scholarly journals Next-generation microbiology: from comparative genomics to gene function

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Carolin M. Kobras ◽  
Andrew K. Fenton ◽  
Samuel K. Sheppard

AbstractMicrobiology is at a turning point in its 120-year history. Widespread next-generation sequencing has revealed genetic complexity among bacteria that could hardly have been imagined by pioneers such as Pasteur, Escherich and Koch. This data cascade brings enormous potential to improve our understanding of individual bacterial cells and the genetic basis of phenotype variation. However, this revolution in data science cannot replace established microbiology practices, presenting the challenge of how to integrate these new techniques. Contrasting comparative and functional genomic approaches, we evoke molecular microbiology theory and established practice to present a conceptual framework and practical roadmap for next-generation microbiology.

2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 344.3-344
Author(s):  
F.J. Del Castillo ◽  
T. Caniego ◽  
M. Hurtado-Nédélec ◽  
S. Chollet-Martín ◽  
E. Gόmez-Rosas ◽  
...  

2021 ◽  
Vol 5 (4) ◽  
pp. 1003-1016
Author(s):  
Sylvain Mareschal ◽  
Anna Palau ◽  
Johan Lindberg ◽  
Philippe Ruminy ◽  
Christer Nilsson ◽  
...  

Abstract Although copy number alterations (CNAs) and translocations constitute the backbone of the diagnosis and prognostication of acute myeloid leukemia (AML), techniques used for their assessment in routine diagnostics have not been reconsidered for decades. We used a combination of 2 next-generation sequencing–based techniques to challenge the currently recommended conventional cytogenetic analysis (CCA), comparing the approaches in a series of 281 intensively treated patients with AML. Shallow whole-genome sequencing (sWGS) outperformed CCA in detecting European Leukemia Net (ELN)–defining CNAs and showed that CCA overestimated monosomies and suboptimally reported karyotype complexity. Still, the concordance between CCA and sWGS for all ELN CNA–related criteria was 94%. Moreover, using in silico dilution, we showed that 1 million reads per patient would be enough to accurately assess ELN-defining CNAs. Total genomic loss, defined as a total loss ≥200 Mb by sWGS, was found to be a better marker for genetic complexity and poor prognosis compared with the CCA-based definition of complex karyotype. For fusion detection, the concordance between CCA and whole-transcriptome sequencing (WTS) was 99%. WTS had better sensitivity in identifying inv(16) and KMT2A rearrangements while showing limitations in detecting lowly expressed PML-RARA fusions. Ligation-dependent reverse transcription polymerase chain reaction was used for validation and was shown to be a fast and reliable method for fusion detection. We conclude that a next-generation sequencing–based approach can replace conventional CCA for karyotyping, provided that efforts are made to cover lowly expressed fusion transcripts.


PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0143588 ◽  
Author(s):  
Patrícia B. S. Celestino-Soper ◽  
Anisiia Doytchinova ◽  
Hillel A. Steiner ◽  
Andrea Uradu ◽  
Ty C. Lynnes ◽  
...  

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1515-1515
Author(s):  
Michele Caroline Gornick ◽  
Jun Li ◽  
Jishu Xu ◽  
Stephen B. Gruber

1515 Background: Rare monogenic disorders are often due to mutations that are highly penetrant, extremely rare, and strongly disrupt normal biology. Hereditary mixed polyposis syndrome (HMPS, OMIM ID %601228), is characterized by a mixture of atypical juvenile polyps, hyperplasic polyps, sessile serrated adenomas and an increased risk of colorectal cancer. Polyps appear to be inherited in an autosomal dominant fashion. The putative susceptibility locus initially mapped to 15q13-14, however, the genetic basis of this syndrome is not well understood, and no mutation or associated variants have been identified. Methods: Germline DNA from four individuals from a family with clinically and pathologically confirmed HMPS was subjected to massively parallel sequencing (Illumina GAII). Affected individuals had an average of 30x coverage of their exome and 10x coverage of their genome. Sequence calls were filtered using the criteria of ≥ 4x coverage, quality score over depth ≤ 50, depth of coverage ≤ 360, allele balance ≤ 0.75, number or MAPQ zero reads at locus < 4. Common variants were filtered out by excluding variants found in dbSNP (build131), 1000 Genomes Project, the Exome Variant Server or 80 unaffected controls sequenced by hybrid capture and whole exome sequencing. Polyphen2 and SIFT were used to predict pathogenicity of the novel, shared variants, and validated by Sanger sequencing. Expression levels of novel variants were examined in available tumor samples using qRT-PCR. Results: From the 32 previously unidentified nonsense, missense or splice site variants shared by the family members whose whole genomes were sequenced, only 5 (4 missense, 1 nonsense) were predicted to be damaging, leading to a small subset of novel candidate genes including ZNF426, which may be responsible for HMPS within this family. Conclusions: HMPS extremely difficult to accurately diagnosis and the genetic basis is unknown. Using next-generation sequencing we were able to detect previously unidentified low frequency allelic variants including a novel candidate locus.


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