scholarly journals Author Correction: Simultaneous absolute quantification and sequencing of fish environmental DNA in a mesocosm by quantitative sequencing technique

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tatsuhiko Hoshino ◽  
Ryohei Nakao ◽  
Hideyuki Doi ◽  
Toshifumi Minamoto

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tatsuhiko Hoshino ◽  
Ryohei Nakao ◽  
Hideyuki Doi ◽  
Toshifumi Minamoto

AbstractThe combination of high-throughput sequencing technology and environmental DNA (eDNA) analysis has the potential to be a powerful tool for comprehensive, non-invasive monitoring of species in the environment. To understand the correlation between the abundance of eDNA and that of species in natural environments, we have to obtain quantitative eDNA data, usually via individual assays for each species. The recently developed quantitative sequencing (qSeq) technique enables simultaneous phylogenetic identification and quantification of individual species by counting random tags added to the 5′ end of the target sequence during the first DNA synthesis. Here, we applied qSeq to eDNA analysis to test its effectiveness in biodiversity monitoring. eDNA was extracted from water samples taken over 4 days from aquaria containing five fish species (Hemigrammocypris neglectus, Candidia temminckii, Oryzias latipes, Rhinogobius flumineus, and Misgurnus anguillicaudatus), and quantified by qSeq and microfluidic digital PCR (dPCR) using a TaqMan probe. The eDNA abundance quantified by qSeq was consistent with that quantified by dPCR for each fish species at each sampling time. The correlation coefficients between qSeq and dPCR were 0.643, 0.859, and 0.786 for H. neglectus, O. latipes, and M. anguillicaudatus, respectively, indicating that qSeq accurately quantifies fish eDNA.


2018 ◽  
Author(s):  
Rudolf Fullybright

Accurate quantification of biological resistance has been impossible so far. Among the various forms of biological resistance which exist in nature, pathogen resistance to drugs is a familiar one. However, as in the case of other forms of resistance, accurately quantifying drug resistance in pathogens has been impossible up to now. Here, we introduce a mathematically-defined and uniform procedure for the absolute quantification of biological resistance deployed by any living organism in the biological realm, including and beyond drug resistance in medicine. The scheme introduced makes possible the exact measurement or computation of the extent to which resistance is deployed by any living organism regardless of kingdom and regardless of the mechanism of resistance involved. Furthermore, the Second Law of Resistance indicating that resistance has the potential to increase to infinite levels, and the Third Law of Resistance indicating that resistance comes to an end once interaction stops, the resistance unit function introduced here is fully compatible with both the Second and Third Laws of Resistance.


2011 ◽  
pp. 28-35
Author(s):  

Background: The C677T polymorphism of MTHFR gene is a risk factor of many diseases. This study is aimed at: (1) Improving a PCR-RFLP process with the own designed primers to identify the C677T polymorphism of MTHFR gene. (2) Evaluating the prevalence of the C677T polymorphism of MTHFR gene in volunteer group. Materials and method: DNA samples was extracted from peripheral blood of 60 volunteers. Designing primers by using FastPCR software, then improving PCR technique. Standardizing the optimal conditions of restriction digest by HinfI. Confirming the results of polymorphism by DNA sequencing technique. Results: We designed successfully primers to amplify fragment of MTHFR gene including C677T polymorphism and an obligatory restriction site of HinfI (as internal control). 0.5 µl of HinfI enzyme (10 U/µl) is enough for restriction digest. The MTHFR genotype frequencies were: 71.67 % (677CC); 25% (677CT); and 3.33 % (677TT). Conclusion: We standardized successfully PCR-RFLP technique to identifying C677T polymorphism of MTHFR gene. Keywords: C677T polymorphism, MTHFR gene, PCR-RFLP


Author(s):  
Yoshihisa AKAMATSU ◽  
Takayoshi TSUZUKI ◽  
Ryota YOKOYAMA ◽  
Yayoi FUNAHASHI ◽  
Munehiro OHTA ◽  
...  

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