerance traits

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Robert. K. Koech ◽  
Pelly M. Malebe ◽  
Christopher Nyarukowa ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Functional Annotation ◽  
Black Tea ◽  
Tea Quality

scholarly journals The R2R3 Transcription Factor CsMYB59 Regulates Polyphenol Oxidase Gene CsPPO1 in Tea Plants (Camellia sinensis)

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiangxiang Huang ◽  
Shuqiong Ou ◽  
Qin Li ◽  
Yong Luo ◽  
Haiyan Lin ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Polyphenol Oxidase ◽  
Camellia Sinensis ◽  
Quantitative Polymerase Chain Reaction ◽  
Transcriptional Activator ◽  
Black Tea ◽  
Luciferase Assay ◽  
Myb Transcription Factor ◽  
Oxidase Gene ◽  
Tea Plants

Polyphenol oxidase (PPO) plays a role in stress response, secondary metabolism, and other physiological processes during plant growth and development, and is also a critical enzyme in black tea production. However, the regulatory mechanisms of PPO genes and their activity in tea plants are still unclear. In this study, we measured PPO activity in two different tea cultivars, Taoyuandaye (TYDY) and Bixiangzao (BXZ), which are commonly used to produce black tea and green tea, respectively. The expression pattern of CsPPO1 was assessed and validated via transcriptomics and quantitative polymerase chain reaction in both tea varieties. In addition, we isolated and identified an R2R3-MYB transcription factor CsMYB59 that may regulate CsPPO1 expression. CsMYB59 was found to be a nuclear protein, and its expression in tea leaves was positively correlated with CsPPO1 expression and PPO activity. Transcriptional activity analysis showed that CsMYB59 was a transcriptional activator, and the dual-luciferase assay indicated that CsMYB59 could activate the expression of CsPPO1 in tobacco leaves. In summary, our study demonstrates that CsMYB59 represents a transcriptional activator in tea plants and may mediate the regulation of PPO activity by activating CsPPO1 expression. These findings provide novel insights into the regulatory mechanism of PPO gene in Camellia sinensis, which might help to breed tea cultivars with high PPO activity.

scholarly journals Chemometrical analysis of Fourier Transform Infrared Spectrum profile of Indonesia’s black tea products (Camellia sinensis L.)

2019 ◽  
Vol 10 (1) ◽  
pp. 4721-4727
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Volatile Compounds ◽  
Camellia Sinensis ◽  
Principal Component ◽  
Ethanol Extract ◽  
Fourier Transform Infrared ◽  
Black Tea ◽  
Tea Quality ◽  
And Cluster Analysis

Black tea (Camellia sinensis L.) is one of the most popular beverage ingredients in Indonesia. Generally, tea quality assessment is done by tea taster using the organoleptic method with evaluation based on shape, color, aroma, and taste. In this research, an alternative method of testing black tea product quality with FTIR (Fourier Transform Infrared) was developed. The variability of chemical composition is an important factor that determines flavor (taste and aroma) and health benefits. The sample of black tea tested came from 12 products circulating in Indonesia. A chemometric analysis of Principal Component Analysis and Cluster Analysis was used to support the analysis of specific differences of each FTIR spectra of samples. The analysis results of water and ethanol extract showed that the two solvents extracted the different of the variety of metabolite contents. Analysis of volatile compounds was also performed which also showed that each sample contained the different volatile compounds; which then is predicted can be investigated further to determine the black tea’s quality.

scholarly journals Genomic and pedigree‐based predictive ability for quality traits in tea (Camellia sinensis (L.) O. Kuntze)

Euphytica ◽  
2021 ◽  
Vol 217 (3) ◽  
Author(s):  
Nelson Lubanga ◽  
Festo Massawe ◽  
Sean Mayes
Keyword(s):  
Population Size ◽  
Camellia Sinensis ◽  
Complex Traits ◽  
Reproducing Kernel ◽  
Prediction Models ◽  
Resonance Spectroscopy ◽  
Quality Traits ◽  
Training Population ◽  
Epicatechin Gallate ◽  
Tea Quality

AbstractGenetic improvement of quality traits in tea (Camellia sinensis (L.) O. Kuntze) through conventional breeding methods has been limited, because tea quality is a difficult and expensive trait to measure. Genomic selection (GS) is suitable for predicting such complex traits, as it uses genome wide markers to estimate the genetic values of individuals. We compared the prediction accuracies of six genomic prediction models including Bayesian ridge regression (BRR), genomic best linear unbiased prediction (GBLUP), BayesA, BayesB, BayesC and reproducing kernel Hilbert spaces models incorporating the pedigree relationship namely; RKHS-pedigree, RKHS-markers and RKHS markers and pedigree (RKHS-MP) to determine the breeding values for 12 tea quality traits. One hundred and three tea genotypes were genotyped using genotyping-by-sequencing and phenotyped using nuclear magnetic resonance spectroscopy in replicated trials. We also compared the effect of trait heritability and training population size on prediction accuracies. The traits with the highest prediction accuracies were; theogallin (0.59), epicatechin gallate (ECG) (0.56) and theobromine (0.61), while the traits with the lowest prediction accuracies were theanine (0.32) and caffeine (0.39). The performance of all the GS models were almost the same, with BRR (0.53), BayesA (0.52), GBLUP (0.50) and RKHS-MP (0.50) performing slightly better than the others. Heritability estimates were moderate to high (0.35–0.92). Prediction accuracies increased with increasing training population size and trait heritability. We conclude that the moderate to high prediction accuracies observed suggests GS is a promising approach in tea improvement and could be implemented in breeding programmes.

scholarly journals Transcriptomic Analysis Reveals the Molecular Adaptation of Three Major Secondary Metabolic Pathways to Multiple Macronutrient Starvation in Tea (Camellia sinensis)

Genes ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 241 ◽  
Author(s):  
Hui Su ◽  
Xueying Zhang ◽  
Yuqing He ◽  
Linying Li ◽  
Yuefei Wang ◽  
...  
Keyword(s):  
Camellia Sinensis ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Element Analysis ◽  
Cis Element ◽  
Yield And Quality ◽  
Tea Quality ◽  
Function Enrichment Analysis ◽  
Tea Plants ◽  
Function Enrichment

Tea (Camellia sinensis (L.) O. Kuntze) is a widely consumed beverage. Lack of macronutrients is a major cause of tea yield and quality losses. Though the effects of macronutrient starvation on tea metabolism have been studied, little is known about their molecular mechanisms. Hence, we investigated changes in the gene expression of tea plants under nitrogen (N), phosphate (P), and potassium (K) deficient conditions by RNA-sequencing. A total of 9103 differentially expressed genes (DEG) were identified. Function enrichment analysis showed that many biological processes and pathways were common to N, P, and K starvation. In particular, cis-element analysis of promoter of genes uncovered that members of the WRKY, MYB, bHLH, NF-Y, NAC, Trihelix, and GATA families were more likely to regulate genes involved in catechins, l-theanine, and caffeine biosynthetic pathways. Our results provide a comprehensive insight into the mechanisms of responses to N, P, and K starvation, and a global basis for the improvement of tea quality and molecular breeding.

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