Displaying publications 1 - 20 of 368 in total

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  1. Yusoff ZM, Ismail N, Nordin SA
    Data Brief, 2024 Jun;54:110310.
    PMID: 38544913 DOI: 10.1016/j.dib.2024.110310
    Research on Agarwood Essential Oils (AEO) has undergone dynamic evolution, propelled by its diverse applications in industries such as perfumery, pharmaceuticals, and alternative medicine. The aromatic richness and therapeutic potential of these essential oils have sparked a surge in research interest. Despite extensive exploration, there is a need for a comprehensive analysis of trends, patterns, and the impact of AEO research to provide insights for future studies and applications.This work presents a meticulously curated dataset encompassing the last five years of Agarwood Essential Oil (AEO) research trends. Sourced from two reputable scholarly databases, namely Web of Science and Scopus, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, analyzing the data using Biblioshiny, and spanning the period from 2019 to 2023, the dataset is designed to facilitate a comprehensive understanding of the evolving landscape of AEO studies. It covers a wide array of parameters, including authorship, subject areas, citations, source titles, wordcloud, and keywords. This dataset is made available to researchers, institutions, and decision-makers to provide insights into the academic debates on agarwood oil studies, allowing for a nuanced understanding of the progression of scholarly endeavors within the field. The dataset aims to serve as a valuable resource for researchers, policymakers, and industry stakeholders interested in the multifaceted applications of essential oils. The structured and comprehensive nature of the dataset makes it a valuable asset for exploring historical trends, identifying key contributors, and fostering collaborative initiatives within the AEO research domain.
  2. Eliyana A, Sridadi AR, Yuwono H, Yuspahruddin A, Pratama AS, Hasib FF, et al.
    Data Brief, 2024 Apr;53:110211.
    PMID: 38419769 DOI: 10.1016/j.dib.2024.110211
    This dataset contains data from a survey of officers in correctional institutions throughout Indonesia. A total of 1284 officers completed the survey regarding their self-assessment of proactive work behavior, perceived organizational support, person-environment fit, proactive personality, and role breadth self-efficacy. In addition to raw data, this dataset presents the characteristics of respondents, a description of respondents' answers, and statistical validation of this survey data. This dataset can be reused by researchers for the evaluation of factors that encourage proactive behavior in the correctional context. In addition, this dataset can be utilized by policy makers related to human resource management in correctional institutions in Indonesia.
  3. Peng TC, Lavin P, Pedraza RO, Fierro-Vásquez N, Purcarea C, Yong ST, et al.
    Data Brief, 2024 Apr;53:110143.
    PMID: 38419763 DOI: 10.1016/j.dib.2024.110143
    Here, we report the draft genome sequence and assembly of the Penicillium sp. strain E22, which was isolated from Antarctic soil of Deception Island, South Shetland Islands close to the Antarctic Peninsula. The genome was sequenced using a 2 # 250 bp paired-end method by Illumina MiSeq 6000. The genome assembly was performed using softwares implemented in the Kbase web service. The phylogenetic tree of strain E22 comparing its internal transcribed spacer (ITS) region with the other Penicillium showed high genetic similarity to Penicillium griseofulvum MN545450 and Penicillium camemberti MT530220. Draf genome of Penicillium sp. strain E22 comprises 33,653 coding sequences, with a high G + C content of 48.32% and a total size of 37,484,944 bp. This draft genome assembly version has been deposited at GenBank under accession JASJUN000000000.
  4. Yahia HAM, Mohammed AA, Eissa T, Albrka SI, Ladin MA, Jashami H
    Data Brief, 2024 Apr;53:110184.
    PMID: 38406255 DOI: 10.1016/j.dib.2024.110184
    Road traffic accidents constitute the primary cause of fatalities associated with injuries and engender substantial economic ramifications for affected individuals, their families, and entire nations. The Sultanate of Oman, like other countries, suffers from traffic accident injuries and traffic congestion. The accident rate for the period 2021 was recorded as one accident every six hours. Despite a 70% increase in total number of vehicles and an 81% rise in licensed drivers between 2012 and 2019, data on traffic accidents demonstrate an improving trend with a notable 55% decline in crash fatalities. However, it is important to recognize that road traffic accidents in Oman encompass not only social issues but also pose a significant economic burden, resulting in substantial financial costs for the nation. Notwithstanding, it was discovered that more than 50% of fatal crashes in Oman were primarily caused by excessive speeding. The main goal of this research is to analysis the causes and trends of traffic accidents at the national level in the Sultanate of Oman. Data analysis reveals speed as the primary cause of traffic accidents in Oman, with Muscat and Dhofar registering the highest accident rates. In addition, the distribution of deaths and injuries resulting from accidents varies according to Gender and nationality. According to the road accident scenario analysis in the state, more traffic accidents occurred in males than females. Traffic accidents have witnessed a notable decline over the past decade, attributable to the diligent efforts and interventions implemented by the Royal Oman Police.
  5. Yusoff ZM, Ismail N
    Data Brief, 2024 Apr;53:110209.
    PMID: 38419767 DOI: 10.1016/j.dib.2024.110209
    Aquilaria oil, specifically agarwood oil, is esteemed for its unique fragrance and potential therapeutic qualities, primarily attributed to the presence of significant chemical compounds. These compounds play a vital role in shaping the quality and attributes of Aquilaria oil. The distinct aroma, characterized by intricate, woody, and multifaceted notes, originates directly from specific sesquiterpenes, with notable contributors like agarospirol defining this aromatic profile. The richness and complexity of the oil's scent are closely linked to the concentration and variety of noteworthy compounds within it. Oils containing a diverse range of sesquiterpenes are often considered superior, providing a more refined olfactory experience. This dataset presents a statistical analysis of the chemical compounds present in agarwood oil obtained through the hydrodistillation method from three distinct Aquilaria (A.) species: A. crassna, A. malaccensis, and A. subintegra. The analysis of these chemical compounds utilized Gas Chromatography-Mass Spectrometer (GC-MS) coupled with Gas Chromatography - Flame Ionization Detector (GC-FID). This study's data is crucial for highlighting compounds that contribute to the significance of agarwood oil as a valuable and versatile natural resource. This significance is emphasized by the oil's diverse applications and distinctive chemical composition.
  6. Azad AK, Sulaiman WMAW, Almoustafa H, Dayoob M, Kumarasamy V, Subramaniyan V, et al.
    Data Brief, 2024 Apr;53:110202.
    PMID: 38439989 DOI: 10.1016/j.dib.2024.110202
    5-Fluorouracil (5-FU) has been the primary drug used in chemotherapy for colorectal carcinoma, and localizing the drug would be effective in avoiding its side effects and improving therapeutic outcomes. One approach to achieve this is by encapsulating the drug in microbeads. Alginate microbeads, in particular, exhibit promising pH-sensitive properties, making them an attractive option for colon targeting. Thus, the main aim of this study is to formulate and characterize 5-FU-encapsulated alginate microbeads as a pH-sensitive drug delivery system for controlled release in the gastrointestinal tract. In this study, the alginate microbeads encapsulating 5-FU was manufactured using electrospray methods. This method offers the advantages of promoting the formulation of uniformly small-sized microbeads with improved performance in terms of swelling and diffusion rates. The size and shape of the 5-FU microbeads are 394.23 ± 3.077 µm and have a spherical factor of 0.026 ± 0.022, respectively, which are considered acceptable and indicative of a spherical shape. The microbeads' encapsulation efficiency was found to be 69.65 ± 0.18%, which is considered high in comparison to other literature. The attenuated total reflectance - Fourier transform infrared spectroscopy (ATR-FTIR) data confirmed the complexation of sodium alginate with calcium ions, along with the encapsulation of 5-FU in the microbeads matrix. The 5-FU microbeads displayed pH-dependent swelling, exhibiting less swelling in simulated gastric fluid (SGF) than in simulated intestinal fluid (SIF). Additionally, the release of 5-FU from the microbeads is pH-dependent, with the cumulative percentage drug release being higher in simulated intestinal fluid than in SGF. The data indicate that the 5-FU microbeads can be utilized for the delivery of 5-FU in colon-targeted therapy, potentially leading to improved tumor treatment.
  7. Faheem M, Al-Khasawneh MA, Khan AA, Madni SHH
    Data Brief, 2024 Apr;53:110212.
    PMID: 38439994 DOI: 10.1016/j.dib.2024.110212
    Blockchain-based reliable, resilient, and secure communication for Distributed Energy Resources (DERs) is essential in Smart Grid (SG). The Solana blockchain, due to its high stability, scalability, and throughput, along with low latency, is envisioned to enhance the reliability, resilience, and security of DERs in SGs. This paper presents big datasets focusing on SQL Injection, Spoofing, and Man-in-the-Middle (MitM) cyberattacks, which have been collected from Solana blockchain-based Industrial Wireless Sensor Networks (IWSNs) for events monitoring and control in DERs. The datasets provided include both raw (unprocessed) and refined (processed) data, which highlight distinct trends in cyberattacks in DERs. These distinctive patterns demonstrate problems like superfluous mass data generation, transmitting invalid packets, sending deceptive data packets, heavily using network bandwidth, rerouting, causing memory overflow, overheads, and creating high latency. These issues result in ineffective real-time events monitoring and control of DERs in SGs. The thorough nature of these datasets is expected to play a crucial role in identifying and mitigating a wide range of cyberattacks across different smart grid applications.
  8. Majid NFH, Muhamad S, Kusairi S, Ramli R
    Data Brief, 2024 Apr;53:110152.
    PMID: 38375144 DOI: 10.1016/j.dib.2024.110152
    This article presents data on occupational stress, job satisfaction, and job performance among male fertility patients. The data were collected from 11 November 2021 until 30 October 2022. A quantitative research approach was employed, involving a questionnaire development and survey. A sample of 309 was selected, using simple random sampling, from the pool of male patients that had undergone seminal fluid analysis (SFA) and received treatment from four private fertility clinics in Malaysia. Respondents were asked to give their consent by signing a consent form, for ethical research purposes. The questionnaire asked respondents about their demographics, sperm quality, occupational stress, job satisfaction, and job performance. The data could help other researchers to develop research on management issue in the context of male fertility, as well as organisations to maintain the health and welfare of their employees.
  9. Yahaya N, Mohamed Rehan M, Hamdan NH, Nasaruddin SM
    Data Brief, 2024 Apr;53:110155.
    PMID: 38379885 DOI: 10.1016/j.dib.2024.110155
    The mangrove ecosystem contains sediment microorganisms that play a crucial part in the decomposition of organic matter and the cycling of water and nutrients in the mangrove. Here we present the metagenomics whole genome shotgun (mWGS) sequence data analysis from three soil samples that were collected at the freshwater riverine mangrove at Lukut River, Negeri Sembilan, Malaysia. Data analysis shows different distributions of bacteria of the genera Bradyrhizobium, Methyloceanibacter and Desulfobacteaceae were detected in soil samples collected at freshwater riverine mangrove. In the data analysis, we report the existence of a large number of Carbohydrate-Active genes in metagenomes collected from mangrove soil. An in-depth exploration of functional annotation analysis based on the KEGG database also showed that the most abundant genes found in these three soils are those that function in carbon fixation pathways, followed by methane, nitrogen, sulfur metabolisms, atrazine and dioxin degradations.
  10. Sheikh MR, Islam MM, Himel GMS
    Data Brief, 2024 Apr;53:110149.
    PMID: 38379887 DOI: 10.1016/j.dib.2024.110149
    This article introduces a comprehensive dataset designed for researchers to classify diseases in Luffa leaves, determine the grade of Luffa from Luffa images, and identify different growth stages throughout the year. The dataset is meticulously organized into three sections, each concentrating on specific facets of Luffa Aegyptiaca, commonly known as Smooth Luffa (Dhundol/). These images were captured in various village fields in Faridpur, Bangladesh. The sections include the assessment of Smooth Luffa quality, the identification of plant diseases, and the documentation of Luffa flowers. The dataset is divided into three sections, totaling 1933 original JPG images. The "Luffa Diseases" section features images of smooth Luffa leaves, depicting various diseases and unaffected leaves. Categories in this section encompass Alternaria Disease, Angular Spot Disease, Holed Leaves, Mosaic Virus, and Fresh Leaves, totaling 1228 JPG raw images. The "Flowers" category comprises 362 JPG raw images, showcasing different maturity stages in smooth Luffa flowers. Finally, the "Luffa Grade" section focuses on categorizing smooth Luffa into fresh and defective categories, presenting 343 JPG raw images for this purpose.
  11. Sanusi NA, Ghazali NA, Alipiah RM, Koris R, Zakariya R
    Data Brief, 2024 Feb;52:110028.
    PMID: 38293580 DOI: 10.1016/j.dib.2024.110028
    An artificial reef (AR) programme is being undertaken by the local fisheries authority in Terengganu, Malaysia, in an effort to mitigate the depletion of fish stocks in the coastal zone. This program is intended to protect inshore fishery habitats from trawls to increase fishery resources and improve the economic conditions of artisanal fishing communities. This article aims to present data on fishers' demographic characteristics and artificial reef fishing activity on Terengganu coastal water. Primary data were collected using stratified sampling that involved 430 respondents from four fishing communities in Terengganu, namely Setiu, Marang, Dungun and Kemaman. The dataset was obtained through a self-structured questionnaire. Data analysis and summary are presented using tables and figures. The findings provide valuable feedback on the socio-economic impact and economic value of artificial reefs to the fishermen and can be useful for policymakers to prevent the over-exploitation of fishery resources in Malaysian marine territories.
  12. Wang W, Ikegaya N, Hirose C, Mohamad MF
    Data Brief, 2024 Feb;52:109856.
    PMID: 38146293 DOI: 10.1016/j.dib.2023.109856
    This data article provides temporally and spatially high-resolution datasets of the indoor velocity fields for cross-ventilation models of two-layered simplified buildings separated by a second floor at the middle height with an opening using wind-tunnel experiments. The datasets are based on the research article entitled "Quantifying natural cross-ventilation flow of a two-layered model used for terraced houses in tropical zones by particle image velocimetry" by Ali et al. [1]. Two cases are considered based on the positions of the inlet and outlet openings on each floor. The measurements were conducted using hot-wire anemometry (HWA) with 10,000 Hz and particle image velocimetry (PIV) with 1000 Hz for a sufficiently long period to determine reliable statistics of the mean, variances, and covariances. In addition, the article provides the instantaneous datasets of two velocity components determined by PIV for the cross-ventilation models. The datasets can be used for both computational fluid dynamics (CFD) validation and further investigation of turbulent flow nature of the multi-layer cross ventilation flow.
  13. Aigbogun O, Aluh DO, Okoro RN, Yousefi M, Fawehinmi O, Abdullahi MS
    Data Brief, 2024 Feb;52:109875.
    PMID: 38146289 DOI: 10.1016/j.dib.2023.109875
    Regression analysis was carried out to examine the association between certain socio-demographic characteristics and substance use among internally displaced persons (IDPs). Using an adapted version of the Drug Use Disorder Identification Test (DUDIT) instrument, cross-sectional survey data were obtained from 520 IDPs living in three camps located in Maiduguri, Borno state of Nigeria. The data were analyzed using Statistical Package for Social Sciences software version 21.0. Specifically, this article provides data about the participants' demographic characteristics, the types of substances they use, reasons for using such substances, and the prevalence of substance use. This dataset can offer valuable multivariate information for future research agendas in similar, or closely related study populations. This cross-sectional dataset is also valuable for policymakers who are seeking ways to intervene in the substance use problem, as well as other associated social vices, affecting the vulnerable population of IDPs.
  14. Mahadi WSW, Wong CMVL, Rodrigues KF, Teoh CP, Lindang HU, Budiman C
    Data Brief, 2024 Feb;52:109841.
    PMID: 38146304 DOI: 10.1016/j.dib.2023.109841
    Arthrobacter sp. EM1 is a cold-adapted bacterium isolated from the Antarctic region, which was known to exhibit mannan-degrading activity. Accordingly, this strain not only promises a cell factory for mannan-degrading enzymes, widely used in industry but also serves as a model organism to decipher its cold adaptation mechanism. Accordingly, whole genome sequencing of the EM1 strain was performed via Single Molecule Real Time sequencing under the PacBio platform, followed by genome HGAP de novo assembly and genome annotation through Rapid Annotation System Technology (RAST) server. The chromosome of this strain is 3,885,750 bp in size with a GC content of 65.8. The annotation predicted a total of 3607 protein-coding genes and 65 RNA genes, which were classified under 398 subsystems. The subsystem with the highest number of genes is carbohydrate metabolism (397 genes), which includes two genes encoding mannan-degrading enzymes (endoglucanase and α-mannosidase). This confirmed that the EM1 strain is able to produce cold-adapted mannan degrading enzymes. The complete genome sequence data have been submitted to the National Center for Biotechnology Information (NCBI) and have been deposited at GenBank (Bioproject ID Accession Number: PRJNA963062; Biosample ID Accession Number: SAMN34434776; GenBank: CP124836.1; https://www.ncbi.nlm.nih.gov/nuccore/CP124836).
  15. Mohd Yousof NSA, Mohmad Misnan N, Abdul Karim AH, Zainol M, Mohd Abd Razak MR, Md Jelas NH, et al.
    Data Brief, 2024 Feb;52:109895.
    PMID: 38161655 DOI: 10.1016/j.dib.2023.109895
    This article presents two types of phytochemical data obtained from Brucea javanica (L.) Merr. roots, a medicinal plant belonging to the Simaroubaceae family. The high-resolution LC-MS dataset comprised the chemical profile of dichloromethane extract, which was utilised to annotate 35 chemical constituents. For annotations, the measured spectral data were compared with the in-silico spectral data generated from 920 molecular structures previously reported in Simaroubaceae. Indole alkaloids, quassinoids, aliphatics and lignan were the chemical groups identified in the root extract. The second dataset provides NMR spectra (1H, 13C, COSY, HMQC and HMBC) for the six indole alkaloids previously detected in LC-MS analysis and isolated through centrifugal partition chromatography. The chemical structures of all compounds were confirmed based on NMR data as bruceolline J (compound 7), canthin-6-one-N-oxide (compound 10), bruceolline E (compound 15), 5-methoxycanthin-6-one (compound 16), canthin-6-one (compound 20), and 1‑hydroxy-11-methoxycanthin-6-one (compound 22). This phytochemical data was generated to support an ongoing anti-cancer and anti-dengue study.
  16. Mills K, Muir DD, Oldroyd A, John EH, Santodomingo N, Johnson KG, et al.
    Data Brief, 2024 Feb;52:109947.
    PMID: 38226036 DOI: 10.1016/j.dib.2023.109947
    This article provides novel data on the microstructure and crystallographic texture of modern giant clam shells (Tridacna squamosa and Hippopus hippopus) from the Coral Triangle region of northeast Borneo. Giant clams have two aragonitic shell layers-the inner and outer shell layer. This dataset focuses on the inner shell layer as this is well preserved and not affected by diagenetic alteration. To prepare samples for analysis, shells were cut longitudinally at the axis of maximum growth and mounted onto thin sections. Data collection involved scanning electron microscopy (SEM) to determine microstructure and SEM based electron backscatter diffraction (EBSD) for quantitative measurement of crystallographic orientation and texture. Post-acquisition reanalysis of saved EBSD patterns to optimize data quality included changing the number of reflectors and band detection mode. We provide EBSD data as band contrast images and colour-coded orientation maps (inverse pole figure maps). Crystallographic co-orientation strength obtained with multiple of uniform density (MUD) values are derived from density distributed pole figures of indexed EBSD points. Raw EBSD data files are also given to ensure repeatability of the steps provided in this article and to allow extraction of further crystallographic properties for future researchers. Overall, this dataset provides 1. a better understanding of shell growth and biomineralization in giant clams and 2. important steps for optimizing data collection with EBSD analyses in biogenic carbonates.
  17. Shahrun MS, Rahman MHA, Baharom NA, Jumat F, Saad MJ, Mail MF, et al.
    Data Brief, 2024 Feb;52:109997.
    PMID: 38226037 DOI: 10.1016/j.dib.2023.109997
    Biochar production is an effective approach to managing abundant agricultural wastes. Pruning wastes from trimming the branches of trees such as carambola and mango, as well as coconut shells, are among the agricultural wastes that have reutilisation potential, which would simultaneously reduce the space required for disposal. In this study, the potential use of these wastes by converting them into biochar was investigated. The data presented in this study highlight the design of a pyrolysis system for a low-temperature slow pyrolysis process, as well as the characterisation data of the biochar produced using this system. The data collected included the elemental composition, porosity, as well as surface and adsorption characteristics of the biochar. These data indicate that the biochar produced had certain qualities that would enable its use for specific agricultural and industrial purposes. Meanwhile, the design indicated that it could facilitate small farms with specific outputs. In brief, these data can be used as references for developing a small-scale system for agricultural waste management using different types of crops.
  18. Kamarudin SAA, Ahmad F, Hasan N, Hisham SN, Yusof SN, Abu Hassan A, et al.
    Data Brief, 2024 Feb;52:109974.
    PMID: 38229927 DOI: 10.1016/j.dib.2023.109974
    In Malaysia, rice mutant varieties that are genetically altered to confer resistance against blast disease have been substantially developed through mutational breeding program. However, due to the limited accessible information on the mutant lines, mutant gene variants corresponding to the disease resistance and other useful agronomic traits are yet to be exploited. Here, we conducted whole genome re-sequencing of blast resistance with kernel elongation traits in mutant line, Mahsuri Mutant (87,639,446 bp raw reads), and its parental line, Mahsuri (85,156,783 bp raw reads) using Illumina Novaseq 6000 sequencing platform with 30x sequencing coverage. The generated genome sequences are aimed to facilitate the discovery of causal mutation and single nucleotide polymorphisms (SNPs) related to the intended traits. The identified SNPs can be further employed to develop allele-specific SNP molecular markers to locate the mutant gene regions. The NGS data obtained (FASTQ format) of the parental and mutant lines have been deposited in the National Center for Biotechnology Information (NCBI) database under sequence read archive (SRA) xwith accession numbers SRR24388814 (Mahsuri) and SRR22952097 (Mahsuri Mutant) respectively.
  19. Ullah S, Huda N, Wahab RA, Hamid AAA, Nasir MHM, Mohamad MAN, et al.
    Data Brief, 2024 Feb;52:110044.
    PMID: 38328502 DOI: 10.1016/j.dib.2024.110044
    Green honey, was discovered on Banggi Island, Sabah, showing high in essential amino acids and chlorophyll derivatives. Despite its lucrative market potential owing to its distinctive color, uncertainties persist regarding its nature. This study leverages amplicon sequencing by targeting micro- and macro-organisms present in honey environmental DNA (eDNA) using Internal Transcribed Spacer 2 (ITS2) region, enabling the identification of floral and microorganism sources that represent the honey's composition. The investigation into green honey from Banggi Island concerns the prevalence of honey adulteration and authenticity for economic gain. Adulteration methods, such as the addition of sugar syrups, compromise honey purity. Using a sequencing approach would help in determining the geographic origin and verifying the authenticity of the honey. The study aims to identify plant species or microorganisms in honey's eDNA. To authenticate honey, we utilized ITS2 with Illumina sequencing, exploring the diversity of green honey samples. Raw sequence reads obtained for the green honey sample revealed 1,438,627 raw reads, with a GC average of 49.22 %. A total of 44 amplicon sequence variances (ASVs) were identified, including three genera: Zygosaccharomyces with two species, Fraxinus with three species, and the genus Ficaria with only one species. Their respective relative abundances were 98.55%, 0.94%, and 0.51%. Zygosaccharomyces rouxii and Zygosaccharomyces mellis were identified as the pre-dominant yeast species in honey, while the Fraxinus and Ficaria genus represent common plant species in Sabah, particularly in Banggi Island. The dominance of Zygosaccharomyces species aligns with their known prevalence in honey, affirming the reliability of our findings. The presence of Fraxinus and Ficaria in the honey sample correlates with its abundance in the local environment. This amplicon sequencing approach not only contributes to our understanding of green honey composition but also serves as a valuable resource for authenticating honey origin in Malaysia, particularly for green honey from Banggi Island, Sabah. Our study pioneers the application of ITS2 amplicon sequencing for green honey amplicon sequencing, providing valuable insights into its composition and origin. This methodology, with a focus on eDNA, contributes to the authentication and quality determination of honey in Malaysia, addressing the pressing concerns of adulteration and variability in production practices.
  20. Anuradha C, Chandrasekar A, Backiyarani S, Thangavelu R, Uma S, Selvarajan R
    Data Brief, 2024 Feb;52:109803.
    PMID: 38370021 DOI: 10.1016/j.dib.2023.109803
    In this investigation, the study focused on the RNAseq data generated in response to Fusarium oxysporum f.sp. cubense (Foc) race1 (Cavendish infecting strain VCG 0124), targeting both resistant (cv. Rose, AA) and susceptible cultivars (Namarai, AA), and Tropical Race 4 (TR4, strain VCG 01213/16), involving resistant (cv. Rose, AA) and susceptible cultivars (Matti, AA). The respective contrasting cultivars were independently challenged with Foc race1 and TR4, and the root and corm samples were collected in two replications at varying time intervals [0th (control), 2nd, 4th, 6th, and 8th days] in duplicates. The RNA samples underwent stringent quality checks, with all 80 samples meeting the primary parameters, including a satisfactory RNA integrity number (>7). Subsequent library preparation and secondary quality control steps were executed successfully for all samples, paving the way for the sequencing phase. Sequencing generated an extensive amount of data, yielding a range of 10 to 31 million paired-end raw reads per sample, resulting in a cumulative raw data size of 11-50 GB. These raw reads were aligned against the reference genome of Musa acuminata ssp. malaccensis version 2 (DH Pahang), as well as the pathogen genomes of Foc race 1 and Foc TR4, using the HISAT2 alignment tool. The focal point of this study was the investigation of differential gene expression patterns of Musa spp. upon Foc infection. In Foc race1 resistant and susceptible root samples across the designated day intervals, a significant number of genes displayed up-regulation (ranging from 1 to 228) and down-regulation (ranging from 1 to 274). In corm samples, the up-regulated genes ranged from 1 to 149, while down-regulated genes spanned from 3 to 845. For Foc TR4 resistant and susceptible root samples, the expression profiles exhibited a notable up-regulation of genes (ranging from 31 to 964), along with a down-regulation range of 316-1315. In corm samples, up-regulated genes ranged from 57 to 929, while down-regulated genes were observed in the range of 40-936. In addition to the primary analysis, a comprehensive secondary analysis was conducted, including Gene Ontology (GO), euKaryotic Orthologous Groups (KOG) classification, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and investigations into Simple Sequence Repeats (SSRs), Single Nucleotide Polymorphisms (SNPs), and microRNA (miRNA). The complete dataset was carefully curated and housed at ICAR-NRCB, Trichy, ensuring its accuracy and accessibility for the duration of the study. Further, the raw transcriptome read datasets have been successfully submitted to the National Center for Biotechnology Information - Sequence Read Archive (NCBI-SRA) database, ensuring the accessibility and reproducibility of this valuable dataset for further research endeavors.
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