Potential applications of soil microbial ecology and next-generation sequencing in criminal investigations

2015 ◽  
Vol 88 ◽  
pp. 69-78 ◽  
Author(s):  
Sheree J. Finley ◽  
M. Eric Benbow ◽  
Gulnaz T. Javan
2016 ◽  
Vol 4 (1) ◽  
pp. 17-19
Author(s):  
Margherita Nannini ◽  
Maria A. Pantaleo

Advances in tumor genome sequencing using next generation sequencing (NGS) technologies have facilitated a greater understanding of the genetic abnormalities involved in cancer development and progression, dramatically changing oncology research. There are several different types of NGS technologies. Whole genome sequencing (WGS) determines the sequence of the complete genome, providing information on both coding and non-coding regions and structural variants. However, use is limited by the large volume of data generated, and associated time and resource costs. Whole exome sequencing (WES) determines the sequence of coding regions only, making it faster and cheaper than WGS, and the functional consequences of variants are easier to interpret. However, all variations in non-coding regions are missed. WGS and WES are often used together to maximize detection of variants. A less costly approach is the use of targeted sequencing, which focuses on particular regions of interest, based on their biological relevance. NGS technologies can also be used to sequence RNA, referred to as RNA-Seq. All these NGS technologies, individually or in combination, have a number of potential applications, including identification of biomarkers, and development of diagnostic and therapeutic strategies. However, although advances have been made, there are a number of limitations to be overcome before NGS technologies are routinely applied in both research and clinical practice.


Minerals ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 596 ◽  
Author(s):  
Shuang Zhou ◽  
Min Gan ◽  
Jianyu Zhu ◽  
Xinxing Liu ◽  
Guanzhou Qiu

It is widely known that bioleaching microorganisms have to cope with the complex extreme environment in which microbial ecology relating to community structure and function varies across environmental types. However, analyses of microbial ecology of bioleaching bacteria is still a challenge. To address this challenge, numerous technologies have been developed. In recent years, high-throughput sequencing technologies enabling comprehensive sequencing analysis of cellular RNA and DNA within the reach of most laboratories have been added to the toolbox of microbial ecology. The next-generation sequencing technology allowing processing DNA sequences can produce available draft genomic sequences of more bioleaching bacteria, which provides the opportunity to predict models of genetic and metabolic potential of bioleaching bacteria and ultimately deepens our understanding of bioleaching microorganism. High-throughput sequencing that focuses on targeted phylogenetic marker 16S rRNA has been effectively applied to characterize the community diversity in an ore leaching environment. RNA-seq, another application of high-throughput sequencing to profile RNA, can be for both mapping and quantifying transcriptome and has demonstrated a high efficiency in quantifying the changing expression level of each transcript under different conditions. It has been demonstrated as a powerful tool for dissecting the relationship between genotype and phenotype, leading to interpreting functional elements of the genome and revealing molecular mechanisms of adaption. This review aims to describe the high-throughput sequencing approach for bioleaching environmental microorganisms, particularly focusing on its application associated with challenges.


2010 ◽  
Vol 28 (6) ◽  
pp. 291-299 ◽  
Author(s):  
Seong Woon Roh ◽  
Guy C.J. Abell ◽  
Kyoung-Ho Kim ◽  
Young-Do Nam ◽  
Jin-Woo Bae

2016 ◽  
Vol 12 (3) ◽  
pp. 914-922 ◽  
Author(s):  
Sunguk Shin ◽  
Joonhong Park

Next-generation sequencing (NGS) is a powerful method for functional microbial ecology in a variety of environments including human's body. In this work, novel sequence-specific errors (SSEs) from the currently popular NGS systems and their hotspots were discovered, providing a scientific basis for filtering poor-quality sequence reads from the different NGS systems.


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