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1.
Plant Biotechnol J ; 22(4): 1001-1016, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38048231

ABSTRACT

As a frequently consumed beverage worldwide, tea is rich in naturally important bioactive metabolites. Combining genetic, metabolomic and biochemical methodologies, here, we present a comprehensive study to dissect the chemical diversity in tea plant. A total of 2837 metabolites were identified at high-resolution with 1098 of them being structurally annotated and 63 of them were structurally identified. Metabolite-based genome-wide association mapping identified 6199 and 7823 metabolic quantitative trait loci (mQTL) for 971 and 1254 compounds in young leaves (YL) and the third leaves (TL), respectively. The major mQTL (i.e., P < 1.05 × 10-5, and phenotypic variation explained (PVE) > 25%) were further interrogated. Through extensive annotation of the tea metabolome as well as network-based analysis, this study broadens the understanding of tea metabolism and lays a solid foundation for revealing the natural variations in the chemical composition of the tea plant. Interestingly, we found that galloylations, rather than hydroxylations or glycosylations, were the largest class of conversions within the tea metabolome. The prevalence of galloylations in tea is unusual, as hydroxylations and glycosylations are typically the most prominent conversions of plant specialized metabolism. The biosynthetic pathway of flavonoids, which are one of the most featured metabolites in tea plant, was further refined with the identified metabolites. And we demonstrated the further mining and interpretation of our GWAS results by verifying two identified mQTL (including functional candidate genes CsUGTa, CsUGTb, and CsCCoAOMT) and completing the flavonoid biosynthetic pathway of the tea plant.


Subject(s)
Camellia sinensis , Genome-Wide Association Study , Metabolome/genetics , Metabolomics , Quantitative Trait Loci/genetics , Flavonoids/genetics , Flavonoids/metabolism , Camellia sinensis/genetics , Tea/genetics , Tea/metabolism , Plant Leaves/genetics , Plant Leaves/metabolism
2.
aBIOTECH ; 3(4): 250-266, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36533263

ABSTRACT

PLIP lipases can initiate jasmonic acid (JA) biosynthesis. However, little is known about the transcriptional regulation of this process. In this study, an ERF transcription factor (CsESE3) was found to be co-expressed with all necessary genes for JA biosynthesis and several key genes for wax biosynthesis in transcriptomes of 'Newhall' navel orange. CsESE3 shows partial sequence similarity to the well-known wax regulator SHINEs (SHNs), but lacks a complete MM protein domain. Ectopic overexpression of CsESE3 in tomato (OE) resulted in reduction of fruit surface brightness and dwarf phenotype compared to the wild type. The OE tomato lines also showed significant increases in the content of wax and JA and the expression of key genes related to their biosynthesis. Overexpression of CsESE3 in citrus callus and fruit enhanced the JA content and the expression of JA biosynthetic genes. Furthermore, CsESE3 could bind to and activate the promoters of two phospholipases from the PLIP gene family to initiate JA biosynthesis. Overall, this study indicated that CsESE3 could mediate JA biosynthesis by activating PLIP genes and positively modulate wax biosynthesis. The findings provide important insights into the coordinated control of two defense strategies of plants represented by wax and JA biosynthesis. Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-022-00085-2.

3.
Hortic Res ; 8(1): 56, 2021 Mar 01.
Article in English | MEDLINE | ID: mdl-33642588

ABSTRACT

Deciphering the genetic basis of plant secondary metabolism will provide useful insights for genetic improvement and enhance our fundamental understanding of plant biological processes. Although citrus plants are among the most important fruit crops worldwide, the genetic basis of secondary metabolism in these plants is largely unknown. Here, we use a high-density linkage map to dissect large-scale flavonoid metabolic traits measured in different tissues (young leaf, old leaf, mature pericarp, and mature pulp) of an F1 pseudo-testcross citrus population. We detected 80 flavonoids in this population and identified 138 quantitative trait loci (QTLs) for 57 flavonoids in these four tissues. Based on transcriptional profiling and functional annotation, twenty-one candidate genes were identified, and one gene encoding flavanone 3-hydroxylase (F3H) was functionally verified to result in naturally occurring variation in dihydrokaempferol content through genetic variations in its promoter and coding regions. The abundant data resources collected for diverse citrus germplasms here lay the foundation for complete characterization of the citrus flavonoid biosynthetic pathway and will thereby promote efficient utilization of metabolites in citrus quality improvement.

4.
Nat Commun ; 11(1): 3719, 2020 07 24.
Article in English | MEDLINE | ID: mdl-32709943

ABSTRACT

Wild teas are valuable genetic resources for studying domestication and breeding. Here we report the assembly of a high-quality chromosome-scale reference genome for an ancient tea tree. The further RNA sequencing of 217 diverse tea accessions clarifies the pedigree of tea cultivars and reveals key contributors in the breeding of Chinese tea. Candidate genes associated with flavonoid biosynthesis are identified by genome-wide association study. Specifically, diverse allelic function of CsANR, CsF3'5'H and CsMYB5 is verified by transient overexpression and enzymatic assays, providing comprehensive insights into the biosynthesis of catechins, the most important bioactive compounds in tea plants. The inconspicuous differentiation between ancient trees and cultivars at both genetic and metabolic levels implies that tea may not have undergone long-term artificial directional selection in terms of flavor-related metabolites. These genomic resources provide evolutionary insight into tea plants and lay the foundation for better understanding the biosynthesis of beneficial natural compounds.


Subject(s)
Genetic Variation , Genome, Plant , Melaleuca/genetics , Pedigree , Trees/genetics , Alleles , Biosynthetic Pathways/genetics , Camellia sinensis/genetics , Catechin/metabolism , China , Domestication , Evolution, Molecular , Gallic Acid/metabolism , Gene Expression Regulation, Plant , Genes, Plant/genetics , Genome-Wide Association Study , Genomics , Sequence Analysis, RNA , Tea Tree Oil
5.
J Agric Food Chem ; 68(19): 5483-5495, 2020 May 13.
Article in English | MEDLINE | ID: mdl-32302110

ABSTRACT

As one of the most popular beverages globally, tea has enormous economic, cultural, and medicinal importance that necessitates a comprehensive metabolomics study of this species. In this study, a large-scale targeted metabolomics analysis on two types of leaf tissues of nine tea cultivars from five representative geographical origins within China was carried out using the liquid chromatography-mass spectrometry technique. RNA-seq-based transcriptomic analysis was in parallel conducted on the same samples, and gene expression and metabolic differentiation between tissues as well as between the multiple tea cultivars were investigated. The data obtained provide an accessible resource for further studies of naturally occurring metabolic variation of tea plants, which will aid in thoroughly interpreting the underlying genetic and molecular mechanisms of biosynthesis of specialized metabolites in this critical species. Candidate genes including a transcription factor (CsMYB5-like), which were highly correlated with both the content of flavonoids and the expression level of genes participating in the phenylpropanoid and flavonoid biosynthesis pathway, were identified as potential targets for quality improvement of tea.


Subject(s)
Camellia sinensis/genetics , Camellia sinensis/metabolism , Camellia sinensis/chemistry , China , Flavonoids/biosynthesis , Gene Expression Profiling , Gene Expression Regulation, Plant , Metabolomics , Plant Leaves/chemistry , Plant Leaves/genetics , Plant Leaves/metabolism , Plant Proteins/chemistry , Plant Proteins/genetics , Plant Proteins/metabolism , Transcriptome
6.
Sci Rep ; 6: 32005, 2016 08 25.
Article in English | MEDLINE | ID: mdl-27557749

ABSTRACT

Floral induction in litchi is influenced by multiple environment cues including temperature and soil water condition. In the present study, we determined that a combined treatment consisting of 14-day drought imposed prior to exposure to 35-day low temperature (T3) significantly promoted litchi flowering relative to the low temperature alone (T2), suggesting an integrative effect of drought and low temperature on litchi floral initiation. Analysis of transcriptomic changes in leaves from different treatments showed that 2,198 and 4,407 unigenes were differentially expressed in response to drought and low temperature, respectively. 1,227 of these unigenes were expressed in response to both treatments, implying an interaction of drought and low temperature on expression of genes involved in litchi floral initiation. Additionally, 932 unigenes were consistently differentially expressed during floral induction between T2 and T3 plants, which potentially accounts for the difference of flowering time. Thirty-eight transcription factors out of these 932 unigenes were identified as hub genes with central roles in regulation of litchi floral induction. The expression of litchi homologs of well-known flowering genes was also investigated, and one Flowering Locus T (FT) homolog may play a crucial role in litchi flowering in responses to drought and low temperature.


Subject(s)
Droughts , Genome, Plant , Litchi/genetics , Cold Temperature , Fruit/genetics , Fruit/growth & development , Fruit/metabolism , Gene Expression Profiling , High-Throughput Nucleotide Sequencing , Litchi/growth & development , Litchi/metabolism , Plant Leaves/genetics , Plant Leaves/metabolism , Plant Proteins/genetics , Plant Proteins/metabolism , RNA, Plant/chemistry , RNA, Plant/isolation & purification , RNA, Plant/metabolism , Sequence Analysis, RNA , Transcription Factors/genetics , Transcription Factors/metabolism , Transcriptome
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