Displaying publications 61 - 80 of 285 in total

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  1. Makita Y, Ng KK, Veera Singham G, Kawashima M, Hirakawa H, Sato S, et al.
    DNA Res, 2017 Apr 01;24(2):159-167.
    PMID: 28431015 DOI: 10.1093/dnares/dsw056
    Natural rubber has unique physical properties that cannot be replaced by products from other latex-producing plants or petrochemically produced synthetic rubbers. Rubber from Hevea brasiliensis is the main commercial source for this natural rubber that has a cis-polyisoprene configuration. For sustainable production of enough rubber to meet demand elucidation of the molecular mechanisms involved in the production of latex is vital. To this end, we firstly constructed rubber full-length cDNA libraries of RRIM 600 cultivar and sequenced around 20,000 clones by the Sanger method and over 15,000 contigs by Illumina sequencer. With these data, we updated around 5,500 gene structures and newly annotated around 9,500 transcription start sites. Second, to elucidate the rubber biosynthetic pathways and their transcriptional regulation, we carried out tissue- and cultivar-specific RNA-Seq analysis. By using our recently published genome sequence, we confirmed the expression patterns of the rubber biosynthetic genes. Our data suggest that the cytoplasmic mevalonate (MVA) pathway is the main route for isoprenoid biosynthesis in latex production. In addition to the well-studied polymerization factors, we suggest that rubber elongation factor 8 (REF8) is a candidate factor in cis-polyisoprene biosynthesis. We have also identified 39 transcription factors that may be key regulators in latex production. Expression profile analysis using two additional cultivars, RRIM 901 and PB 350, via an RNA-Seq approach revealed possible expression differences between a high latex-yielding cultivar and a disease-resistant cultivar.
    Matched MeSH terms: Transcriptome*
  2. 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
  3. Matra DD, Ritonga AW, Natawijaya A, Poerwanto R, Sobir, Widodo WD, et al.
    Data Brief, 2019 Feb;22:332-335.
    PMID: 30596128 DOI: 10.1016/j.dib.2018.12.031
    Baccaurea motleyana Müll. Arg. (rambai) is one of the underutilized fruit natives to Indonesia, Thailand, and Malaya Peninsula and it is mostly cultivated in Java island (Lim, 2012) [1]. The edible part of fruits is white and reddish arillodes in which having sweet to acid-sweet tastes. However, nucleotide as well as transcriptome information of this species is still scarce, no information has been deposited in GenBank. In this data article, we performed for the first time of de novo assembly of transcriptome using paired-end Illumina technology. The assembled contigs were constructed using Trinity and after filtering and clustering, produced 37,077 contigs. The contig ranged 201-4972 bp and N50 has 696 bp. The contig was annotated with several database such as SwissProt, TrEMBL, nr and nt NCBI databases. The raw reads were deposited in DDBJ with DRA numbers, DRA007358. The assembled contigs of transcriptome are deposited in the DDBJ TSA with accession number, IADP01000001-IADP01037077 and also can be accessed at http://rujakbase.id.
    Matched MeSH terms: Transcriptome
  4. Othman NQ, Sulaiman S, Lee YP, Tan JS
    Data Brief, 2019 Aug;25:104288.
    PMID: 31453289 DOI: 10.1016/j.dib.2019.104288
    To date, Ganoderma boninense is known to be the causal agent of basal stem rot (BSR) disease in oil palm (Elaeis guineensis). This disease causes rotting in the roots, basal and upper stem of oil palm. Infection causes progressive destruction of the basal tissues at the oil palm trunk and internal dry rotting, particularly at the intersection between the bole and trunk. Molecular responses of oil palm during infection are not well study although this information is crucial to strategize effective measures to control or eliminate BSR. Here we report three sets of transcriptome data from samples of near-rot section of basal stem tissue of oil palm tree infected with G. boninense (IPIT), healthy section of basal stem tissue of the same G. boninense infected palm (IPHT) and the healthy section of basal stem tissue of the healthy palm (HPHT). The raw reads were deposited into NCBI database and can be accessed via BioProject accession number PRJNA530030.
    Matched MeSH terms: Transcriptome
  5. Nor Muhammad NA, Ramlee IA, Mohd Nor D, Satyavenathan MV, Rahmat NL, Awang A, et al.
    Data Brief, 2021 Feb;34:106638.
    PMID: 33365368 DOI: 10.1016/j.dib.2020.106638
    Cocoa bean (Theobroma cacao L.) is part of the global cocoa and chocolate industry valued at 44 billion US dollars in 2019. Cocoa pod borer (CPB), Conopomorpha cramerella is a major pest of cocoa in Malaysia and Indonesia that is responsible for the decline for cocoa production. They have been detected since 1980s. Unfortunately, current control strategies are inefficient for CPB management. Although biotechnological alternatives, including RNA interference (RNAi), have been proposed in recent years to control insect pests, characterizing the genetics of the target pest is essential for successful application of these emerging technologies. We generated a comprehensive RNA-seq dataset (135,915,430 clean reads) for larva and adult stages of CPB by using the Illumina HiseqTM 4000 system to increase the understanding of CPB in relation to molecular features. The CPB transcriptome was assembled de novo and annotated. The final assembled produced 249,280 unigenes, of which 75,929 unigenes annotated against NCBI NR database and were distributed among 156 KEGG pathways. The raw data were uploaded to SRA database and the BioProject ID is PRJNA553611. The transcriptomic dataset we present are the first reports of transcriptome information in CPB that is valuable for further exploration and understanding of CPB molecular pathways.
    Matched MeSH terms: Transcriptome
  6. Othman R, Abd Rasib AA, Ilias MA, Murthy S, Ismail N, Mohd Hanafi N
    Data Brief, 2019 Jun;24:103824.
    PMID: 30984808 DOI: 10.1016/j.dib.2019.103824
    Eucheuma denticulatum or commonly known as "Spinosum", is an economically important red alga that naturally grows on coral reefs with moderately strong currents in tropical and sub-tropical areas. This species is the primary source of iota-carrageenan which has high demands in the food, pharmaceutical and manufacturing industries, and as such it has been widely cultivated. The increasing global demand for carrageenan has led to extensive commercial cultivation of carrageenophytes mainly in the tropics. The carrageenophyte seaweeds including E. denticulatum are indigenous to Sabah, Malaysia. To enrich the information on the genes involved in carrageenan biosynthesis, RNA sequencing has been performed and transcriptomic dataset has been generated using Illumina HiSeq™ 2000 sequencer. The raw data and transcriptomic data have been deposited in NCBI database with the accession number PRJNA477734. These data will provide valuable resources for functional genomics annotation and investigation of mechanisms underlying the regulations of genes in this algal species.
    Matched MeSH terms: Transcriptome
  7. 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
  8. Isaac IL, Walter AWCY, Bakar MFA, Idris AS, Bakar FDA, Bharudin I, et al.
    Data Brief, 2018 Apr;17:1108-1111.
    PMID: 29876468 DOI: 10.1016/j.dib.2018.02.027
    Ganoderma boninense is known to be the causal agent for basal stem rot (BSR) affecting the oil palm industry worldwide thus cumulating to high economic losses every year. Several reports have shown that a compatible monokaryon pair needs to mate; producing dikaryotic mycelia to initiate the infection towards the oil palm. However, the molecular events occurs during mating process are not well understood. We performed transcriptome sequencing using Illumina RNA-seq technology and de novo assembly of the transcripts from monokaryon, mating junction and dikaryon mycelia of G. boninense. Raw reads from these three libraries were deposited in the NCBI database with accession number SRR1745787, SRR1745773 and SRR1745777, respectively.
    Matched MeSH terms: Transcriptome
  9. Govender N, Senan S, Mohamed-Hussein ZA, Isa MNM, Yaakob Z, Ratnam W
    Data Brief, 2018 Dec;21:71-74.
    PMID: 30338276 DOI: 10.1016/j.dib.2018.09.081
    Jatropha curcas L. or the physic nut is a monoecious shrub belonging to the Euphorbiaceae family. The plant is an ideal feedstock for biodiesel production; oil-rich seed (37-42%), has a broad range of growth habitat such as arid, semi-arid and tropical and a relatively feasible process for conversion of crude oil into biodiesel. The major constraint affecting the success of large-scale J. curcas plantation is seed yield inconsistency. Numerous research projects conducted on J. curcas with integrated genetic, genomic and transcriptomic approaches have been applied on the leaf, apical meristem, flower, root and fruit tissues. However, to date, no genomics data of J. curcas shoot system are publicly available, despite its importance in understanding flowering, fruiting and seed set qualities targeted for yield improvement. Here, we present eighteen sets of shoot and inflorescence transcriptomes generated from J. curcas plants with contrasting yields. Raw reads of the RNA-seq data are found in NCBI׳s Sequence Read Archive (SRA) database with the accession number SRP090662 (https://www.ncbi.nlm.nih.gov/sra/?term=SRP090662). This transcriptomic data could be integrated with the present genomic resources for in depth understanding of J. curcas reproductive system.
    Matched MeSH terms: Transcriptome
  10. Taheri S, Abdullah TL, Noor YM, Padil HM, Sahebi M, Azizi P
    Data Brief, 2018 Aug;19:2452-2454.
    PMID: 30246104 DOI: 10.1016/j.dib.2018.07.038
    Curcuma alismatifolia, is an Asian crop from Zingiberaceae family, popularly used as ornamental plant in floriculture industry of Thailand and Cambodia. Different varieties with a wide range of colors can be found in species. Until now, few breeding programs have been done on this species and most commercially important cultivars are hybrids that are propagated vegetatively. In spite of other flowering plants, there is still lack of transcriptomic-based data on the functions of genes related to flower color in C. alismatifolia. The raw data presented in this article provides information on new original transcriptome data of two cultivars of C. alismatifolia by Illumina Hiseq. 4000 RNA-Seq technology which is the first ever report about this plant. The data is accessible via European Nucleotide Archive (ENA) under project number PRJEB18956.
    Matched MeSH terms: Transcriptome
  11. Samsulrizal NH, Khadzran KS, Shaarani SH, Noh AL, Sundram TC, Naim MA, et al.
    Data Brief, 2020 Feb;28:104811.
    PMID: 31871974 DOI: 10.1016/j.dib.2019.104811
    Stevia rebaudiana (S. rebaudiana) is a herbaceous and perennial plant belonging to Asteraceae family. The genus stevia is well known as a natural producer of sweetener comprising non-caloric and non-carcinogenic steviol glycosides. In recent years, the capability in producing natural sweetner has increased the demand for S. rebaudiana as substitute of processed sugars. Flowering phase of S. rebaudiana has shown to affect the content of steviol glycosides in the leaves. Steviol glycosides level is the highest at the time of flower bud formation and lowest at time preceding and following flower bud formation. Therefore, sequencing and analysing the genes that are involved in flowering phase will provide platform for gene manipulation in increasing steviol glycosides content. The Stevia transcriptome data that include two stages of growth (before flowering and after flowering), were obtained using Illumina RNA-seq technology and can be accessed at NCBI Sequence Read Archive under Accession No. SRX6362785 and SRX6362784.
    Matched MeSH terms: Transcriptome
  12. Tamizi AA, Nazaruddin NH, Yeong WC, Mohd Radzi MF, Jaafar MA, Sekeli R
    Data Brief, 2020 Apr;29:105235.
    PMID: 32071998 DOI: 10.1016/j.dib.2020.105235
    Heterotrigona itama is a species of stingless bee recently domesticated (or reared) for honey production in a few Southeast Asian countries namely Malaysia and Indonesia. Being categorized in the clade Corbiculata together with the honeybees (Apis spp.) and bumble bees (Bombus spp.), the stingless bees are highly social in which the colony members are subjected to labor division where a queen functions as the reproductive caste. In this data article, we provide a resource encompassing a transcriptome profile (de novo assembled) from H. itama queen larva - the first report of transcriptome assembly for this species. The generated data is pivotal for the characterization of important genes and biological pathways in order to further improve our understanding on the developmental biology, behavior, social structure and ecological needs of this eusocial hymenopteran insect from the molecular aspect. The raw RNA sequencing data is available at NCBI Sequence Read Archive (SAR) under the accession number SRP230250 and the assembled reads are deposited at DDBJ/EMBL/Genbank as Transcriptome Shotgun Assembly (TSA) under the accession GIIH00000000.
    Matched MeSH terms: Transcriptome
  13. Foong LC, Ho ASH, Yeo BPH, Lim YM, Tam SM
    Data Brief, 2019 Apr;23:103603.
    PMID: 30815523 DOI: 10.1016/j.dib.2018.12.042
    Impatiens balsamina is both an ornamental and pharmacologically important plant widely distributed in many Asian countries. The leaf of the plant contains many secondary metabolites possessing anti-microbial, anti-tumour and anti-cancer properties. Though there are many phytochemical studies done on the different natural extracts for this plant, not much of genetic information is currently available. This is the first transcriptome of I. balsamina leaf using paired-end Illumina HiSeq sequencing which generated 10.79 GB of raw data. Information of pre-processing (reads filtering), de novo assembly and functional annotation are presented. This data is accessible via NCBI BioProject (PRJNA505711).
    Matched MeSH terms: Transcriptome
  14. 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
  15. Azlan NDK, Isa MNM, Zainal Z
    Data Brief, 2017 Oct;14:548-550.
    PMID: 28861452 DOI: 10.1016/j.dib.2017.07.064
    Garcinia mangostana is a tropical fruit plant rich in antioxidant and bears recalcitrant seeds. The extent of water loss and low temperature tolerable by recalcitrant seed varies from regular orthodox seeds. Present study generates transcriptome resources for G. mangostana to postulate potential transcriptome differences between recalcitrant and orthodox seeds during seed germination process. Raw reads of pooled samples used for the assembly have been deposited in genbank accession SRR5412332.
    Matched MeSH terms: Transcriptome
  16. Tan LW, Tan CS, Rahman ZA, Goh HH, Ismail I, Zainal Z
    Data Brief, 2017 Oct;14:267-271.
    PMID: 28795104 DOI: 10.1016/j.dib.2017.07.047
    The dataset presented in this article describes microarray experiment of Auxin-binding protein 57, Abp57-overexpressing transgenic rice. The gene expression profiles were generated using Affymetrix GeneChip® Rice (Cn) Gene 1.0 ST Arrays. Total RNA from seedlings tissue of transgenic rice and wildtype, which serve as control were used as starting materials for microarray experiment. Detailed experimental methods and data analysis were described here. The raw and normalized microarray data were deposited into Gene Expression Omnibus (GEO) under accession number GSE99055.
    Matched MeSH terms: Transcriptome
  17. Toni B, Monfared HH, Mat Isa MN, Md Isa N, Ismail I, Zainal Z
    Data Brief, 2017 Oct;14:260-266.
    PMID: 28795103 DOI: 10.1016/j.dib.2017.07.043
    Drought stress is the main abiotic factor affecting rice production. Rain-fed upland rice which is grown on unbounded fields and totally dependent on rainfall for moisture is more prone to drought stress compared to rice from other ecosystems. However, upland rice has adapted to this limited water condition, thus are more drought tolerant than rice from other ecosystems. We performed the first transcriptome sequencing of drought tolerant indica upland rice cultivar Kuku Belang to identify differentially expressed genes related to drought tolerance mechanism. Raw reads for non-treated and PEG-treated Oryza sativa subspecies indica cv. Kuku Belang were deposited in the NCBI SRA database with accession number SRP074520 (https://www.ncbi.nlm.nih.gov/sra?term=SRP074520).
    Matched MeSH terms: Transcriptome
  18. Ilias IA, Airianah OB, Baharum SN, Goh HH
    Data Brief, 2017 Dec;15:320-323.
    PMID: 29214193 DOI: 10.1016/j.dib.2017.09.050
    Expansin increases cell wall extensibility to allow cell wall loosening and cell expansion even in the absence of hydrolytic activity. Previous studies showed that excessive overexpression of expansin gene resulted in defective growth (Goh et al., 2014; Rochange et al., 2001) [1,2] and altered cell wall chemical composition (Zenoni et al., 2011) [3]. However, the molecular mechanism on how the overexpression of non-enzymatic cell wall protein expansin can result in widespread effects on plant cell wall and organ growth remains unclear. We acquired transcriptomic data on previously reported transgenic Arabidopsis line (Goh et al., 2014) [1] to investigate the effects of overexpressing a heterologus cucumber expansin gene (CsEXPA1) on the global gene expression pattern during early and late phases of etiolated hypocotyl growth.
    Matched MeSH terms: Transcriptome
  19. Mazlan O, Abdul-Rahman A, Goh HH, Aizat WM, Mohd Noor N
    Data Brief, 2018 Feb;16:90-93.
    PMID: 29188226 DOI: 10.1016/j.dib.2017.11.001
    Mangosteen (Garcinia mangostana L.) has exceptional potential for commercial and pharmaceutical applications due to its delicious fruit and medicinal properties. Nevertheless, the molecular mechanism of mangosteen seed development is poorly understood. In this study, we performed transcriptomic analysis of four seed developmental stages; eight, ten, twelve and fourteen weeks after anthesis. Illumina HiSeq™ 4000 sequencer was used to generate raw data of approximately 68 Gb in size. From 451,495,326 raw reads, 406,143,756 clean reads were obtained. The raw data were uploaded to SRA database and the BioProject ID is PRJNA395504. These data provide the basis for further exploration and understanding of the molecular mechanism in mangosteen seed development.
    Matched MeSH terms: Transcriptome
  20. Jazamuddin FM, Aizat WM, Goh HH, Low CF, Baharum SN
    Data Brief, 2018 Feb;16:466-469.
    PMID: 29255779 DOI: 10.1016/j.dib.2017.11.024
    Vibriosis disease by Vibrio spp. greatly reduced productivity of aquaculture, such as brown-marbled grouper (Epinephelus fuscoguttatus), which is an economically important fish species in Malaysia. Preventive measures and immediate treatment are critical to reduce the mortality of E. fuscoguttatus from vibriosis. To investigate the molecular mechanisms associated with immune response and host-bacteria interaction, a transcriptomic analysis was performed to compare between healthy and Vibrio-infected groupers. This permits the discovery of immune-related genes, specifically the resistance genes upon infection. Herein, we provide the raw transcriptome data from Illumina HiSeq. 4000 that have been deposited into NCBI SRA database with the BioProject accession number PRJNA396437. A total of 493,403,076 raw sequences of 74.5 Gb were obtained. Trimming of the raw data produced 437,186,232 clean reads of ~58 Gb. These datasets will be useful to elucidate the defence mechanisms of E. fuscoguttatus against Vibrio vulnificus infection for future development of effective prevention and treatment of vibriosis.
    Matched MeSH terms: Transcriptome
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