scholarly journals Dynamic Changes of Ascorbic Acid Occurring During Fruit Development and Ripening of Actinida Latifolia and Their Associated Molecular Mechanisms Deciphered by Weighted Gene Co-Expression Network Analysis

2020 ◽  
Author(s):  
Hui Xia ◽  
Honghong Deng ◽  
Rongping Hu ◽  
Lijin Lin ◽  
Jin Wang ◽  
...  
Keyword(s):  
Ascorbic Acid ◽  
Network Analysis ◽  
Fruit Development ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Network Module ◽  
Dynamic Changes ◽  
Fruit Development And Ripening ◽  
Expansion Stage ◽  
Highly Correlated

Abstract Background: Actinidia latifolia is an exceptional source with extremely high ascorbic acid (AsA) content. However, its transcriptome atlas is lacking and how AsA accumulates during fruit development and ripening of this special kiwifruit and its associated molecular mechanisms are still poorly understood.Results: Herein, the dynamic changes of AsA content of six stages of A. latifolia fruit development and ripening determined by HPLC demonstrated a rapid increasing profile during the initial expansion stage with a peak around 60 days after flowering (1194.21±69.25 mg 100g-1 FW), followed by a progressive, albeit not significant decrease tendency and reached the minimum levels (1028.76±31.19 mg 100g-1 FW) at maturity. A high-quality full-length (FL) transcriptome of A. latifolia was successfully constructed by third-generation sequencing for the first time, comprising 326,926 FL non-chimeric reads, 15,505 coding sequences, 2882 transcription factors, 18,797 simple sequence repeats, 3328 long noncoding RNAs, and 231 alternative splicing events. Illumina RNA-seq in combination with weighted gene co-expression network analysis revealed a network module highly correlated (r=0.5, p=0.03) with AsA content. Gene co-expression in this network module was explained by its roles in protein processing in endoplasmic reticulum (ko04141), glycolysis/gluconeogenesis (ko00010), and carbon metabolism (ko01200). Moreover, the expression patterns of genes involved in AsA biosynthesis and metabolism validated by qRT-PCR exhibited a similar trend with AsA accumulation.Conclusions: Overall, the dynamic changes of AsA content and associated key genes and enriched metabolic pathways were deciphered, which paves the way for genetic improvement that aims for development of kiwifruit with super-high AsA content.

scholarly journals An Actinidia chinensis (kiwifruit) eFP browser and network analysis of transcription factors

2020 ◽  
Author(s):  
Lara Brian ◽  
Ben Warren ◽  
Peter McAtee ◽  
Jessica Rodrigues ◽  
Niels Nieuwenhuizen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Network Analysis ◽  
Fruit Development ◽  
Transcriptional Control ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Actinidia Chinensis ◽  
Knox Gene ◽  
Hub Genes ◽  
Flower And Fruit Development

Abstract BackgroundTranscriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome has resulted in a high quality set of 33,044 genes. Here we investigate gene expression patterns in diverse tissues, visualised in an Electronic Fluorescent Pictograph (eFP) browser, to study the relationship of transcription factor (TF) expression using network analysis. ResultsSixty-one samples covering diverse tissues at different developmental time points were selected for RNAseq analysis and an eFP browser was generated to visualise this dataset. 2,839 TFs representing 57 different classes were identified and named. Network analysis of the TF expression patterns separated TFs into 14 different modules. Two modules consisting of 237 TFs were correlated with floral bud and flower development, a further two modules containing 160 TFs were associated with fruit development and maturation. A single module of 480 TFs was associated with ethylene-induced fruit ripening. Three “hub” genes correlated with flower and fruit development consisted of a HAF-like gene central to gynoecium development, an ERF and a DOF gene. Maturing and ripening hub genes included a KNOX gene that was associated with seed maturation, and a GRAS-like TF.ConclusionsThis study provides an insight into the complexity of the transcriptional control of flower and fruit development, as well as providing a new resource to the plant community. The eFP browser is provided in an accessible format that allows researchers to download and work internally.

Expression patterns of genes involved in sugar metabolism and accumulation during peach fruit development and ripening

2019 ◽  
Vol 257 ◽  
pp. 108633 ◽  
Author(s):  
Muhammad Muzammal Aslam ◽  
Li Deng ◽  
Xiaobei Wang ◽  
Yan Wang ◽  
Lei Pan ◽  
...  
Keyword(s):  
Fruit Development ◽  
Expression Patterns ◽  
Sugar Metabolism ◽  
Peach Fruit ◽  
Fruit Development And Ripening

scholarly journals A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lara Brian ◽  
Ben Warren ◽  
Peter McAtee ◽  
Jessica Rodrigues ◽  
Niels Nieuwenhuizen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Network Analysis ◽  
Fruit Development ◽  
Transcriptional Control ◽  
Expression Patterns ◽  
Gene Expression Patterns ◽  
Actinidia Chinensis ◽  
Knox Gene ◽  
Hub Genes ◽  
Flower And Fruit Development

Abstract Background Transcriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome has resulted in a high quality set of 33,044 genes. Here we investigate gene expression patterns in diverse tissues, visualised in an Electronic Fluorescent Pictograph (eFP) browser, to study the relationship of transcription factor (TF) expression using network analysis. Results Sixty-one samples covering diverse tissues at different developmental time points were selected for RNA-seq analysis and an eFP browser was generated to visualise this dataset. 2839 TFs representing 57 different classes were identified and named. Network analysis of the TF expression patterns separated TFs into 14 different modules. Two modules consisting of 237 TFs were correlated with floral bud and flower development, a further two modules containing 160 TFs were associated with fruit development and maturation. A single module of 480 TFs was associated with ethylene-induced fruit ripening. Three “hub” genes correlated with flower and fruit development consisted of a HAF-like gene central to gynoecium development, an ERF and a DOF gene. Maturing and ripening hub genes included a KNOX gene that was associated with seed maturation, and a GRAS-like TF. Conclusions This study provides an insight into the complexity of the transcriptional control of flower and fruit development, as well as providing a new resource to the plant community. The Actinidia eFP browser is provided in an accessible format that allows researchers to download and work internally.

scholarly journals Developmental Variation in Fruit Polyphenol Content and Related Gene Expression of a Red-Fruited versus a White-Fruited Fragaria vesca Genotype

Horticulturae ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 30
Author(s):  
Sutapa Roy ◽  
Sanjay Singh ◽  
Douglas Archbold
Keyword(s):  
Gene Expression ◽  
Transcription Factors ◽  
Fruit Development ◽  
Biosynthetic Pathway ◽  
Receptor Gene ◽  
Expression Patterns ◽  
Related Gene ◽  
Pathway Gene ◽  
Fruit Development And Ripening ◽  
Flavonoid Biosynthetic Pathway

Two cultivars of F. vesca, red-fruited Baron Solemacher (BS) and white-fruited Pineapple Crush (PC), were studied to compare and contrast the quantitative accumulation of major polyphenols and related biosynthetic pathway gene expression patterns during fruit development and ripening. Developing PC fruit showed higher levels of hydroxycinnamic acids in green stages and a greater accumulation of ellagitannins in ripe fruit in comparison to BS. In addition to anthocyanin, red BS fruit had greater levels of flavan-3-ols when ripe than PC. Expression patterns of key structural genes and transcription factors of the phenylpropanoid/flavonoid biosynthetic pathway, an abscisic acid (ABA) biosynthetic gene, and a putative ABA receptor gene that may regulate the pathway, were also analyzed during fruit development and ripening to determine which genes exhibited differences in expression and when such differences were first evident. Expression of all pathway genes differed between the red BS and white PC at one or more times during development, most notably at ripening when phenylalanine ammonia lyase 1 (PAL1), chalcone synthase (CHS), flavanone-3′-hydroxylase (F3′H), dihydroflavonol 4-reductase (DFR), anthocyanidin synthase (ANS), and UDP:flavonoid-O-glucosyltransferase 1 (UFGT1) were significantly upregulated in the red BS fruit. The transcription factors MYB1 and MYB10 did not differ substantially between red and white fruit except at ripening, when both the putative repressor MYB1 and promoter MYB10 were upregulated in red BS but not white PC fruit. The expression of ABA-related gene 9-cis-epoxycarotenoid dioxygenase 1 (NCED1) was higher in red BS fruit but only in the early green stages of development. Thus, a multigenic effect at several points in the phenylpropanoid/flavonoid biosynthetic pathway due to lack of MYB10 upregulation may have resulted in white PC fruit.

Transcriptome Analysis of Low- and High-Sucrose Pear Cultivars Identifies Key Regulators of Sucrose Biosynthesis in Fruits

2020 ◽  
Vol 61 (8) ◽  
pp. 1493-1506
Author(s):  
Jiahong Lü ◽  
Xin Tao ◽  
Gaifang Yao ◽  
Shaoling Zhang ◽  
Huping Zhang
Keyword(s):  
Transcriptome Analysis ◽  
Fruit Development ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Linear Regression Analysis ◽  
Sucrose Phosphate Synthase ◽  
Sucrose Accumulation ◽  
Sucrose Content ◽  
Sucrose Biosynthesis ◽  
High Sucrose

Abstract Sucrose accumulation is one of the important factors that determine fruit enlargement and quality. Evaluation of the sugar profile of 105 pear cultivars revealed low-sucrose and high-sucrose (HS) types of pear fruits. To better understand the molecular mechanisms governing the sucrose content of pear fruits, this study performed transcriptome analysis during fruit development using low-sucrose ‘Korla’ fragrant pear and HS ‘Hosui’ pear, and a coexpression module uniquely associated with the control of high-sucrose accumulation was identified by weighted gene coexpression network analysis. These results suggested that there are seven candidate genes encoding key enzymes (fructokinase, glucose-6-phosphate isomerase, sucrose phosphate synthase and sucrose synthase) involved in sucrose biosynthesis and several transcription factors (TFs) whose expression patterns correlate with those of genes associated with sucrose biosynthesis. This correlation was confirmed by linear regression analysis between predicted gene expression and sucrose content in different pear cultivars during fruit development. This study provides insight into the molecular mechanism underlying differences in sucrose content across pear cultivars and presents candidate structural genes and TFs that could play important roles in regulating carbohydrate partitioning and sucrose accumulation.

scholarly journals Identification of novel and conserved microRNAs involved in fruit development and ripening in Fragaria vesca

2019 ◽  
Vol 88 (2) ◽  
Author(s):  
Yuanfang Han ◽  
Guosong Chen ◽  
Heying Zhou ◽  
Qing Zhang ◽  
Ling Qin ◽  
...  
Keyword(s):  
Fruit Development ◽  
Molecular Mechanisms ◽  
Transcriptional Level ◽  
Fragaria Vesca ◽  
Chain Reaction ◽  
Regulate Gene Expression ◽  
Qrt Pcr ◽  
Endonucleolytic Cleavage ◽  
Fruit Development And Ripening ◽  
Polymerase Chain

MicroRNAs (miRNAs) are class of noncoding RNAs that regulate gene expression at the post-transcriptional level, either by endonucleolytic cleavage or by translational inhibition. Strawberry is a popular worldwide fresh fruit and is believed to benefit human health. However, the function of miRNAs during this fruit development and ripening remains unknown and miRNAs for specific for these processes are expected to be discovered. In the study, we identified 218 conserved miRNAs and 87 novel miRNAs in <em>Fragaria vesca</em>. Expression profiling of miRNAs during fruit development and ripening was performed, and the expression of targets of the miRNAs was validated by qRT-PCR (quantitative reverse transcription polymerase chain reaction). This study provided data for further research on molecular mechanisms involved in fruit development and ripening.

scholarly journals Genome-Wide Analysis of the MADS-Box Transcription Factor Family in Solanum lycopersicum

2019 ◽  
Vol 20 (12) ◽  
pp. 2961 ◽  
Author(s):  
Yunshu Wang ◽  
Jianling Zhang ◽  
Zongli Hu ◽  
Xuhu Guo ◽  
Shibing Tian ◽  
...  
Keyword(s):  
Gene Family ◽  
Fruit Development ◽  
Expression Patterns ◽  
Functional Characterization ◽  
Constitutive Expression ◽  
Floral Organ ◽  
Mads Box ◽  
Mads Box Genes ◽  
Fruit Development And Ripening ◽  
Mads Box Gene

MADS-box family genes encode transcription factors that are involved in multiple developmental processes in plants, especially in floral organ specification, fruit development, and ripening. However, a comprehensive analysis of tomato MADS-box family genes, which is an important model plant to study flower fruit development and ripening, remains obscure. To gain insight into the MADS-box genes in tomato, 131 tomato MADS-box genes were identified. These genes could be divided into five groups (Mα, Mβ, Mγ, Mδ, and MIKC) and were found to be located on all 12 chromosomes. We further analyzed the phylogenetic relationships among Arabidopsis and tomato, as well as the protein motif structure and exon–intron organization, to better understand the tomato MADS-box gene family. Additionally, owing to the role of MADS-box genes in floral organ identification and fruit development, the constitutive expression patterns of MADS-box genes at different stages in tomato development were identified. We analyzed 15 tomato MADS-box genes involved in floral organ identification and five tomato MADS-box genes related to fruit development by qRT-PCR. Collectively, our study provides a comprehensive and systematic analysis of the tomato MADS-box genes and would be valuable for the further functional characterization of some important members of the MADS-box gene family.

Network Analysis Reveals Dysregulated Functional Patterns in Type II Diabetic Skin

2021 ◽  
Author(s):  
Chunan Liu ◽  
Sudha Ram ◽  
Bonnie L. Hurwitz
Keyword(s):  
Network Analysis ◽  
Molecular Mechanisms ◽  
Expression Patterns ◽  
Tissue Expression ◽  
Type Ii ◽  
Skin Disorders ◽  
Long Term Effects ◽  
High Blood Glucose ◽  
Keratinocyte Proliferation ◽  
And Migration

Abstract Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis of single genes in previous research. Here, we use network analysis and topological properties to systematically investigate dysregulated gene co-expression patterns in type II diabetic skin with skin samples from the Genotype-Tissue Expression database. Our final network consisted of 8,812 genes from 73 subjects with T2DM and 147 non-T2DM subjects matched for age, sex, and race. Two gene modules significantly related to T2DM were functionally enriched in the pathway lipid metabolism, activated by PPARA and SREBF (SREBP). Transcription factors KLF10, KLF4, SP1, and microRNA-21 were predicted to be important regulators of gene expression in these modules. Intramodular analysis and betweenness centrality identified NCOA6 as the hub gene while KHSRP and SIN3B are key coordinators that influence molecular activities differently between T2DM and non-T2DM populations. We built a TF-miRNA-mRNA regulatory network to reveal the novel mechanism (miR-21-PPARA-NCOA6) of dysregulated keratinocyte proliferation, differentiation, and migration in diabetic skin, which may provide new insights into the susceptibility of skin disorders in T2DM patients. Hub genes and key coordinators may serve as therapeutic targets to improve diabetic skincare.

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