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1.
Methods ; 114: 16-27, 2017 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-27595912

RESUMO

This article describes a novel method to identify as yet undiscovered telomere sequences, which combines next generation sequencing (NGS) with BAL31 digestion of high molecular weight DNA. The method was applied to two groups of plants: i) dicots, genus Cestrum, and ii) monocots, Allium species (e.g. A. ursinum and A. cepa). Both groups consist of species with large genomes (tens of Gb) and a low number of chromosomes (2n=14-16), full of repeat elements. Both genera lack typical telomeric repeats and multiple studies have attempted to characterize alternative telomeric sequences. However, despite interesting hypotheses and suggestions of alternative candidate telomeres (retrotransposons, rDNA, satellite repeats) these studies have not resolved the question. In a novel approach based on the two most general features of eukaryotic telomeres, their repetitive character and sensitivity to BAL31 nuclease digestion, we have taken advantage of the capacity and current affordability of NGS in combination with the robustness of classical BAL31 nuclease digestion of chromosomal termini. While representative samples of most repeat elements were ensured by low-coverage (less than 5%) genomic shot-gun NGS, candidate telomeres were identified as under-represented sequences in BAL31-treated samples.


Assuntos
Allium/genética , Cestrum/genética , Endodesoxirribonucleases/metabolismo , Genoma de Planta , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Análise de Sequência de DNA/métodos , Telômero/genética , Cromossomos de Plantas , Genômica
2.
Plant J ; 85(3): 337-47, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26716914

RESUMO

Phylogenetic divergence in Asparagales plants is associated with switches in telomere sequences. The last switch occurred with divergence of the genus Allium (Amaryllidaceae) from the other Allioideae (formerly Alliaceae) genera, resulting in uncharacterized telomeres maintained by an unknown mechanism. To characterize the unknown Allium telomeres, we applied a combination of bioinformatic processing of transcriptomic and genomic data with standard approaches in telomere biology such as BAL31 sensitivity tests, terminal restriction fragment analysis, the telomere repeat amplification protocol (TRAP), and fluorescence in situ hybridization (FISH). Using these methods, we characterize the unusual telomeric sequence (CTCGGTTATGGG)n present in Allium species, demonstrate its synthesis by telomerase, and characterize the telomerase reverse transcriptase (TERT) subunit of Allium cepa. Our findings open up the possibility of studying the molecular details of the evolutionary genetic change in Allium telomeres and its possible role in speciation. Experimental studies addressing the implications of this change in terms of the interplay of telomere components may now be designed to shed more light on telomere functions and evolution in general.


Assuntos
Allium/genética , Cromossomos de Plantas/genética , Evolução Molecular , Telomerase/metabolismo , Telômero/genética , Allium/enzimologia , Sequência de Bases , Biologia Computacional , Genômica , Hibridização in Situ Fluorescente , Filogenia , Análise de Sequência de DNA , Telomerase/genética , Transcriptoma
3.
Artigo em Inglês | MEDLINE | ID: mdl-25570910

RESUMO

We have proposed a novel solution to a fundamental problem encountered in implementing non-ingestion based medical adherence monitoring systems, namely, how to reliably identify pill medication intake. We show how wireless wearable devices with tri-axial accelerometer can be used to detect and classify hand gestures of users during solid-phase medication intake. Two devices were worn on the wrists of each user. Users were asked to perform two activities in the way that is natural and most comfortable to them: (1) taking empty gelatin capsules with water, and (2) drinking water and wiping mouth. 25 users participated in this study. The signals obtained from the devices were filtered and the patterns were identified using dynamic time warping algorithm. Using hand gesture signals, we achieved 84.17 percent true positive rate and 13.33 percent false alarm rate, thus demonstrating that the hand gestures could be used to effectively identify pill taking activity.


Assuntos
Algoritmos , Adesão à Medicação , Monitorização Ambulatorial/instrumentação , Monitorização Ambulatorial/métodos , Tecnologia sem Fio/instrumentação , Acelerometria/instrumentação , Atividades Cotidianas , Adulto , Desenho de Equipamento , Mãos , Humanos , Experimentação Humana não Terapêutica , Comprimidos
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