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Identification of reference genes for real-time polymerase chain reaction gene expression studies in Nile rats fed Water-Soluble Palm Fruit Extract

Leow SS, Lee WK, Khoo JS, Teoh S, Hoh CC, Fairus S, et al.

Mol Biol Rep, 2020 Dec;47(12):9409-9427.
PMID: 33222119 DOI: 10.1007/s11033-020-06003-3

The Nile rat (Arvicanthis niloticus) is a novel diurnal carbohydrate-sensitive rodent useful for studies on type 2 diabetes mellitus (T2DM) and the metabolic syndrome. Hepatic responses to T2DM and any interventions thereof can be evaluated via transcriptomic gene expression analysis. However, the study of gene expression via real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR) requires identification of stably expressed reference genes for accurate normalisation. This study describes the evaluation and identification of stable reference genes in the livers from Control Nile rats as well as those supplemented with Water-Soluble Palm Fruit Extract, which has been previously shown to attenuate T2DM in this animal model. Seven genes identified as having stable expression in RNA-Sequencing transcriptome analysis were chosen for verification using real-time RT-qPCR. Six commonly used reference genes from previous literature and two genes from a previous microarray gene expression study in Nile rats were also evaluated. The expression data of these 15 candidate reference genes were analysed using the RefFinder software which incorporated analyses performed by various algorithms. The Hpd, Pnpla6 and Vpp2 genes were identified as the most stable across the 36 samples tested. Their applicability was demonstrated through the normalisation of the gene expression profiles of two target genes, Cela1 and Lepr. In conclusion, three novel reference genes which can be used for robust normalisation of real-time RT-qPCR data were identified, thereby facilitating future hepatic gene expression studies in the Nile rat.

Matched MeSH terms: Transcriptome/drug effects
Relative quantification of human β‑defensins gene expression in pterygium and normal conjunctiva samples

Abubakar SA, Isa MM, Omar N, Tan SW

Mol Med Rep, 2020 Dec;22(6):4931-4937.
PMID: 33174018 DOI: 10.3892/mmr.2020.11560

The human ocular surface produces highly conserved cationic peptides. Human β‑defensins (HBDs) serve an important role in innate and adaptive immunity. They are primarily expressed in epithelial cells in response to infection and provide the first line of defence against invading microbes. Defensin β1 (DEFB1) is constitutively expressed and regulated by inflammatory mediators including interferon‑γ, lipopolysaccharide and peptidoglycans. DEFB4A is locally induced in response to microbial infection while DEFB109 is induced via Toll‑like receptor 2. The present study examined the expression of the HBD DEFB1, DEFB4A and DEFB109 genes in pterygium. The pterygium tissues and normal conjunctiva samples were obtained from 18 patients undergoing pterygium surgery. The reverse transcription‑quantitative polymerase chain reaction method was employed to determine the expression of DEFB1, DEFB4A and DEFB109 genes. The results revealed that the expression of DEFB1 and DEFB4A was significantly higher and upregulated in pterygium samples when compared with normal conjunctiva samples from each patient (P<0.05), while the expression of DEFB109 was observed to be lower in pterygium samples when compared with normal samples from the same patient. Previous studies have revealed that DEFB1 and DEFB4A genes are present in low concentrations inside the human eye, and they are upregulated during the maturation of keratinocytes, suggesting a possible role in cell differentiation. The DEFB109 gene is present in higher concentrations inside the human eye, though it is newly discovered. It has also been reported that DEFB1 may be involved in carcinogenesis epithelial tumours. Collectively, the current data suggests that HBDs may serve a crucial role in the pathogenesis and development of pterygia, and thus may be considered as novel molecular targets in understanding pterygia development.

Matched MeSH terms: Transcriptome/genetics
Fulltext Transcriptome analysis of chicken intraepithelial lymphocyte natural killer cells infected with very virulent infectious bursal disease virus

Boo SY, Tan SW, Alitheen NB, Ho CL, Omar AR, Yeap SK

Sci Rep, 2020 10 27;10(1):18348.
PMID: 33110122 DOI: 10.1038/s41598-020-75340-x

The infectious bursal disease (IBD) is an acute immunosuppressive viral disease that significantly affects the economics of the poultry industry. The IBD virus (IBDV) was known to infect B lymphocytes and activate macrophage and T lymphocytes, but there are limited studies on the impact of IBDV infection on chicken intraepithelial lymphocyte natural killer (IEL-NK) cells. This study employed an mRNA sequencing approach to investigate the early regulation of gene expression patterns in chicken IEL-NK cells after infection with very virulent IBDV strain UPM0081. A total of 12,141 genes were expressed in uninfected chicken IEL-NK cells, and most of the genes with high expression were involved in the metabolic pathway, whereas most of the low expressed genes were involved in the cytokine-cytokine receptor pathway. A total of 1,266 genes were differentially expressed (DE) at 3 day-post-infection (dpi), and these DE genes were involved in inflammation, antiviral response and interferon stimulation. The innate immune response was activated as several genes involved in inflammation, antiviral response and recruitment of NK cells to the infected area were up-regulated. This is the first study to examine the whole transcriptome profile of chicken NK cells towards IBDV infection and provides better insight into the early immune response of chicken NK cells.

Matched MeSH terms: Transcriptome
Fulltext De novo transcriptome analysis of Chlorella sorokiniana: effect of glucose assimilation, and moderate light intensity

Azaman SNA, Wong DCJ, Tan SW, Yusoff FM, Nagao N, Yeap SK

Sci Rep, 2020 Oct 15;10(1):17331.
PMID: 33060668 DOI: 10.1038/s41598-020-74410-4

Chlorella can produce an unusually wide range of metabolites under various nutrient availability, carbon source, and light availability. Glucose, an essential molecule for the growth of microorganisms, also contributes significantly to the metabolism of various metabolic compounds produced by Chlorella. In addition, manipulation of light intensity also induces the formation of secondary metabolites such as pigments, and carotenoids in Chlorella. This study will focus on the effect of glucose addition, and moderate light on the regulation of carotenoid, lipid, starch, and other key metabolic pathways in Chlorella sorokiniana. To gain knowledge about this, we performed transcriptome profiling on C. sorokiniana strain NIES-2168 in response to moderate light stress supplemented with glucose under mixotrophic conditions. A total of 60,982,352 raw paired-end (PE) reads 100 bp in length was obtained from both normal, and mixotrophic samples of C. sorokiniana. After pre-processing, 93.63% high-quality PE reads were obtained, and 18,310 predicted full-length transcripts were assembled. Differential gene expression showed that a total of 937, and 1124 genes were upregulated, and downregulated in mixotrophic samples, respectively. Transcriptome analysis revealed that the mixotrophic condition caused upregulation of genes involved in carotenoids production (specifically lutein biosynthesis), fatty acid biosynthesis, TAG accumulation, and the majority of the carbon fixation pathways. Conversely, starch biosynthesis, sucrose biosynthesis, and isoprenoid biosynthesis were downregulated. Novel insights into the pathways that link the enhanced production of valuable metabolites (such as carotenoids in C. sorokiniana) grown under mixotrophic conditions is presented.

Matched MeSH terms: Transcriptome*
Fulltext Understanding Host-Pathogen Interactions in Brassica napus in the Omics Era

Neik TX, Amas J, Barbetti M, Edwards D, Batley J

Plants (Basel), 2020 Oct 10;9(10).
PMID: 33050509 DOI: 10.3390/plants9101336

Brassica napus (canola/oilseed rape/rapeseed) is an economically important crop, mostly found in temperate and sub-tropical regions, that is cultivated widely for its edible oil. Major diseases of Brassica crops such as Blackleg, Clubroot, Sclerotinia Stem Rot, Downy Mildew, Alternaria Leaf Spot and White Rust have caused significant yield and economic losses in rapeseed-producing countries worldwide, exacerbated by global climate change, and, if not remedied effectively, will threaten global food security. To gain further insights into the host-pathogen interactions in relation to Brassica diseases, it is critical that we review current knowledge in this area and discuss how omics technologies can offer promising results and help to push boundaries in our understanding of the resistance mechanisms. Omics technologies, such as genomics, proteomics, transcriptomics and metabolomics approaches, allow us to understand the host and pathogen, as well as the interaction between the two species at a deeper level. With these integrated data in multi-omics and systems biology, we are able to breed high-quality disease-resistant Brassica crops in a more holistic, targeted and accurate way.

Matched MeSH terms: Transcriptome
Fulltext Transcriptome dataset from bark and latex tissues of three Hevea brasiliensis clones

Abu Bakar MF, Kamerkar U, Abdul Rahman SN, Muhd Sakaff MKL, Othman AS

Data Brief, 2020 Oct;32:106188.
PMID: 32904357 DOI: 10.1016/j.dib.2020.106188

Hevea brasiliensis is exploited for its latex production, and it is the only viable source of natural rubber worldwide. The demand for natural rubber remains high due its high-quality properties, which synthetic rubber cannot compete with. In this paper, we present transcriptomic data and analysis of three H. brasiliensis clones using tissue from latex and bark tissues collected from 10-year-old plant. The combined, assembled transcripts were mapped onto an H. brasiliensis draft genome. Gene ontology analysis showed that the most abundant transcripts related to molecular functions, followed by biological processes and cellular components. Simple sequence repeats (SSR) and single nucleotide polymorphisms (SNP) were also identified, and these can be useful for selection of parental and new clones in a breeding program. Data generated by RNA sequencing were deposited in the NCBI public repository under accession number PRJNA629890.

Matched MeSH terms: Transcriptome
Fulltext A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer

Zhong J, Jermusyk A, Wu L, Hoskins JW, Collins I, Mocci E, et al.

J Natl Cancer Inst, 2020 Oct 01;112(10):1003-1012.
PMID: 31917448 DOI: 10.1093/jnci/djz246

BACKGROUND: Although 20 pancreatic cancer susceptibility loci have been identified through genome-wide association studies in individuals of European ancestry, much of its heritability remains unexplained and the genes responsible largely unknown.
METHODS: To discover novel pancreatic cancer risk loci and possible causal genes, we performed a pancreatic cancer transcriptome-wide association study in Europeans using three approaches: FUSION, MetaXcan, and Summary-MulTiXcan. We integrated genome-wide association studies summary statistics from 9040 pancreatic cancer cases and 12 496 controls, with gene expression prediction models built using transcriptome data from histologically normal pancreatic tissue samples (NCI Laboratory of Translational Genomics [n = 95] and Genotype-Tissue Expression v7 [n = 174] datasets) and data from 48 different tissues (Genotype-Tissue Expression v7, n = 74-421 samples).
RESULTS: We identified 25 genes whose genetically predicted expression was statistically significantly associated with pancreatic cancer risk (false discovery rate < .05), including 14 candidate genes at 11 novel loci (1p36.12: CELA3B; 9q31.1: SMC2, SMC2-AS1; 10q23.31: RP11-80H5.9; 12q13.13: SMUG1; 14q32.33: BTBD6; 15q23: HEXA; 15q26.1: RCCD1; 17q12: PNMT, CDK12, PGAP3; 17q22: SUPT4H1; 18q11.22: RP11-888D10.3; and 19p13.11: PGPEP1) and 11 at six known risk loci (5p15.33: TERT, CLPTM1L, ZDHHC11B; 7p14.1: INHBA; 9q34.2: ABO; 13q12.2: PDX1; 13q22.1: KLF5; and 16q23.1: WDR59, CFDP1, BCAR1, TMEM170A). The association for 12 of these genes (CELA3B, SMC2, and PNMT at novel risk loci and TERT, CLPTM1L, INHBA, ABO, PDX1, KLF5, WDR59, CFDP1, and BCAR1 at known loci) remained statistically significant after Bonferroni correction.
CONCLUSIONS: By integrating gene expression and genotype data, we identified novel pancreatic cancer risk loci and candidate functional genes that warrant further investigation.

Matched MeSH terms: Transcriptome
Fulltext Comparative transcriptome analysis to identify candidate genes involved in 2-methoxy-1,4-naphthoquinone (MNQ) biosynthesis in Impatiens balsamina L

Foong LC, Chai JY, Ho ASH, Yeo BPH, Lim YM, Tam SM

Sci Rep, 2020 09 30;10(1):16123.
PMID: 32999341 DOI: 10.1038/s41598-020-72997-2

Impatiens balsamina L. is a tropical ornamental and traditional medicinal herb rich in natural compounds, especially 2-methoxy-1,4-naphthoquinone (MNQ) which is a bioactive compound with tested anticancer activities. Characterization of key genes involved in the shikimate and 1,4-dihydroxy-2-naphthoate (DHNA) pathways responsible for MNQ biosynthesis and their expression profiles in I. balsamina will facilitate adoption of genetic/metabolic engineering or synthetic biology approaches to further increase production for pre-commercialization. In this study, HPLC analysis showed that MNQ was present in significantly higher quantities in the capsule pericarps throughout three developmental stages (early-, mature- and postbreaker stages) whilst its immediate precursor, 2-hydroxy-1,4-naphthoquinone (lawsone) was mainly detected in mature leaves. Transcriptomes of I. balsamina derived from leaf, flower, and three capsule developmental stages were generated, totalling 59.643 Gb of raw reads that were assembled into 94,659 unigenes (595,828 transcripts). A total of 73.96% of unigenes were functionally annotated against seven public databases and 50,786 differentially expressed genes (DEGs) were identified. Expression profiles of 20 selected genes from four major secondary metabolism pathways were studied and validated using qRT-PCR method. Majority of the DHNA pathway genes were found to be significantly upregulated in early stage capsule compared to flower and leaf, suggesting tissue-specific synthesis of MNQ. Correlation analysis identified 11 candidate unigenes related to three enzymes (NADH-quinone oxidoreductase, UDP-glycosyltransferases and S-adenosylmethionine-dependent O-methyltransferase) important in the final steps of MNQ biosynthesis based on genes expression profiles consistent with MNQ content. This study provides the first molecular insight into the dynamics of MNQ biosynthesis and accumulation across different tissues of I. balsamina and serves as a valuable resource to facilitate further manipulation to increase production of MNQ.

Matched MeSH terms: Transcriptome/genetics*
Fulltext Identification and Analysis of microRNAs in Chlorella sorokiniana Using High-Throughput Sequencing

Azaman SNA, Satharasinghe DA, Tan SW, Nagao N, Yusoff FM, Yeap SK

Genes (Basel), 2020 09 25;11(10).
PMID: 32992970 DOI: 10.3390/genes11101131

Chlorella is a popular microalga with robust physiological and biochemical characteristics, which can be cultured under various conditions. The exploration of the small RNA content of Chlorella could improve strategies for the enhancement of metabolite production from this microalga. In this study, stress was introduced to the Chlorella sorokiniana culture to produce high-value metabolites such as carotenoids and phenolic content. The small RNA transcriptome of C. sorokiniana was sequenced, focusing on microRNA (miRNA) content. From the analysis, 98 miRNAs were identified in cultures subjected to normal and stress conditions. The functional analysis result showed that the miRNA targets found were most often involved in the biosynthesis of secondary metabolites, followed by protein metabolism, cell cycle, and porphyrin and chlorophyll metabolism. Furthermore, the biosynthesis of secondary metabolites such as carotenoids, terpenoids, and lipids was found mostly in stress conditions. These results may help to improve our understanding of regulatory mechanisms of miRNA in the biological and metabolic process of Chlorella species. It is important and timely to determine the true potential of this microalga species and to support the potential for genetic engineering of microalgae as they receive increasing focus for their development as an alternative source of biofuel, food, and health supplements.

Matched MeSH terms: Transcriptome*
Comparative transcriptomic profiling in HPV-associated cervical carcinogenesis: Implication of MHC class II and immunoglobulin heavy chain genes

Balasubramaniam SD, Wong KK, Oon CE, Balakrishnan V, Kaur G

Life Sci, 2020 Sep 01;256:118026.
PMID: 32615187 DOI: 10.1016/j.lfs.2020.118026

AIM: We aimed to determine the biological processes and pathways involved in cervical carcinogenesis associated with high-risk human papillomavirus (HPV) infection.
MATERIALS AND METHODS: Total RNA was extracted from three formalin-fixed paraffin-embedded (FFPE) samples each of normal cervix, HPV-infected low-grade squamous intraepithelial lesion (LSIL), high-grade SIL (HSIL) and squamous cell carcinoma (SCC). Transcriptomic profiling by microarrays was conducted followed by downstream Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses.
RESULTS: We examined the difference in GOs enriched for each transition stage from normal cervix to LSIL, HSIL, and SCC, and found 307 genes to be differentially expressed. In the transition from normal cervix to LSIL, the extracellular matrix (ECM) genes were significantly downregulated. The MHC class II genes were significantly upregulated in the LSIL to HSIL transition. In the final transition from HSIL to SCC, the immunoglobulin heavy locus genes were significantly upregulated and the ECM pathway was implicated.
CONCLUSION: Deregulation of the immune-related genes including MHC II and immunoglobulin heavy chain genes were involved in the transitions from LSIL to HSIL and SCC, suggesting immune escape from host anti-tumour response. The extracellular matrix plays an important role during the early and late stages of cervical carcinogenesis.

Matched MeSH terms: Transcriptome
Gonadal transcriptomic analysis of the mud crab Scylla olivacea infected with rhizocephalan parasite Sacculina beauforti

Waiho K, Fazhan H, Zhang Y, Afiqah-Aleng N, Moh JHZ, Ikhwanuddin M, et al.

Genomics, 2020 09;112(5):2959-2969.
PMID: 32437851 DOI: 10.1016/j.ygeno.2020.05.007

Infection by the rhizocephalan parasite Sacculina beauforti can have detrimental effects on mud crab Scylla olivacea. However, the molecular changes that occur during rhizocephalan infection are poorly understood. Due to the disruption in the reproductive system after infection, the gonadal transcriptomic profiles of non-infected and infected Scylla olivacea were compared. A total of 686 and 843 unigenes were differentially expressed between non-infected and infected males, and females, respectively. The number of DEGs increased after infection. By comparing shared DEGs of non-infected and infected individuals, potential immune- and reproduction-related of host, and immune- and metabolism-related genes of parasite are highlighted. The only shared KEGG pathway between non-infected and infected individuals was the ribosome pathway. In summary, findings in this study provide new insights into the host-parasite relationship of rhizocephalan parasites and their crustacean hosts.

Matched MeSH terms: Transcriptome
Fulltext Comprehensive proteomics data on whole rice grain of selected pigmented and non-pigmented rice varieties using SWATH-MS approach

Sew YS, Aizat WM, Razak MSFA, Zainal-Abidin RA, Simoh S, Abu-Bakar N

Data Brief, 2020 Aug;31:105927.
PMID: 32642524 DOI: 10.1016/j.dib.2020.105927

The proteome data of whole rice grain is considerably limited particularly for rice with pigmentations such as black and red rice. Hence, we performed proteome analysis of two black rice varieties (BALI and Pulut Hitam 9), two red rice varieties (MRM16 and MRQ100) and two white rice varieties (MR297 and MRQ76) using label-free liquid chromatography Triple TOF 6600 tandem mass spectrometry (LC-MS/MS). Our aim was to profile and identify proteins related to nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits based on peptide-centric scoring from the Sequential Window Acquisition of All Theoretical Mass Spectra (SWATH-MS) approach. Both information dependent acquisition (IDA) and SWATH-MS run were performed in this analysis. Raw data was then processed using ProteinPilot software to identify and compare proteins from the six different varieties. In future, this proteomics data will be integrated with previously obtained genomics [1] and transcriptomics [2] data focusing on the above nutritional and quality traits, with an ultimate aim to develop a panel of functional biomarkers related to those traits for future rice breeding programme. The raw MS data of the pigmented and non-pigmented rice varieties have been deposited to ProteomeXchange database with accession number PXD018338.

Matched MeSH terms: Transcriptome
Fulltext Blueberry red ringspot virus genomes from Florida inferred through analysis of blueberry root transcriptomes

Saad N, Alcalá-Briseño RI, Polston JE, Olmstead JW, Varsani A, Harmon PF

Sci Rep, 2020 Jul 21;10(1):12043.
PMID: 32694553 DOI: 10.1038/s41598-020-68654-3

A growing number of metagenomics-based approaches have been used for the discovery of viruses in insects, cultivated plants, and water in agricultural production systems. In this study, sixteen blueberry root transcriptomes from eight clonally propagated blueberry plants of cultivar 'Emerald' (interspecific hybrid of Vaccinium corymbosum and V. darrowi) generated as part of a separate study on varietal tolerance to soil salinity were analyzed for plant viral sequences. The objective was to determine if the asymptomatic plants harbored the latent blueberry red ringspot virus (BRRV) in their roots. The only currently known mechanism of transmission of BRRV is through vegetative propagation; however, the virus can remain latent for years with some plants of 'Emerald' never developing red ringspot symptoms. Bioinformatic analyses of 'Emerald' transcriptomes using de novo assembly and reference-based mapping approaches yielded eight complete viral genomes of BRRV (genus Soymovirus, family Caulimoviridae). Validation in vitro by PCR confirmed the presence of BRRV in 100% of the 'Emerald' root samples. Sequence and phylogenetic analyses showed 94% to 97% nucleotide identity between BRRV genomes from Florida and sequences from Czech Republic, Japan, Poland, Slovenia, and the United States. Taken together, this study documented the first detection of a complete BRRV genome from roots of asymptomatic blueberry plants and in Florida through in silico analysis of plant transcriptomes.

Matched MeSH terms: Transcriptome*
Fulltext Decoding the differentiation of mesenchymal stem cells into mesangial cells at the transcriptomic level

Wong CY, Chang YM, Tsai YS, Ng WV, Cheong SK, Chang TY, et al.

BMC Genomics, 2020 Jul 07;21(1):467.
PMID: 32635896 DOI: 10.1186/s12864-020-06868-5

BACKGROUND: Mesangial cells play an important role in the glomerulus to provide mechanical support and maintaine efficient ultrafiltration of renal plasma. Loss of mesangial cells due to pathologic conditions may lead to impaired renal function. Mesenchymal stem cells (MSC) can differentiate into many cell types, including mesangial cells. However transcriptomic profiling during MSC differentiation into mesangial cells had not been studied yet. The aim of this study is to examine the pattern of transcriptomic changes during MSC differentiation into mesangial cells, to understand the involvement of transcription factor (TF) along the differentiation process, and finally to elucidate the relationship among TF-TF and TF-key gene or biomarkers during the differentiation of MSC into mesangial cells.
RESULTS: Several ascending and descending monotonic key genes were identified by Monotonic Feature Selector. The identified descending monotonic key genes are related to stemness or regulation of cell cycle while ascending monotonic key genes are associated with the functions of mesangial cells. The TFs were arranged in a co-expression network in order of time by Time-Ordered Gene Co-expression Network (TO-GCN) analysis. TO-GCN analysis can classify the differentiation process into three stages: differentiation preparation, differentiation initiation and maturation. Furthermore, it can also explore TF-TF-key genes regulatory relationships in the muscle contraction process.
CONCLUSIONS: A systematic analysis for transcriptomic profiling of MSC differentiation into mesangial cells has been established. Key genes or biomarkers, TFs and pathways involved in differentiation of MSC-mesangial cells have been identified and the related biological implications have been discussed. Finally, we further elucidated for the first time the three main stages of mesangial cell differentiation, and the regulatory relationships between TF-TF-key genes involved in the muscle contraction process. Through this study, we have increased fundamental understanding of the gene transcripts during the differentiation of MSC into mesangial cells.

Matched MeSH terms: Transcriptome*
Naegleria fowleri: differential genetic expression following treatment with Hesperidin conjugated with silver nanoparticles using RNA-Seq

Siddiqui R, Rajendran K, Abdella B, Ayub Q, Lim SY, Khan NA

Parasitol Res, 2020 Jul;119(7):2351-2358.
PMID: 32451717 DOI: 10.1007/s00436-020-06711-6

Naegleria fowleri causes a deadly infection known as primary amoebic meningoencephalitis (PAM). To our knowledge, there are very few transcriptome studies conducted on these brain-eating amoebae, despite rise in the number of cases. Although the Naegleria genome has been sequenced, currently, it is not well annotated. Transcriptome level studies are needed to help understand the pathology and biology of this fatal parasitic infection. Recently, we showed that nanoparticles loaded with the flavonoid Hesperidin (HDN) are potential novel antimicrobial agents. N. fowleri trophozoites were treated with and without HDN-conjugated with silver nanoparticles (AgNPs) and silver only, and then, 50% minimum inhibitory concentration (MIC) was determined. The results revealed that the MIC of HDN-conjugated AgNPs was 12.5 microg/mL when treated for 3 h. As no reference genome exists for N. fowleri, de novo RNA transcriptome analysis using RNA-Seq and differential gene expression analysis was performed using the Trinity software. Analysis revealed that more than 2000 genes were differentially expressed in response to N. fowleri treatment with HDN-conjugated AgNPs. Some of the genes were linked to oxidative stress response, DNA repair, cell division, cell signalling and protein synthesis. The downregulated genes were linked with processes such as protein modification, synthesis of aromatic amino acids, when compared with untreated N. fowleri. Further transcriptome studies will lead to understanding of genetic mechanisms of the biology and pathogenesis and/or the identification of much needed drug candidates.

Matched MeSH terms: Transcriptome/genetics*
Fulltext Transcriptome Profiling of Haloxylon persicum (Bunge ex Boiss and Buhse) an Endangered Plant Species under PEG-Induced Drought Stress

Thayale Purayil F, Rajashekar B, S Kurup S, Cheruth AJ, Subramaniam S, Hassan Tawfik N, et al.

Genes (Basel), 2020 06 10;11(6).
PMID: 32531994 DOI: 10.3390/genes11060640

Haloxylon persicum is an endangered western Asiatic desert plant species, which survives under extreme environmental conditions. In this study, we focused on transcriptome analysis of H. persicum to understand the molecular mechanisms associated with drought tolerance. Two different periods of polyethylene glycol (PEG)-induced drought stress (48 h and 72 h) were imposed on H. persicum under in vitro conditions, which resulted in 18 million reads, subsequently assembled by de novo method with more than 8000 transcripts in each treatment. The N50 values were 1437, 1467, and 1524 for the control sample, 48 h samples, and 72 h samples, respectively. The gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis resulted in enrichment of mitogen-activated protein kinase (MAPK) and plant hormone signal transduction pathways under PEG-induced drought conditions. The differential gene expression analysis (DGEs) revealed significant changes in the expression pattern between the control and the treated samples. The KEGG analysis resulted in mapping transcripts with 138 different pathways reported in plants. The differential expression of drought-responsive transcription factors depicts the possible signaling cascades involved in drought tolerance. The present study provides greater insight into the fundamental transcriptome reprogramming of desert plants under drought.

Matched MeSH terms: Transcriptome/genetics*
Fulltext Quantitative MS-Based Proteomics: Comparing the MCF-7 Cellular Response to Hypoxia and a 2-Oxoglutarate Analogue

Bush JT, Chan MC, Mohammed S, Schofield CJ

Chembiochem, 2020 06 02;21(11):1647-1655.
PMID: 31919953 DOI: 10.1002/cbic.201900719

The hypoxia-inducible factors (HIFs) are key transcription factors in determining cellular responses involving alterations in protein levels in response to limited oxygen availability in animal cells. 2-Oxoglutarate-dependent oxygenases play key roles in regulating levels of HIF and its transcriptional activity. We describe MS-based proteomics studies in which we compared the results of subjecting human breast cancer MCF-7 cells to hypoxia or treating them with a cell-penetrating derivative (dimethyl N-oxalylglycine; DMOG) of the stable 2OG analogue N-oxalylglycine. The proteomic results are consistent with reported transcriptomic analyses and support the proposed key roles of 2OG-dependent HIF prolyl- and asparaginyl-hydroxylases in the hypoxic response. Differences between the data sets for hypoxia and DMOG might reflect context-dependent effects or HIF-independent effects of DMOG.

Matched MeSH terms: Transcriptome*
Transcriptome-wide identification and characterization of the Rab GTPase family in mango

Lawson T, Lycett GW, Mayes S, Ho WK, Chin CF

Mol Biol Rep, 2020 Jun;47(6):4183-4197.
PMID: 32444976 DOI: 10.1007/s11033-020-05519-y

The Rab GTPase family plays a vital role in several plant physiological processes including fruit ripening. Fruit softening during ripening involves trafficking of cell wall polymers and enzymes between cellular compartments. Mango, an economically important fruit crop, is known for its delicious taste, exotic flavour and nutritional value. So far, there is a paucity of information on the mango Rab GTPase family. In this study, 23 genes encoding Rab proteins were identified in mango by a comprehensive in silico approach. Sequence alignment and similarity tree analysis with the model plant Arabidopsis as a reference enabled the bona fide assignment of the deduced mango proteins to classify into eight subfamilies. Expression analysis by RNA-Sequencing (RNA-Seq) showed that the Rab genes were differentially expressed in ripe and unripe mangoes suggesting the involvement of vesicle trafficking during ripening. Interaction analysis showed that the proteins involved in vesicle trafficking and cell wall softening were interconnected providing further evidence of the involvement of the Rab GTPases in fruit softening. Correlation analyses showed a significant relationship between the expression level of the RabA3 and RabA4 genes and fruit firmness at the unripe stage of the mango varieties suggesting that the differences in gene expression level might be associated with the contrasting firmness of these varieties. This study will not only provide new insights into the complexity of the ripening-regulated molecular mechanism but also facilitate the identification of potential Rab GTPases to address excessive fruit softening.

Matched MeSH terms: Transcriptome/genetics
Fulltext RNA-seq data from whole rice grains of pigmented and non-pigmented Malaysian rice varieties

Zainal-Abidin RA, Zainal Z, Mohamed-Hussein ZA, Abu-Bakar N, Ab Razak MSF, Simoh S, et al.

Data Brief, 2020 Jun;30:105432.
PMID: 32280737 DOI: 10.1016/j.dib.2020.105432

Pigmented rice is enriched with antioxidants, macro- and micronutrients. A comprehensive investigation of the gene expression patterns among the pigmented rice varieties would help to understand the cellular mechanism and biological processes of rice grain pigmentation. Hence, we performed RNA sequencing and analysis on the whole grain of dehusked mature seeds of selected six Malaysian rice varieties with varying grain pigmentations. These varieties were black rice (BALI and Pulut Hitam 9), red rice (MRM16 and MRQ100) and white rice (MR297 and MRQ76). Illumina HiSeq™ 4000 sequencer was used to generate total raw nucleotides of approximately 53 Gb in size. From 353,937,212 total paired-end raw reads, 340,131,496 total clean reads were obtained. The raw reads were deposited into European Nucleotide Archive (ENA) database and can be accessed via accession number PRJEB34340. This dataset allows us to identify and profile all expressed genes with functions related to nutritional traits (i.e. antioxidants, folate and amylose content) and quality trait (i.e. aroma) across both pigmented and non-pigmented rice varieties. In addition, the transcriptome data obtained will be valuable for discovery of potential gene markers and functional SNPs related to functional traits to assist in rice breeding programme.

Matched MeSH terms: Transcriptome
Fulltext Transcriptome-wide shift from photosynthesis and energy metabolism upon endogenous fluid protein depletion in young Nepenthes ampullaria pitchers

Goh HH, Baharin A, Mohd Salleh F', Ravee R, Wan Zakaria WNA, Mohd Noor N

Sci Rep, 2020 04 20;10(1):6575.
PMID: 32313042 DOI: 10.1038/s41598-020-63696-z

Carnivorous pitcher plants produce specialised pitcher organs containing secretory glands, which secrete acidic fluids with hydrolytic enzymes for prey digestion and nutrient absorption. The content of pitcher fluids has been the focus of many fluid protein profiling studies. These studies suggest an evolutionary convergence of a conserved group of similar enzymes in diverse families of pitcher plants. A recent study showed that endogenous proteins were replenished in the pitcher fluid, which indicates a feedback mechanism in protein secretion. This poses an interesting question on the physiological effect of plant protein loss. However, there is no study to date that describes the pitcher response to endogenous protein depletion. To address this gap of knowledge, we previously performed a comparative RNA-sequencing experiment of newly opened pitchers (D0) against pitchers after 3 days of opening (D3C) and pitchers with filtered endogenous proteins (>10 kDa) upon pitcher opening (D3L). Nepenthes ampullaria was chosen as a model study species due to their abundance and unique feeding behaviour on leaf litters. The analysis of unigenes with top 1% abundance found protein translation and stress response to be overrepresented in D0, compared to cell wall related, transport, and signalling for D3L. Differentially expressed gene (DEG) analysis identified DEGs with functional enrichment in protein regulation, secondary metabolism, intracellular trafficking, secretion, and vesicular transport. The transcriptomic landscape of the pitcher dramatically shifted towards intracellular transport and defence response at the expense of energy metabolism and photosynthesis upon endogenous protein depletion. This is supported by secretome, transportome, and transcription factor analysis with RT-qPCR validation based on independent samples. This study provides the first glimpse into the molecular responses of pitchers to protein loss with implications to future cost/benefit analysis of carnivorous pitcher plant energetics and resource allocation for adaptation in stochastic environments.

Matched MeSH terms: Transcriptome/genetics*

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