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Fulltext The complete chloroplast genome sequence of Chengal (Neobalanocarpus heimii, Dipterocarpaceae), a durable tropical hardwood

Lee SY, Ng WL, Hishamuddin MS, Mohamed R

Mitochondrial DNA B Resour, 2019;4(1):19-20.
PMID: 33365402 DOI: 10.1080/23802359.2018.1535848

Known for its durable timber quality, Neobalanocarpus heimii (King) Ashton is a highly sought after tree species endemic to the Malay Peninsula. Due to its scarcity and high value, the tree is classified under the IUCN Red List categories of Vulnerable. In this study, we assembled the complete chloroplast (cp) genome of N. heimii using data from high-throughput Illumina sequencing. The Chengal cp genome is 151,191 bp in size and includes two inverted repeat regions of 23,721 bp each, which is separated by a large single copy region of 83,801 bp and a small single copy region of 19,948 bp. A total of 130 genes were predicted, including 37 tRNA, 8 rRNA, and 85 protein-coding genes. Phylogenetic analysis placed N. heimii within the order Malvales.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Draft Genome Sequence of a Biosurfactant-Producing Bacillus subtilis UMX-103 Isolated from Hydrocarbon-Contaminated Soil in Terengganu, Malaysia

Abdelhafiz YA, Manaharan T, BinMohamad S, Merican AF

Curr Microbiol, 2017 Apr 17.
PMID: 28417189 DOI: 10.1007/s00284-017-1249-3

The draft genome here presents the sequence of Bacillus subtilis UMX-103. The bacterial strain was isolated from hydrocarbon-contaminated soil from Terengganu, Malaysia. The whole genome of the bacterium was sequenced using Illumina HiSeq 2000 sequencing platform. The genome was assembled using de novo approach. The genome size of UMX-103 is 4,234,627 bp with 4399 genes comprising 4301 protein-coding genes and 98 RNA genes. The analysis of assembled genes revealed the presence of 25 genes involved in biosurfactant production, where 14 of the genes are related to biosynthesis and 11 of the genes are in the regulation of biosurfactant productions. This draft genome will provide insights into the genetic bases of its biosurfactant-producing capabilities.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext The Crown Pearl: a draft genome assembly of the European freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758)

Gomes-Dos-Santos A, Lopes-Lima M, Machado AM, Marcos Ramos A, Usié A, Bolotov IN, et al.

DNA Res, 2021 May 02;28(2).
PMID: 33755103 DOI: 10.1093/dnares/dsab002

Since historical times, the inherent human fascination with pearls turned the freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758) into a highly valuable cultural and economic resource. Although pearl harvesting in M. margaritifera is nowadays residual, other human threats have aggravated the species conservation status, especially in Europe. This mussel presents a myriad of rare biological features, e.g. high longevity coupled with low senescence and Doubly Uniparental Inheritance of mitochondrial DNA, for which the underlying molecular mechanisms are poorly known. Here, the first draft genome assembly of M. margaritifera was produced using a combination of Illumina Paired-end and Mate-pair approaches. The genome assembly was 2.4 Gb long, possessing 105,185 scaffolds and a scaffold N50 length of 288,726 bp. The ab initio gene prediction allowed the identification of 35,119 protein-coding genes. This genome represents an essential resource for studying this species' unique biological and evolutionary features and ultimately will help to develop new tools to promote its conservation.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext NGS Technology in Monitoring the Genetic Diversity of Cytomegalovirus Strains

Vankova OE, Brusnigina NF, Novikova NA

Sovrem Tekhnologii Med, 2023;15(2):41-46.
PMID: 37389021 DOI: 10.17691/stm2023.15.2.04

Modern molecular genetic methods, massive parallel sequencing in particular, allow for genotyping of various pathogens with the aim of their epidemiological marking and improvement of molecular epidemiological surveillance of actual infections, including cytomegalovirus infection. The aim of the study is to evaluate the next-generation sequencing (NGS) technology for genotyping clinical isolates of cytomegalovirus (CMV).
MATERIALS AND METHODS: The object of the study were samples of biological substrates (leukocyte mass, saliva, urine) taken from patients who underwent liver and kidney transplantation. Detection of CMV DNA was carried out by a real-time PCR using commercial diagnostic AmpliSense CMV-FL test systems (Central Research Institute for Epidemiology, Moscow, Russia). DNA extraction was performed using DNA-sorb AM and DNA-sorb V kits (Central Research Institute for Epidemiology) in accordance with manufacturer's manual. The quality of the prepared DNA library for sequencing was assessed by means of the QIAxcel Advanced System capillary gel electrophoresis system (QIAGEN, Germany). Alignment and assembly of nucleotide sequences were carried out using CLC Genomics Workbench 5.5 software (CLC bio, USA). The sequencing results were analyzed using BLAST of NCBI server.
RESULTS: CMV DNA samples were selected for genotyping. The two variable genes, UL55(gB) and UL73(gN), were used for CMV genotype determination, which was performed using NGS technology MiSeq sequencer (Illumina, USA). Based on the exploratory studies and analysis of literature sources, primers for genotyping on the UL55(gB) and UL73(gN) genes have been selected and the optimal conditions for the PCR reaction have been defined. The results of sequencing the UL55(gB) and UL73(gN) gene fragments of CMV clinical isolates from recipients of solid organs made it possible to determine the virus genotypes, among which gB2, gN4c, and gN4b were dominant. In some cases, association of two and three CMV genotypes has been revealed.
CONCLUSION: The application of the NGS technology for genotyping cytomegalovirus strains can become one of the main methods of CMV infection molecular epidemiology, as it allows for obtaining reliable results with a significant reduction in research time.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext Deciphering chicken gut microbial dynamics based on high-throughput 16S rRNA metagenomics analyses

Mohd Shaufi MA, Sieo CC, Chong CW, Gan HM, Ho YW

Gut Pathog, 2015;7:4.
PMID: 25806087 DOI: 10.1186/s13099-015-0051-7

Chicken gut microbiota has paramount roles in host performance, health and immunity. Understanding the topological difference in gut microbial community composition is crucial to provide knowledge on the functions of each members of microbiota to the physiological maintenance of the host. The gut microbiota profiling of the chicken was commonly performed previously using culture-dependent and early culture-independent methods which had limited coverage and accuracy. Advances in technology based on next-generation sequencing (NGS), offers unparalleled coverage and depth in determining microbial gut dynamics. Thus, the aim of this study was to investigate the ileal and caecal microbiota development as chicken aged, which is important for future effective gut modulation.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Proteogenomics: From next-generation sequencing (NGS) and mass spectrometry-based proteomics to precision medicine

Ang MY, Low TY, Lee PY, Wan Mohamad Nazarie WF, Guryev V, Jamal R

Clin Chim Acta, 2019 Nov;498:38-46.
PMID: 31421119 DOI: 10.1016/j.cca.2019.08.010

One of the best-established area within multi-omics is proteogenomics, whereby the underpinning technologies are next-generation sequencing (NGS) and mass spectrometry (MS). Proteogenomics has contributed significantly to genome (re)-annotation, whereby novel coding sequences (CDS) are identified and confirmed. By incorporating in-silico translated genome variants in protein database, single amino acid variants (SAAV) and splice proteoforms can be identified and quantified at peptide level. The application of proteogenomics in cancer research potentially enables the identification of patient-specific proteoforms, as well as the association of the efficacy or resistance of cancer therapy to different mutations. Here, we discuss how NGS/TGS data are analyzed and incorporated into the proteogenomic framework. These sequence data mainly originate from whole genome sequencing (WGS), whole exome sequencing (WES) and RNA-Seq. We explain two major strategies for sequence analysis i.e., de novo assembly and reads mapping, followed by construction of customized protein databases using such data. Besides, we also elaborate on the procedures of spectrum to peptide sequence matching in proteogenomics, and the relationship between database size on the false discovery rate (FDR). Finally, we discuss the latest development in proteogenomics-assisted precision oncology and also challenges and opportunities in proteogenomics research.

Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods; High-Throughput Nucleotide Sequencing/trends
Fulltext Little influence of DNA quality on the direct sequencing output of non-human primates' faecal samples

Lee FCH, Sitam FT, Tan LP

J Virol Methods, 2025 Feb;332:115074.
PMID: 39580121 DOI: 10.1016/j.jviromet.2024.115074

DNA samples selected for long read sequencing (LRS) are routinely required to be 'pure' with high DNA concentration. Hence the usefulness of samples with substandard DNA quality for LRS is unknown. We aim to perform de-novo assembly of Adenovirus sequenced from non-human primate (NHP) faeces using the Oxford Nanopore technologies (ONT), an LRS platform. Guided by initial conventional PCR screening, we performed ONT sequencing on 34 Adenovirus positive DNA samples, without prior selection based on faeces freshness level or DNA quality. Non-parametric correlation analysis showed that ONT sequencing outputs is not significantly associated (p > 0.05) with DNA concentrations, faeces freshness levels and the OD ratios of A260/A280 and A260/A230. This indicated that conventional DNA quality parameters may not be the most critical factors in determining the suitability of samples for ONT sequencing. A total of 61.76 % (21/34) of the positive-by-PCR-screening samples yielded Adenovirus reads while 38.24 % (13/34) did not in the PCR-free ONT workflow, although rarefaction analysis showed that sequencing saturation was achieved by all samples. Among the 21 samples with adenovirus reads, ten resulted in at least one Adenovirus contig by the Flye assembler while nine did not and two samples had only a single Adenovirus read. Identity similarity above 90 % in conventional PCR screening may help in selecting ONT positive samples.

Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods; High-Throughput Nucleotide Sequencing/standards
High-throughput terrestrial biodiversity assessments: mitochondrial metabarcoding, metagenomics or metatranscriptomics?

Wilson JJ, Brandon-Mong GJ, Gan HM, Sing KW

Mitochondrial DNA A DNA Mapp Seq Anal, 2019 01;30(1):60-67.
PMID: 29591722 DOI: 10.1080/24701394.2018.1455189

Consensus on the optimal high-throughput sequencing (HTS) approach to examine biodiversity in mixed terrestrial arthropod samples has not been reached. Metatranscriptomics could increase the proportion of taxonomically informative mitochondrial reads in HTS outputs but has not been investigated for terrestrial arthropod samples. We compared the efficiency of 16S rRNA metabarcoding, metagenomics and metatranscriptomics for detecting species in a mixed terrestrial arthropod sample (pooled DNA/RNA from 38 taxa). 16S rRNA metabarcoding and nuclear rRNA-depleted metatranscriptomics had the highest detection rate with 97% of input species detected. Based on cytochrome c oxidase I, metagenomics had the highest detection rate with 82% of input species detected, but metatranscriptomics produced a larger proportion of reads matching (Sanger) reference sequences. Metatranscriptomics with nuclear rRNA depletion may offer advantages over metabarcoding through reducing the number of spurious operational taxonomic units while retaining high detection rates, and offers natural enrichment of mitochondrial sequences which may enable increased species detection rates compared with metagenomics.

Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods; High-Throughput Nucleotide Sequencing/standards
Suppression Subtractive Hybridization Versus Next-Generation Sequencing in Plant Genetic Engineering: Challenges and Perspectives

Sahebi M, Hanafi MM, Azizi P, Hakim A, Ashkani S, Abiri R

Mol Biotechnol, 2015 Oct;57(10):880-903.
PMID: 26271955 DOI: 10.1007/s12033-015-9884-z

Suppression subtractive hybridization (SSH) is an effective method to identify different genes with different expression levels involved in a variety of biological processes. This method has often been used to study molecular mechanisms of plants in complex relationships with different pathogens and a variety of biotic stresses. Compared to other techniques used in gene expression profiling, SSH needs relatively smaller amounts of the initial materials, with lower costs, and fewer false positives present within the results. Extraction of total RNA from plant species rich in phenolic compounds, carbohydrates, and polysaccharides that easily bind to nucleic acids through cellular mechanisms is difficult and needs to be considered. Remarkable advancement has been achieved in the next-generation sequencing (NGS) field. As a result of progress within fields related to molecular chemistry and biology as well as specialized engineering, parallelization in the sequencing reaction has exceptionally enhanced the overall read number of generated sequences per run. Currently available sequencing platforms support an earlier unparalleled view directly into complex mixes associated with RNA in addition to DNA samples. NGS technology has demonstrated the ability to sequence DNA with remarkable swiftness, therefore allowing previously unthinkable scientific accomplishments along with novel biological purposes. However, the massive amounts of data generated by NGS impose a substantial challenge with regard to data safe-keeping and analysis. This review examines some simple but vital points involved in preparing the initial material for SSH and introduces this method as well as its associated applications to detect different novel genes from different plant species. This review evaluates general concepts, basic applications, plus the probable results of NGS technology in genomics, with unique mention of feasible potential tools as well as bioinformatics.

Matched MeSH terms: High-Throughput Nucleotide Sequencing/economics; High-Throughput Nucleotide Sequencing/methods*
Gene Mutations as Emerging Biomarkers and Therapeutic Targets for Relapsed Acute Myeloid Leukemia

Aziz H, Ping CY, Alias H, Ab Mutalib NS, Jamal R

Front Pharmacol, 2017;8:897.
PMID: 29270125 DOI: 10.3389/fphar.2017.00897

It is believed that there are key differences in the genomic profile between adult and childhood acute myeloid leukemia (AML). Relapse is the significant contributor of mortality in patients with AML and remains as the leading cause of cancer death among children, posing great challenges in the treatment of AML. The knowledge about the genomic lesions in childhood AML is still premature as most genomic events defined in children were derived from adult cohorts. However, the emerging technologies of next generation sequencing have narrowed the gap of knowledge in the biology of AML by the detection of gene mutations for each sub-type which have led to the improvement in terms of prognostication as well as the use of targeted therapies. In this review, we describe the recent understanding of the genomic landscape including the prevalence of mutation, prognostic impact, and targeted therapies that will provide an insight into the pathogenesis of AML relapse in both adult and childhood cases.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext Data on RNA-seq analysis of Garcinia mangostana L. seed development

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: High-Throughput Nucleotide Sequencing
Fulltext 16S rRNA Gene Sequencing for Deciphering the Colorectal Cancer Gut Microbiome: Current Protocols and Workflows

Osman MA, Neoh HM, Ab Mutalib NS, Chin SF, Jamal R

Front Microbiol, 2018;9:767.
PMID: 29755427 DOI: 10.3389/fmicb.2018.00767

The human gut holds the densest microbiome ecosystem essential in maintaining a healthy host physiology, whereby disruption of this ecosystem has been linked to the development of colorectal cancer (CRC). The advent of next-generation sequencing technologies such as the 16S rRNA gene sequencing has enabled characterization of the CRC gut microbiome architecture in an affordable and culture-free approach. Nevertheless, the lack of standardization in handling and storage of biospecimens, nucleic acid extraction, 16S rRNA gene primer selection, length, and depth of sequencing and bioinformatics analyses have contributed to discrepancies found in various published studies of this field. Accurate characterization of the CRC microbiome found in different stages of CRC has the potential to be developed into a screening tool in the clinical setting. This mini review aims to concisely compile all available CRC microbiome studies performed till end of 2016 and to suggest standardized protocols that are crucial in developing a gut microbiome screening panel for CRC.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext Data on degradome sequencing and analysis from mock-inoculated and Fusarium oxysporum treated leaves samples in Persicaria minor

Samad AFA, Sajad M, Jani J, Murad AMA, Ismail I

Data Brief, 2018 Oct;20:555-557.
PMID: 30197911 DOI: 10.1016/j.dib.2018.08.034

Degradome sequencing referred as parallel analysis of RNA ends (PARE) by modifying 5'-rapid amplification of cDNA ends (RACE) with deep sequencing method. Deep sequencing of 5' products allow the determination of cleavage sites through the mapping of degradome fragments against small RNAs (miRNA or siRNA) on a large scale. Here, we carried out degradome sequencing in medicinal plant, Persicaria minor, to identify cleavage sites in small RNA libraries in control (mock-inoculated) and Fusarium oxysporum treated plants. The degradome library consisted of both control and treated samples which were pooled together during library preparation and named as D4. The D4 dataset have been deposited at GenBank under accession number SRX3921398, https://www.ncbi.nlm.nih.gov/sra/SRX3921398.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Unexpected relevant role of gene mosaicism in patients with primary immunodeficiency diseases

Mensa-Vilaró A, Bravo García-Morato M, de la Calle-Martin O, Franco-Jarava C, Martínez-Saavedra MT, González-Granado LI, et al.

J Allergy Clin Immunol, 2019 Jan;143(1):359-368.
PMID: 30273710 DOI: 10.1016/j.jaci.2018.09.009

BACKGROUND: Postzygotic de novo mutations lead to the phenomenon of gene mosaicism. The 3 main types are called somatic, gonadal, and gonosomal mosaicism, which differ in terms of the body distribution of postzygotic mutations. Mosaicism has been reported occasionally in patients with primary immunodeficiency diseases (PIDs) since the early 1990s, but its real involvement has not been systematically addressed.
OBJECTIVE: We sought to investigate the incidence of gene mosaicism in patients with PIDs.
METHODS: The amplicon-based deep sequencing method was used in the 3 parts of the study that establish (1) the allele frequency of germline variants (n = 100), (2) the incidence of parental gonosomal mosaicism in families with PIDs with de novo mutations (n = 92), and (3) the incidence of mosaicism in families with PIDs with moderate-to-high suspicion of gene mosaicism (n = 36). Additional investigations evaluated body distribution of postzygotic mutations, their stability over time, and their characteristics.
RESULTS: The range of allele frequency (44.1% to 55.6%) was established for germline variants. Those with minor allele frequencies of less than 44.1% were assumed to be postzygotic. Mosaicism was detected in 30 (23.4%) of 128 families with PIDs, with a variable minor allele frequency (0.8% to 40.5%). Parental gonosomal mosaicism was detected in 6 (6.5%) of 92 families with de novo mutations, and a high incidence of mosaicism (63.9%) was detected among families with moderate-to-high suspicion of gene mosaicism. In most analyzed cases mosaicism was found to be both uniformly distributed and stable over time.
CONCLUSION: This study represents the largest performed to date to investigate mosaicism in patients with PIDs, revealing that it affects approximately 25% of enrolled families. Our results might have serious consequences regarding treatment and genetic counseling and reinforce the use of next-generation sequencing-based methods in the routine analyses of PIDs.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia

Ee Uli J, Yong CS, Yeap SK, Alitheen NB, Rovie-Ryan JJ, Mat Isa N, et al.

BMC Res Notes, 2018 Dec 22;11(1):923.
PMID: 30577850 DOI: 10.1186/s13104-018-4014-1

OBJECTIVE: Using high-throughput RNA sequencing technology, this study aimed to sequence the transcriptome of kidney and liver tissues harvested from Peninsular Malaysia cynomolgus macaque (Macaca fascicularis). M. fascicularis are significant nonhuman primate models in the biomedical field, owing to the macaque's biological similarities with humans. The additional transcriptomic dataset will supplement the previously described Peninsular Malaysia M. fascicularis transcriptomes obtained in a past endeavour.
RESULTS: A total of 75,350,240 sequence reads were obtained via Hi-seq 2500 sequencing technology. A total of 5473 significant differentially expressed genes were called. Gene ontology functional categorisation showed that cellular process, catalytic activity, and cell part categories had the highest number of expressed genes, while the metabolic pathways category possessed the highest number of expressed genes in the KEGG pathway analysis. The additional sequence dataset will further enrich existing M. fascicularis transcriptome assemblies, and provide a dataset for further downstream studies.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Impact of DNA extraction methods on the observed microbial communities from the intestinal flora of the penaeid shrimp Litopenaeus vannamei

Jiang B, Sun J, Lv A, Hu X, Shi H, Sung Y, et al.

FEMS Microbiol Lett, 2019 05 01;366(9).
PMID: 31074797 DOI: 10.1093/femsle/fnz099

Two DNA extraction methods, the Zirmil-beating cell disruption method (ZBC) and the QIAamp fast DNA stool mini kit (QIA), were used to extract DNA from the intestinal flora of the penaeid shrimp Litopenaeus vannamei, and their microbial communities were analyzed using 16S rDNA high-throughput sequencing. Results were obtained in terms of the number of reads, alpha diversity indexes, beta diversity indexes and taxonomic composition. The alpha diversity indexes of the community, according to the ZBC method, were higher than those according to the QIA method. Furthermore, results from the three samples using the ZBC method were less consistent than those where the QIA method was used. Further, using the latter method led to substantive clustering. It is suggested that the QIA method is more stable and repeatable than the ZBC method. Although the two extraction methods shared the major abundant microflora based on 16S rDNA high-throughput sequencing, bias associated with diversity analysis indexes and certain species was observed.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Finding Sarcocystis spp. on the Tioman Island: 28S rRNA gene next-generation sequencing reveals nine new Sarcocystis species

Lee FCH

J Water Health, 2019 Jun;17(3):416-427.
PMID: 31095517 DOI: 10.2166/wh.2019.124

The Tioman Island of Malaysia experienced acute muscular sarcocystosis outbreaks from 2011 to 2014. So far, a previous study based on the 18S rRNA gene sequencing has reported S. singaporensis, S. nesbitti and Sarcocystis sp. YLL-2013 in water samples acquired from the island, thus confirming the waterborne nature of this emerging parasitic disease. This study aimed to improve the detection methods for Sarcocystis, in order to have a clearer picture of the true diversity of Sarcocystis species in Tioman. A new primer set (28S R7F-28S R8 Deg R) was designed to amplify the 28S rRNA gene of Sarcocystis. Subsequently, Sarcocystidae was detected in 65.6% (21/32) of water samples and 28% (7/25) of soil samples acquired between 2014 and 2015 from Tioman. Next-generation sequencing (NGS) on 18 of the positive samples was then performed using amplicons generated from the same primer set. This yielded 53 potentially unique Sarcocystidae sequences (290 bp), of which nine of the most abundant, prevalent and unique sequences were named herein. In contrast, NGS of the 18S rRNA gene V9 hypervariable region of 10 selected samples detected only two Sarcocystis species (160 bp). S. mantioni was the most ubiquitous sequence found in this study.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Intraoral appliances for in situ oral biofilm growth: a systematic review

Abdullah N, Al-Marzooq F, Mohamad S, Abd Rahman N, Chi Ngo H, Perera Samaranayake L

J Oral Microbiol, 2019;11(1):1647757.
PMID: 31489127 DOI: 10.1080/20002297.2019.1647757

Background: Oral biofilms are the root cause of major oral diseases. As in vitro biofilms are not representative of the intraoral milieu, various devices have been manufactured over the years to develop Appliance Grown Oral Biofilm (AGOB). Objective: To review various intraoral appliances used to develop AGOB for microbiological analysis, and to judge the optimal means for such analyses. Design: Four databases (PubMed, Science Direct, Scopus and Medline) were searched by two independent reviewers, and articles featuring the key words 'device' OR 'splint' OR 'appliance'; 'Oral biofilm' OR 'dental plaque'; 'in vivo' OR 'in situ'; 'Microbiology' OR 'Bacteria' OR 'microbiome'; were included. The standard Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) were adopted for data gathering. Results: Of the 517 articles which met the initial inclusion criteria, 24 were deemed eligible for review. The age of the AGOB, sampled at various intervals, ranged from 30 min to 28 days. The most commonly used microbiome analytical methods were fluorescence microscopy, total cell count using conventional, and molecular tools including Next Generation Sequencing (NGS) platforms. Conclusions: No uniformly superior method for collecting AGOB could be discerned. NGS platforms are preferable for AGOB analyses.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext Applications of Next-Generation Sequencing Technologies and Computational Tools in Molecular Evolution and Aquatic Animals Conservation Studies: A Short Review

Tan MP, Wong LL, Razali SA, Afiqah-Aleng N, Mohd Nor SA, Sung YY, et al.

Evol Bioinform Online, 2019;15:1176934319892284.
PMID: 31839703 DOI: 10.1177/1176934319892284

Aquatic ecosystems that form major biodiversity hotspots are critically threatened due to environmental and anthropogenic stressors. We believe that, in this genomic era, computational methods can be applied to promote aquatic biodiversity conservation by addressing questions related to the evolutionary history of aquatic organisms at the molecular level. However, huge amounts of genomics data generated can only be discerned through the use of bioinformatics. Here, we examine the applications of next-generation sequencing technologies and bioinformatics tools to study the molecular evolution of aquatic animals and discuss the current challenges and future perspectives of using bioinformatics toward aquatic animal conservation efforts.

Matched MeSH terms: High-Throughput Nucleotide Sequencing
Fulltext Development of novel microsatellite markers using RAD sequencing technology for diversity assessment of rambutan (Nephelium lappaceum L.) germplasm

Ab Razak S, Mad Radzuan S, Mohamed N, Nor Azman NHE, Abd Majid AM, Ismail SN, et al.

Heliyon, 2020 Sep;6(9):e05077.
PMID: 33024864 DOI: 10.1016/j.heliyon.2020.e05077

The trend of microsatellite marker discovery and development revolved as a result of the advancement of next generation sequencing (NGS) technology as it has developed numerous microsatellites within a short period of time at a low cost. This study generated microsatellite markers using RAD sequencing technologies for the understudied Nephelium lappaceum. A total of 1403 microsatellite markers were successfully designed, which consisted of 853 di-, 525 tri-, 17 tetra-, 5 penta-, and 3 hexanucleotide microsatellite markers. Subsequently, selection of 39 microsatellites was made for the evaluation of genetic diversity of the selected 22 rambutan varieties. Twelve microsatellites, which exhibited high call rates across the samples, were used to assess the diversity of the aforementioned rambutan varieties. The analysis of 12 microsatellites revealed the presence of 72 alleles and six alleles per locus in average. Furthermore, the polymorphic information content (PIC) value ranged from 0.326 (NlaSSR20) to 0.832 (NlaSSR32), which included an average of 0.629 per locus, while the generated Neighbour Joining dendrogram showed two major clusters. The pairwise genetic distance of shared alleles exhibited a range of values from 0.046 (R134↔R170) to 0.818 (R5↔R170), which suggested highest dissimilarity detected between R5 and R170. Notably, these research findings would useful for varietal identification, proper management and conservation of the genetic resources, and exploitation and utilization in future breeding programs.

Matched MeSH terms: High-Throughput Nucleotide Sequencing

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