Transcriptome regulation of carotenoids in five flesh-colored watermelon (Citrullus lanatus)

Abstract Background: Fruit flesh color in watermelon (Citrullus lanatus) is a great index for evaluation of the appearance quality and a key contributor influencing consumers' preferences, but the molecular mechanism of this intricate trait remain largely unknown. Here, the carotenoids and transcriptome dynamics during the fruit development of cultivated watermelon with five different flesh colors were analyzed.Results: A total of 13 carotenoids and 16781 differentially expressed genes (DEGs) including 1295 transcription factors (TFs) were detected in five watermelon genotypes during the fruit development. The comprehensive accumulation patterns of carotenoids were closely related to flesh color. A number of potential structural genes and transcription factors were found to be associated with the carotenoid biosynthesis pathway using comparative transcriptome analysis. The differentially expressed genes were divided into six subclusters and distributed in different GO terms and metabolic pathways. Furthermore, we performed weighted gene co-expression network analysis and predicted hub genes in six main modules determining carotenoid contents. Cla018406 (a chaperone protein dnaJ-like protein) may be a candidate gene for β-carotene accumulation and highly expressed in orange flesh-colored fruit. Cla007686 (a zinc finger CCCH domain-containing protein) was highly expressed in the red flesh-colored watermelon, maybe a key regulator of lycopene accumulation. Cla003760 (membrane protein) and Cla021635 (photosystem I reaction center subunit II) were predicted to be hub genes and may play an essential role in yellow flesh formation.Conclusions: The composition and contents of carotenoid in five watermelon genotypes vary greatly. A series of candidate genes were revealed through combined analysis of metabolites and transcriptome. These results provide an important data resource for dissecting the candidate genes and molecular basis governing flesh color formation in watermelon fruit.

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Transcriptome regulation of carotenoids in five flesh-colored watermelons (Citrullus lanatus)

BMC Plant Biology ◽

10.1186/s12870-021-02965-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Pingli Yuan ◽

Muhammad Jawad Umer ◽

Nan He ◽

Shengjie Zhao ◽

Xuqiang Lu ◽

...

Keyword(s):

Transcription Factors ◽

Candidate Genes ◽

Differentially Expressed Genes ◽

Fruit Development ◽

Citrullus Lanatus ◽

Carotenoid Biosynthesis ◽

Differentially Expressed ◽

Flesh Color ◽

Hub Genes ◽

Data Resource

Abstract Background Fruit flesh color in watermelon (Citrullus lanatus) is a great index for evaluating the appearance quality and a key contributor influencing consumers’ preferences. But the molecular mechanism of this intricate trait remains largely unknown. Here, the carotenoids and transcriptome dynamics during the fruit development of cultivated watermelon with five different flesh colors were analyzed. Results A total of 13 carotenoids and 16,781 differentially expressed genes (DEGs), including 1295 transcription factors (TFs), were detected in five watermelon genotypes during the fruit development. The comprehensive accumulation patterns of carotenoids were closely related to flesh color. A number of potential structural genes and transcription factors were found to be associated with the carotenoid biosynthesis pathway using comparative transcriptome analysis. The differentially expressed genes were divided into six subclusters and distributed in different GO terms and metabolic pathways. Furthermore, we performed weighted gene co-expression network analysis and predicted the hub genes in six main modules determining carotenoid contents. Cla018406 (a chaperone protein dnaJ-like protein) may be a candidate gene for β-carotene accumulation and highly expressed in orange flesh-colored fruit. Cla007686 (a zinc finger CCCH domain-containing protein) was highly expressed in the red flesh-colored watermelon, maybe a key regulator of lycopene accumulation. Cla003760 (membrane protein) and Cla021635 (photosystem I reaction center subunit II) were predicted to be the hub genes and may play an essential role in yellow flesh formation. Conclusions The composition and contents of carotenoids in five watermelon genotypes vary greatly. A series of candidate genes were revealed through combined analysis of metabolites and transcriptome. These results provide an important data resource for dissecting candidate genes and molecular basis governing flesh color formation in watermelon fruit.

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Transcriptome Regulation of Carotenoids in Five Flesh-Colored Watermelon (Citrullus lanatus)

10.21203/rs.3.rs-42816/v1 ◽

2020 ◽

Author(s):

Pingli Yuan ◽

Muhammad Jawad Umer ◽

Nan He ◽

Shengjie Zhao ◽

Xuqiang Lu ◽

...

Keyword(s):

Transcription Factors ◽

Molecular Mechanisms ◽

Citrullus Lanatus ◽

Carotenoid Biosynthesis ◽

Flesh Color ◽

Hub Genes ◽

Color Formation ◽

Transcriptome Regulation ◽

Yellow Flesh ◽

Carotenoid Biosynthesis Pathway

Abstract Background: Fruit flesh color in watermelon (Citrullus lanatus) is a great index for evaluation of the appearance quality and a key contributor influencing consumers preferences, but the molecular mechanisms of this intricate trait remain largely unknown. Here, the carotenoids and transcriptome dynamics during fruit development in watermelon cultivars with 5 different flesh colors were analyzed.Results: A total of 13 carotenoids and 16,781 differentially expressed genes (DEGs) including 1,295 transcription factors (TFs) were detected during the development of five watermelon genotypes. A number of structural genes and transcription factors were found to be involved in the carotenoid biosynthesis pathway using comparative transcriptome analysis. Furthermore, we performed weighted gene co-expression network analysis and predicted hub genes in 6 main modules determining carotenoids contents. Cla018406 (a Chaperone protein dnaJ-like protein) maybe a candidate gene for β-carotene and highly expressed in orange flesh colored fruit. Cla007686 (a zinc finger CCCH domain-containing protein) was highly expressed in the red color watermelon, maybe a key regulator for lycopene accumulation. Cla003760 (merbrane protein) and Cla007686 (photosystenI reaction center subunit II) are predicted to be hub genes and play an important role in yellow flesh color formation.Conclusions: These results provide an important resource for dissecting the molecular basis and candidate genes governing flesh color formation in watermelon fruit.

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Transcriptome analysis of the oriental melon (Cucumis meloL. var.makuwa) during fruit development

PeerJ ◽

10.7717/peerj.2834 ◽

2017 ◽

Vol 5 ◽

pp. e2834 ◽

Cited By ~ 13

Author(s):

Ah-Young Shin ◽

Yong-Min Kim ◽

Namjin Koo ◽

Su Min Lee ◽

Seokhyeon Nahm ◽

...

Keyword(s):

Differentially Expressed Genes ◽

Fruit Development ◽

De Novo ◽

Expression Patterns ◽

Soluble Sugars ◽

Carotenoid Biosynthesis ◽

Northern China ◽

Differentially Expressed ◽

Oriental Melon ◽

Expression Of Genes

BackgroundThe oriental melon (Cucumis meloL. var.makuwa) is one of the most important cultivated cucurbits grown widely in Korea, Japan, and northern China. It is cultivated because its fruit has a sweet aromatic flavor and is rich in soluble sugars, organic acids, minerals, and vitamins. In order to elucidate the genetic and molecular basis of the developmental changes that determine size, color, and sugar contents of the fruit, we performedde novotranscriptome sequencing to analyze the genes expressed during fruit development.ResultsWe identified a total of 47,666 of representative loci from 100,875 transcripts and functionally annotated 33,963 of the loci based on orthologs inArabidopsis thaliana. Among those loci, we identified 5,173 differentially expressed genes, which were classified into 14 clusters base on the modulation of their expression patterns. The expression patterns suggested that the differentially expressed genes were related to fruit development and maturation through diverse metabolic pathways. Analyses based on gene set enrichment and the pathways described in the Kyoto Encyclopedia of Genes and Genomes suggested that the expression of genes involved in starch and sucrose metabolism and carotenoid biosynthesis were regulated dynamically during fruit development and subsequent maturation.ConclusionOur results provide the gene expression patterns related to different stages of fruit development and maturation in the oriental melon. The expression patterns give clues about important regulatory mechanisms, especially those involving starch, sugar, and carotenoid biosynthesis, in the development of the oriental melon fruit.

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In-silico analysis of differentially expressed genes and their regulating microRNA involved in lymph node metastasis in invasive breast carcinoma

10.1101/2020.11.25.20235259 ◽

2020 ◽

Author(s):

Anupama Modi ◽

Purvi Purohit ◽

Ashita Gadwal ◽

Shweta Ukey ◽

Dipayan Roy ◽

...

Keyword(s):

Gene Expression ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Candidate Genes ◽

Differentially Expressed Genes ◽

In Silico ◽

Nodal Metastasis ◽

Differentially Expressed ◽

Hub Genes ◽

Node Metastasis

AbstractIntroductionAxillary nodal metastasis is related to poor prognosis in breast cancer (BC). The metastatic progression in BC is related to molecular signatures. The currently popular methods to evaluate nodal status may give false negatives or give rise to secondary complications. In this study, key candidate genes in BC lymph node metastasis have been identified from publicly available microarray datasets and their roles in BC have been explored through survival analysis and target prediction.MethodsGene Expression Omnibus datasets have been analyzed for differentially expressed genes (DEGs) in lymph node-positive BC patients compared to nodal-negative and healthy tissues. The functional enrichment analysis was done in database for annotation, visualization and integrated discovery (DAVID). Protein-protein interaction (PPI) network was constructed in Search Tool for the Retrieval of Interacting Genes and proteins (STRING) and visualized on Cytoscape. The candidate hub genes were identified and their expression analyzed for overall survival (OS) in Gene Expression Profiling Interactive Analysis (GEPIA). The target miRNA and transcription factors were analyzed through miRNet.ResultsA total of 102 overlapping DEGs were found. Gene Ontology revealed eleven, seventeen, and three significant terms for cellular component, biological process, and molecular function respectively. Six candidate genes, DSC3, KRT5, KRT6B, KRT17, KRT81, and SERPINB5 were significantly associated with nodal metastasis and OS in BC patients. A total of 83 targeting miRNA were identified through miRNet and hsa-miR-155-5p was found to be the most significant miRNA which was targeting five out of six hub genes.ConclusionIn-silico survival and expression analyses revealed six candidate genes and 83 miRNAs, which may be potential diagnostic markers and therapeutic targets in BC patients and miR-155-5p shows promise as it targeted five important hub genes related to lymph-node metastasis.

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Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical Cancer

Journal of Personalized Medicine ◽

10.3390/jpm11050363 ◽

2021 ◽

Vol 11 (5) ◽

pp. 363

Author(s):

Arafat Rahman Oany ◽

Mamun Mia ◽

Tahmina Pervin ◽

Salem Ali Alyami ◽

Mohammad Ali Moni

Keyword(s):

Cervical Cancer ◽

Systems Biology ◽

Differentially Expressed Genes ◽

Inflammatory Responses ◽

Profile Analysis ◽

Target Identification ◽

Regulatory Genes ◽

Differentially Expressed ◽

Hub Genes ◽

Potential Biomarkers

Nowadays, cervical cancer (CC) is treated as the leading cancer among women throughout the world. Despite effective vaccination and improved surgery and treatment, CC retains its fatality rate of about half of the infected population globally. The major screening biomarkers and therapeutic target identification have now become a global concern. In the present study, we have employed systems biology approaches to retrieve the potential biomarkers and pathways from transcriptomic profiling. Initially, we have identified 76 of each up-regulated and down-regulated gene from a total of 4643 differentially expressed genes. The up-regulatory genes mainly concentrate on immune-inflammatory responses, and the down-regulatory genes are on receptor binding and gamma-glutamyltransferase. The involved pathways associated with these genes were also assessed through pathway enrichment, and we mainly focused on different cancer pathways, immunoresponse, and cell cycle pathways. After the subsequent enrichment of these genes, we have identified 12 hub genes, which play a crucial role in CC and are verified by expression profile analysis. From our study, we have found that genes LILRB2 and CYBB play crucial roles in CC, as reported here for the first time. Furthermore, the survivability of the hub genes was also assessed, and among them, finally, CXCR4 has been identified as one of the most potential differentially expressed genes that might play a vital role in the survival of CC patients. Thus, CXCR4 could be used as a prognostic and/or diagnostic biomarker and a drug target for CC.

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Identifying Candidate Genes for Hypoxia Adaptation of Tibet Chicken Embryos by Selection Signature Analyses and RNA Sequencing

Genes ◽

10.3390/genes11070823 ◽

2020 ◽

Vol 11 (7) ◽

pp. 823

Author(s):

Xiayi Liu ◽

Xiaochen Wang ◽

Jing Liu ◽

Xiangyu Wang ◽

Haigang Bao

Keyword(s):

Candidate Genes ◽

Rna Sequencing ◽

Differentially Expressed Genes ◽

Gallus Gallus ◽

Differentially Expressed ◽

Tibet Plateau ◽

Embryonic Liver ◽

Selection Signature ◽

Chicken Embryos ◽

Hypoxia Adaptation

The Tibet chicken (Gallus gallus) lives on the Qinghai–Tibet Plateau and adapts to the hypoxic environment very well. The objectives of this study was to obtain candidate genes associated with hypoxia adaptation in the Tibet chicken embryos. In the present study, we used the fixation index (Fst) and cross population extended haplotype homozygosity (XPEHH) statistical methods to detect signatures of positive selection of the Tibet chicken, and analyzed the RNA sequencing data from the embryonic liver and heart with HISAT, StringTie and Ballgown for differentially expressed genes between the Tibet chicken and White leghorn (Gallus gallus, a kind of lowland chicken) embryos hatched under hypoxia condition. Genes which were screened out by both selection signature analysis and RNA sequencing analysis could be regarded as candidate genes for hypoxia adaptation of chicken embryos. We screened out 1772 genes by XPEHH and 601 genes by Fst, and obtained 384 and 353 differentially expressed genes in embryonic liver and heart, respectively. Among these genes, 89 genes were considered as candidate genes for hypoxia adaptation in chicken embryos. ARNT, AHR, GSTK1 and FGFR1 could be considered the most important candidate genes. Our findings provide references to elucidate the molecular mechanism of hypoxia adaptation in Tibet chicken embryos.

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Differentially expressed genes in preimplantation human embryos: potential candidate genes for blastocyst formation and implantation

Journal of Assisted Reproduction and Genetics ◽

10.1007/s10815-016-0745-x ◽

2016 ◽

Vol 33 (8) ◽

pp. 1017-1025 ◽

Cited By ~ 9

Author(s):

Erika M. Munch ◽

Amy E. Sparks ◽

Jesus Gonzalez Bosquet ◽

Lane K. Christenson ◽

Eric J. Devor ◽

...

Keyword(s):

Candidate Genes ◽

Differentially Expressed Genes ◽

Differentially Expressed ◽

Human Embryos ◽

Potential Candidate ◽

Blastocyst Formation

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Bioinformatics analysis of differentially expressed genes and identification of an miRNA–mRNA network associated with entorhinal cortex and hippocampus in Alzheimer’s disease

Hereditas ◽

10.1186/s41065-021-00190-0 ◽

2021 ◽

Vol 158 (1) ◽

Author(s):

Haoming Li ◽

Linqing Zou ◽

Jinhong Shi ◽

Xiao Han

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Differentially Expressed Genes ◽

Entorhinal Cortex ◽

Molecular Mechanisms ◽

Kegg Pathway ◽

Neurodegenerative Disorder ◽

Early Stage ◽

Differentially Expressed ◽

Hub Genes

Abstract Background Alzheimer’s disease (AD) is a fatal neurodegenerative disorder, and the lesions originate in the entorhinal cortex (EC) and hippocampus (HIP) at the early stage of AD progression. Gaining insight into the molecular mechanisms underlying AD is critical for the diagnosis and treatment of this disorder. Recent discoveries have uncovered the essential roles of microRNAs (miRNAs) in aging and have identified the potential of miRNAs serving as biomarkers in AD diagnosis. Methods We sought to apply bioinformatics tools to investigate microarray profiles and characterize differentially expressed genes (DEGs) in both EC and HIP and identify specific candidate genes and pathways that might be implicated in AD for further analysis. Furthermore, we considered that DEGs might be dysregulated by miRNAs. Therefore, we investigated patients with AD and healthy controls by studying the gene profiling of their brain and blood samples to identify AD-related DEGs, differentially expressed miRNAs (DEmiRNAs), along with gene ontology (GO) analysis, KEGG pathway analysis, and construction of an AD-specific miRNA–mRNA interaction network. Results Our analysis identified 10 key hub genes in the EC and HIP of patients with AD, and these hub genes were focused on energy metabolism, suggesting that metabolic dyshomeostasis contributed to the progression of the early AD pathology. Moreover, after the construction of an miRNA–mRNA network, we identified 9 blood-related DEmiRNAs, which regulated 10 target genes in the KEGG pathway. Conclusions Our findings indicated these DEmiRNAs having the potential to act as diagnostic biomarkers at an early stage of AD.

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Genomic Expression Profiling of Colorectal Cancer in Silico

10.21203/rs.3.rs-310514/v1 ◽

2021 ◽

Author(s):

Feifei Liu ◽

Yu Wang ◽

Wenxue Li ◽

Diancheng Li ◽

Yuwei Xin ◽

...

Keyword(s):

Colorectal Cancer ◽

Survival Analysis ◽

Mrna Expression ◽

Differentially Expressed Genes ◽

Expression Profiles ◽

Functional Enrichment ◽

Differentially Expressed ◽

Analysis Tool ◽

Hub Genes ◽

Normal Tissues

Abstract Background: Colorectal cancer (CRC) is one of the most common malignancies of the digestive system; the progression and prognosis of which are affected by a complicated network of genes and pathways. The aim of this study was to identify potential hub genes associated with the progression and prognosis of colorectal cancer (CRC).Methods: We obtained gene expression profiles from GEO database to search differentially expressed genes (DEGs) between CRC tissues and normal tissue. Subsequently, we conducted a functional enrichment analysis, generated a protein–protein interaction (PPI) network to identify the hub genes, and analyzed the expression validation of the hub genes. Kaplan–Meier plotter survival analysis tool was performed to evaluate the prognostic value of hub genes expression in CRC patients.Results: A total of 370 samples, involving CRC and normal tissues were enrolled in this article. 283 differentially expressed genes (DEGs), including 62 upregulated genes and 221 downregulated genes between CRC and normal tissues were selected. We finally filtered out 6 hub genes, including INSL5, MTIM, GCG, SPP1, HSD11B2, and MAOB. In the database of TCGA-COAD, the mRNA expression of INSL5, MT1M, HSD11B2, MAOB in tumor is lower than that in normal; the mRNA expression of SPP1 in tumor is higher than that in normal. In the HPA database, the expression of INSL5, GCG, HSD11B2, MAOB in tumor is lower than that in normal tissues; the expression of SPP1 in the tumor is higher than that in normal tissues. Survival analysis revealed that INSL5, GCG, SPP1 and MT1M may serve as prognostic biomarkers in CRC. Conclusions: We screened out six hub genes to predict the occurrence and prognosis of patients with CRC using bioinformatics methods, which may provide new targets and ideas for diagnosis, prognosis and individualized treatment for CRC.

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Identification and characterization of differentially expressed genes in Caenorhabditis elegans in response to pathogenic and nonpathogenic Stenotrophomonas maltophilia

10.21203/rs.2.14106/v2 ◽

2019 ◽

Author(s):

Leah J Radeke ◽

Michael Herman

Keyword(s):

Candidate Genes ◽

Differentially Expressed Genes ◽

Stenotrophomonas Maltophilia ◽

Defense Mechanisms ◽

Virulent Strain ◽

Differentially Expressed ◽

Transcriptional Responses ◽

Transcriptomic Response ◽

C Elegans ◽

Realistic Interaction

Abstract Background: Stenotrophomonas maltophilia is an emerging nosocomial pathogen that causes infection in immunocompromised patients. S. maltophilia isolates are genetically diverse, contain diverse virulence factors, and are variably pathogenic within several host species. Members of the Stenotrophomonas genus are part of the native microbiome of C. elegans , being found in greater relative abundance within the worm than its environment, suggesting that these bacteria accumulate within C. elegans . Thus, study of the C. elegans-Stenotrophomonas interaction is of both medical and ecological significance. To identify host defense mechanisms, we analyzed the C. elegans transcriptomic response to S. maltophilia strains of varying pathogenicity: K279a, an avirulent clinical isolate, JCMS, a virulent strain isolated in association with soil nematodes near Manhattan, KS, and JV3, an even more virulent environmental isolate. Results: Overall, we found 145 genes that are commonly differentially expressed in response to pathogenic S. maltophilia strains, 89% of which are upregulated, with many even further upregulated in response to JV3 as compared to JCMS. There are many more JV3-specific differentially expressed genes (225, 11% upregulated) than JCMS-specific differentially expressed genes (14, 86% upregulated), suggesting JV3 has unique pathogenic mechanisms that could explain its increased virulence. We used connectivity within a gene network model to choose pathogen-specific and strain-specific differentially expressed candidate genes for functional analysis. Mutations in 13 of 22 candidate genes caused significant differences in C. elegans survival in response to at least one S. maltophilia strain, although not always the strain that induced differential expression, suggesting a dynamic response to varying levels of pathogenicity. Conclusions: Variation in observed pathogenicity and differences in host transcriptional responses to S. maltophilia strains reveal that strain-specific mechanisms play important roles in S. maltophilia pathogenesis. Furthermore, utilizing bacteria closely related to strains found in C. elegans natural environment provides a more realistic interaction for understanding host-pathogen response.

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