Displaying publications 41 - 60 of 201 in total

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  1. 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
  2. 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
  3. Fulltext Metagenomic 16S rDNA amplicon data of microbial diversity of guts of fully fed tropical bed bugs, Cimex hemipterus (F.) (Hemiptera: Cimicidae)
    Lim L, Ab Majid AH
    Data Brief, 2020 Jun;30:105575.
    PMID: 32368598 DOI: 10.1016/j.dib.2020.105575
    The metagenomic datasets of the microbial DNA from tropical bed bugs (Cimex hemipterus) after feeding on human blood were presented. Next-generation sequencing of the community DNA was carried out on an Illumina Miseq platform and the raw fastq files were analyzed using QIIME (version 1.9.1). The metagenome of three samples comprised of 108,198 sequences representing 44,646,263 bps with a mean length of 412.63 bps. The sequence data is accessible at the NCBI SRA under the bioproject number PRJNA600667. Community analysis showed Proteobacteria was the most abundance (more than 99%) microbial community that present in the guts of fully fed tropical bed bugs.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing
  4. 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
  5. 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
  6. Application of High-Throughput Sequencing (HTS) to Enhance the Well-Being of an Endangered Species (Malayan Tapir): Characterization of Gut Microbiome Using MG-RAST
    Arumugam R, Ravichandran P, Yeap SK, Sharma RSK, Zulkifly SB, Yawah D, et al.
    Methods Mol Biol, 2023;2649:175-194.
    PMID: 37258862 DOI: 10.1007/978-1-0716-3072-3_8
    The Tapirus indicus, also known as Malayan tapir, has been listed as a rapidly declining animal species in the past decades, along with being declared and categorized as an endangered species by the International Union for Conservation of Nature (IUCN) 2016. This tapir species is geographically distributed across several countries in Southeast Asia such as Peninsular Malaysia, Indonesia (Sumatra), South Thailand, and Myanmar. Amongst these countries, the Peninsula Malaysia forest is recorded to contain the highest number of Malayan tapir population. Unfortunately, in the past decades, the population of Malayan tapirs has declined swiftly due to serious deforestation, habitat fragmentation, and heavy vehicle accidents during road crossings at forest routes. Concerned by this predicament, the Department of Wildlife and National Parks (DWNP) Peninsular Malaysia collaborated with a few local universities to conduct various studies aimed at increasing the population number of tapirs in Malaysia. Several studies were conducted with the aim of enhancing the well-being of tapirs in captivity. Veterinarians face problems when it comes to selecting healthy and suitable tapirs for breeding programs at conservation centers. Conventional molecular methods using high-throughput sequencing provides a solution in determining the health condition of Malayan tapirs using the Next-Generation Sequencing (NGS) technology. Unaware by most, gut microbiome plays an important role in determining the health condition of an organism by various aspects: (1) digestion control; (2) benefiting the immune system; and (3) playing a role as a "second brain." Commensal gut bacterial communities (microbiomes) are predicted to influence organism health and disease. Imbalance of unhealthy and healthy microbes in the gut may contribute to weight gain, high blood sugar, high cholesterol, and other disorders. In infancy, neonatal gut microbiomes are colonized with maternal and environmental flora, and mature toward a stable composition in two to three years. Interactions between the microorganism communities and the host allow for the establishment of microbiological roles. Identifying the core microbiome(s) are essential in the prediction of diseases and changes in environmental behavior of microorganisms. The dataset of 16S rRNA amplicon sequencing of Malayan tapir was deposited in the MG-RAST portal. Parameters such as quality control, taxonomic prediction (unknown and predicted), diversity (rarefaction), and diversity (alpha) were analyzed using sequencing approaches (Amplicon sequencing). Comparisons of parameters, according to the type of sequencing, showed significant differences, except for the prediction variable. In the Amplicon sequencing datasets, the parameters Rarefaction and Unknown had the highest correlation, while Alpha and Predicted had the lowest. Firmicutes, Bacteroidetes, Proteobacteria, Bacilli, and Bacteroidia were the most representative genera in Malayan tapir amplicon sequences, which indicated that most of the tapirs were healthy. However, continuous assessment to maintain the well-being of tapir for long term is still required. This chapter focuses on the introduction of 16S rRNA amplicon metagenomics in analyzing Malayan tapir gut microbiome dataset.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing
  7. Fulltext Biases in small RNA deep sequencing data
    Raabe CA, Tang TH, Brosius J, Rozhdestvensky TS
    Nucleic Acids Res, 2014 Feb;42(3):1414-26.
    PMID: 24198247 DOI: 10.1093/nar/gkt1021
    High-throughput RNA sequencing (RNA-seq) is considered a powerful tool for novel gene discovery and fine-tuned transcriptional profiling. The digital nature of RNA-seq is also believed to simplify meta-analysis and to reduce background noise associated with hybridization-based approaches. The development of multiplex sequencing enables efficient and economic parallel analysis of gene expression. In addition, RNA-seq is of particular value when low RNA expression or modest changes between samples are monitored. However, recent data uncovered severe bias in the sequencing of small non-protein coding RNA (small RNA-seq or sRNA-seq), such that the expression levels of some RNAs appeared to be artificially enhanced and others diminished or even undetectable. The use of different adapters and barcodes during ligation as well as complex RNA structures and modifications drastically influence cDNA synthesis efficacies and exemplify sources of bias in deep sequencing. In addition, variable specific RNA G/C-content is associated with unequal polymerase chain reaction amplification efficiencies. Given the central importance of RNA-seq to molecular biology and personalized medicine, we review recent findings that challenge small non-protein coding RNA-seq data and suggest approaches and precautions to overcome or minimize bias.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
  8. Fulltext De novo assembly, characterization and functional annotation of pineapple fruit transcriptome through massively parallel sequencing
    Ong WD, Voo LY, Kumar VS
    PLoS One, 2012;7(10):e46937.
    PMID: 23091603 DOI: 10.1371/journal.pone.0046937
    BACKGROUND: Pineapple (Ananas comosus var. comosus), is an important tropical non-climacteric fruit with high commercial potential. Understanding the mechanism and processes underlying fruit ripening would enable scientists to enhance the improvement of quality traits such as, flavor, texture, appearance and fruit sweetness. Although, the pineapple is an important fruit, there is insufficient transcriptomic or genomic information that is available in public databases. Application of high throughput transcriptome sequencing to profile the pineapple fruit transcripts is therefore needed.

    METHODOLOGY/PRINCIPAL FINDINGS: To facilitate this, we have performed transcriptome sequencing of ripe yellow pineapple fruit flesh using Illumina technology. About 4.7 millions Illumina paired-end reads were generated and assembled using the Velvet de novo assembler. The assembly produced 28,728 unique transcripts with a mean length of approximately 200 bp. Sequence similarity search against non-redundant NCBI database identified a total of 16,932 unique transcripts (58.93%) with significant hits. Out of these, 15,507 unique transcripts were assigned to gene ontology terms. Functional annotation against Kyoto Encyclopedia of Genes and Genomes pathway database identified 13,598 unique transcripts (47.33%) which were mapped to 126 pathways. The assembly revealed many transcripts that were previously unknown.

    CONCLUSIONS: The unique transcripts derived from this work have rapidly increased of the number of the pineapple fruit mRNA transcripts as it is now available in public databases. This information can be further utilized in gene expression, genomics and other functional genomics studies in pineapple.

    Matched MeSH terms: High-Throughput Nucleotide Sequencing*
  9. Fulltext Deep whole-genome sequencing of 100 southeast Asian Malays
    Wong LP, Ong RT, Poh WT, Liu X, Chen P, Li R, et al.
    Am J Hum Genet, 2013 Jan 10;92(1):52-66.
    PMID: 23290073 DOI: 10.1016/j.ajhg.2012.12.005
    Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity for comprehensively characterizing the polymorphic variants in the population. Although the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage has compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the fact that the study design has been extended to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSMP) aims to perform deep whole-genome sequencing of 100 healthy Malays. By sequencing at a minimum of 30× coverage, we have illustrated the higher sensitivity at detecting low-frequency and rare variants and the ability to investigate the presence of hotspots of functional mutations. Compared to the low-pass sequencing in the 1KGP, the deeper coverage allows more functional variants to be identified for each person. A comparison of the fidelity of genotype imputation of Malays indicated that a population-specific reference panel, such as the SSMP, outperforms a cosmopolitan panel with larger number of individuals for common SNPs. For lower-frequency (<5%) markers, a larger number of individuals might have to be whole-genome sequenced so that the accuracy currently afforded by the 1KGP can be achieved. The SSMP data are expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population-genetics studies.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing*
  10. Next-generation sequencing yields the complete mitochondrial genome of the longfang moray, Enchelynassa canina (Anguilliformes: Muraenidae)
    Loh KH, Shao KT, Chen HM, Chen CH, Loo PL, Hui AT, et al.
    Mitochondrial DNA A DNA Mapp Seq Anal, 2016 Jul;27(4):2431-2.
    PMID: 26016872 DOI: 10.3109/19401736.2015.1030629
    In this study, the complete mitogenome sequence of the longfang moray, Enchelynassa canina (Anguilliformes: Muraenidae) has been sequenced by the next-generation sequencing method. The length of the assembled mitogenome is 16,592 bp, which includes 13 protein coding genes, 22 transfer RNAs, and 2 ribosomal RNAs genes. The overall base composition of longfang moray is 28.4% for A, 28.0% for C, 18.4% for G, 25.1% for T, and show 82% identities to Kidako moray, Gymnothorax kidako. The complete mitogenome of the longfang moray provides an essential and important DNA molecular data for further phylogeography and evolutionary analysis for moray eel phylogeny.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing*
  11. Next generation sequencing yields the complete mitochondrial genome of the Zebra moray, Gymnomuraena zebra (Anguilliformes: Muraenidae)
    Loh KH, Shao KT, Chen HM, Chen CH, Chong VC, Loo PL, et al.
    Mitochondrial DNA A DNA Mapp Seq Anal, 2016 11;27(6):4230-4231.
    PMID: 26000942
    In this study, the complete mitogenome sequence of the Zebra moray, Gymnomuraena zebra (Anguilliformes: Muraenidae) has been sequenced by the next-generation sequencing method. The assembled mitogenome consisting of 16,576 bp includes 13 protein coding genes, 22 transfer RNAs, and two ribosomal RNAs genes. The overall base composition of Zebra moray is 30.2% for A, 26.8% for C, 17.2% for G, and 25.8% for T and show 80% identities to Kidako moray, Gymnothorax kidako. The complete mitogenome of the Zebra moray provides an essential and important DNA molecular data for further phylogeography and evolutionary analysis for moray eel phylogeny.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods
  12. Evaluation of mitogenome sequence concordance, heteroplasmy detection, and haplogrouping in a worldwide lineage study using the Precision ID mtDNA Whole Genome Panel
    Strobl C, Churchill Cihlar J, Lagacé R, Wootton S, Roth C, Huber N, et al.
    Forensic Sci Int Genet, 2019 09;42:244-251.
    PMID: 31382159 DOI: 10.1016/j.fsigen.2019.07.013
    The emergence of Massively Parallel Sequencing technologies enabled the analysis of full mitochondrial (mt)DNA sequences from forensically relevant samples that have, so far, only been typed in the control region or its hypervariable segments. In this study, we evaluated the performance of a commercially available multiplex-PCR-based assay, the Precision ID mtDNA Whole Genome Panel (Thermo Fisher Scientific), for the amplification and sequencing of the entire mitochondrial genome (mitogenome) from even degraded forensic specimens. For this purpose, more than 500 samples from 24 different populations were selected to cover the vast majority of established superhaplogroups. These are known to harbor different signature sequence motifs corresponding to their phylogenetic background that could have an effect on primer binding and, thus, could limit a broad application of this molecular genetic tool. The selected samples derived from various forensically relevant tissue sources and were DNA extracted using different methods. We evaluated sequence concordance and heteroplasmy detection and compared the findings to conventional Sanger sequencing as well as an orthogonal MPS platform. We discuss advantages and limitations of this approach with respect to forensic genetic workflow and analytical requirements.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing*
  13. Fulltext Whole-genome sequencing and analysis of the Malaysian cynomolgus macaque (Macaca fascicularis) genome
    Higashino A, Sakate R, Kameoka Y, Takahashi I, Hirata M, Tanuma R, et al.
    Genome Biol, 2012;13(7):R58.
    PMID: 22747675 DOI: 10.1186/gb-2012-13-7-r58
    The genetic background of the cynomolgus macaque (Macaca fascicularis) is made complex by the high genetic diversity, population structure, and gene introgression from the closely related rhesus macaque (Macaca mulatta). Herein we report the whole-genome sequence of a Malaysian cynomolgus macaque male with more than 40-fold coverage, which was determined using a resequencing method based on the Indian rhesus macaque genome.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
  14. Genome survey and development of polymorphic microsatellite loci for Sillago sihama based on Illumina sequencing technology
    Qiu B, Fang S, Ikhwanuddin M, Wong L, Ma H
    Mol Biol Rep, 2020 Apr;47(4):3011-3017.
    PMID: 32124169 DOI: 10.1007/s11033-020-05348-z
    In this study, we first conducted a genome survey assay for Sillago sihama by Illumina sequencing platform, and then developed 15 polymorphic microsatellite loci in a wild population. A total of 129.46 Gb raw data were obtained, of which 115.07 Gb were clean data, with a sequencing depth of 179.3-folds. This genome was estimated to be 522.6 Mb in size, with the heterozygosity, repeat content and GC content being 0.63%, 21% and 44%. A total of 630,028 microsatellites were identified from the genome, of which, dinucleotide repeat was the most abundant (56.80%), followed by mononucleotide repeat (30.23%). Furthermore, 60 pairs of primers were designed and synthesized based on microsatellite sequences, of which 15 were polymorphic in a wild population. A total of 91 alleles were found, with an average of 6.07 per locus. Number of alleles, observed and expected heterozygosity per locus ranged from two to 13, from 0.250 to 0.862, and from 0.396 to 0.901, respectively. Twelve loci were highly informative (PIC > 0.5), and the others were medium informative (0.25 
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods
  15. Fulltext Next-Generation Biomarkers in Multiple Myeloma: Understanding the Molecular Basis for Potential Use in Diagnosis and Prognosis
    Soliman AM, Das S, Teoh SL
    Int J Mol Sci, 2021 Jul 13;22(14).
    PMID: 34299097 DOI: 10.3390/ijms22147470
    Multiple myeloma (MM) is considered to be the second most common blood malignancy and it is characterized by abnormal proliferation and an accumulation of malignant plasma cells in the bone marrow. Although the currently utilized markers in the diagnosis and assessment of MM are showing promising results, the incidence and mortality rate of the disease are still high. Therefore, exploring and developing better diagnostic or prognostic biomarkers have drawn global interest. In the present review, we highlight some of the recently reported and investigated novel biomarkers that have great potentials as diagnostic and/or prognostic tools in MM. These biomarkers include angiogenic markers, miRNAs as well as proteomic and immunological biomarkers. Moreover, we present some of the advanced methodologies that could be utilized in the early and competent diagnosis of MM. The present review also focuses on understanding the molecular concepts and pathways involved in these biomarkers in order to validate and efficiently utilize them. The present review may also help in identifying areas of improvement for better diagnosis and superior outcomes of MM.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
  16. 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: High-Throughput Nucleotide Sequencing/methods*
  17. Fulltext Assessment and Clinical Utility of a Non-Next-Generation Sequencing-Based Non-Invasive Prenatal Testing Technology
    Gormus U, Chaubey A, Shenoy S, Wong YW, Chan LY, Choo BP, et al.
    Curr Issues Mol Biol, 2021 Aug 17;43(2):958-964.
    PMID: 34449543 DOI: 10.3390/cimb43020068
    Background: Rolling-circle replication (RCR) is a novel technology that has not been applied to cell-free DNA (cfDNA) testing until recently. Given the cost and simplicity advantages of this technology compared to other platforms currently used in cfDNA analysis, an assessment of RCR in clinical laboratories was performed. Here, we present the first validation study from clinical laboratories utilizing RCR technology. Methods: 831 samples from spontaneously pregnant women carrying a singleton fetus, and 25 synthetic samples, were analyzed for the fetal risk of trisomy 21 (T21), trisomy 18 (T18) and trisomy 13 (T13), by three laboratories on three continents. All the screen-positive pregnancies were provided post-test genetic counseling and confirmatory diagnostic invasive testing (e.g., amniocentesis). The screen-negative pregnancies were routinely evaluated at birth for fetal aneuploidies, using newborn examinations, and any suspected aneuploidies would have been offered diagnostic testing or confirmed with karyotyping. Results: The study found rolling-circle replication to be a highly viable technology for the clinical assessment of fetal aneuploidies, with 100% sensitivity for T21 (95% CI: 82.35-100.00%); 100.00% sensitivity for T18 (71.51-100.00%); and 100.00% sensitivity for T13 analyses (66.37-100.00%). The specificities were >99% for each trisomy (99.7% (99.01-99.97%) for T21; 99.5% (98.62-99.85%) for T18; 99.7% (99.03-99.97%) for T13), along with a first-pass no-call rate of 0.93%. Conclusions: The study showed that using a rolling-circle replication-based cfDNA system for the evaluation of the common aneuploidies would provide greater accuracy and clinical utility compared to conventional biochemical screening, and it would provide comparable results to other reported cfDNA methodologies.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
  18. Rapid detection of α-thalassaemia variants using droplet digital PCR
    Lee TY, Lai MI, Ramachandran V, Tan JA, Teh LK, Othman R, et al.
    Int J Lab Hematol, 2016 Aug;38(4):435-43.
    PMID: 27349818 DOI: 10.1111/ijlh.12520
    INTRODUCTION: Alpha thalassaemia is a highly prevalent disease globally and is a well-known public health problem in Malaysia. The deletional forms of the mutation are the most common forms found in alpha thalassaemia. The three most common deletional alpha thalassaemia found in this region include --(SEA) deletion, -α(3.7) rightward and -α(4.2) leftward deletions. The prevalence rate of triplication alpha cases such as ααα(anti3.7) and ααα(anti4.2) is not known in Malaysia although it plays a role in exacerbating the clinical phenotypes in beta thalassaemia carriers. Recently, there have been more reported cases of rare alpha thalassaemia mutations due to the advancement of molecular techniques involved in thalassaemia detections. Therefore, it is essential to develop a new method which allows the detection of different alpha thalassaemia mutations including the rare ones simultaneously and accurately.

    METHODS: The purpose of this study was to design an assay for the detection of triplications, common and rare deletional alpha thalassaemia using droplet digital PCR (ddPCR).

    RESULTS: This is a quantitative detection method to measure the changes of copy number which can detect deletions, duplications and triplications of the alpha globin gene simultaneously.

    CONCLUSION: In conclusion, ddPCR is an alternative method for rapid detection of alpha thalassaemia variants in Malaysia.

    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
  19. Evaluation of Y chromosomal SNP haplogrouping in the HID-Ion AmpliSeq™ Identity Panel
    Ochiai E, Minaguchi K, Nambiar P, Kakimoto Y, Satoh F, Nakatome M, et al.
    Leg Med (Tokyo), 2016 Sep;22:58-61.
    PMID: 27591541 DOI: 10.1016/j.legalmed.2016.08.001
    The Y chromosomal haplogroup determined from single nucleotide polymorphism (SNP) combinations is a valuable genetic marker to study ancestral male lineage and ethical distribution. Next-generation sequencing has been developed for widely diverse genetics fields. For this study, we demonstrate 34 Y-SNP typing employing the Ion PGM™ system to perform haplogrouping. DNA libraries were constructed using the HID-Ion AmpliSeq™ Identity Panel. Emulsion PCR was performed, then DNA sequences were analyzed on the Ion 314 and 316 Chip Kit v2. Some difficulties became apparent during the analytic processes. No-call was reported at rs2032599 and M479 in six samples, in which the least coverage was observed at M479. A minor misreading occurred at rs2032631 and M479. A real time PCR experiment using other pairs of oligonucleotide primers showed that these events might result from the flanking sequence. Finally, Y haplogroup was determined completely for 81 unrelated males including Japanese (n=59) and Malay (n=22) subjects. The allelic divergence differed between the two populations. In comparison with the conventional Sanger method, next-generation sequencing provides a comprehensive SNP analysis with convenient procedures, but further system improvement is necessary.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods
  20. Fulltext De novo sequencing, assembly and analysis of eight different transcriptomes from the Malayan pangolin
    Mohamed Yusoff A, Tan TK, Hari R, Koepfli KP, Wee WY, Antunes A, et al.
    Sci Rep, 2016 09 13;6:28199.
    PMID: 27618997 DOI: 10.1038/srep28199
    Pangolins are scale-covered mammals, containing eight endangered species. Maintaining pangolins in captivity is a significant challenge, in part because little is known about their genetics. Here we provide the first large-scale sequencing of the critically endangered Manis javanica transcriptomes from eight different organs using Illumina HiSeq technology, yielding ~75 Giga bases and 89,754 unigenes. We found some unigenes involved in the insect hormone biosynthesis pathway and also 747 lipids metabolism-related unigenes that may be insightful to understand the lipid metabolism system in pangolins. Comparative analysis between M. javanica and other mammals revealed many pangolin-specific genes significantly over-represented in stress-related processes, cell proliferation and external stimulus, probably reflecting the traits and adaptations of the analyzed pregnant female M. javanica. Our study provides an invaluable resource for future functional works that may be highly relevant for the conservation of pangolins.
    Matched MeSH terms: High-Throughput Nucleotide Sequencing/methods*
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