Literature DB >> 33727728

Use of Mathematical Methods for the Biosafety Assessment of Agricultural Crops.

E V Korotkov1, I V Yakovleva1, A M Kamionskaya1.   

Abstract

In Russia and around the world, there are important questions regarding the potential threats to national and biological safety created by genetic technologies and the need to improve or introduce new, justified, and adequate measures for their control, regulation, and prevention. The article shows that a significant volume of the global market is occupied by five major transgenic crops, and producers are ready to switch to crops with an edited genome that has been approved in the United States, Argentina, and other countries. We propose a qualitatively new approach to the risk assessment of edited plants, "Safe Design," and we have also developed an extremely important, fundamentally new approach to the development of methods that combine next-generation sequencing (NGS) and Bioinformatics for the assessment of the crop import biosafety. The proposed mathematical approach provides a detailed analysis of the possible insertions of DNA fragments into the genome of edited crops and a clarification of their biological significance. The developed method can be used in the rapid screening of plants for the presence of potentially dangerous genes, viral sequences, and nonspecific promoter sequences. © Pleiades Publishing, Inc. 2021, ISSN 0003-6838, Applied Biochemistry and Microbiology, 2021, Vol. 57, No. 2, pp. 271–279. © Pleiades Publishing, Inc., 2021.Russian Text
© The Author(s), 2021, published in Prikladnaya Biokhimiya i Mikrobiologiya, 2021, Vol. 57, No. 2, pp. 196–205.

Entities:  

Keywords:  alignment; biosafety; dynamic programming; full genomes; gene-edited plants; insertions; mutations; safe design; transgenic crops

Year:  2021        PMID: 33727728      PMCID: PMC7952145          DOI: 10.1134/S000368382102006X

Source DB:  PubMed          Journal:  Appl Biochem Microbiol        ISSN: 0003-6838            Impact factor:   0.886


  28 in total

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Authors:  Robert D Finn; Jaina Mistry; John Tate; Penny Coggill; Andreas Heger; Joanne E Pollington; O Luke Gavin; Prasad Gunasekaran; Goran Ceric; Kristoffer Forslund; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971

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Authors:  Javier Herrero; Matthieu Muffato; Kathryn Beal; Stephen Fitzgerald; Leo Gordon; Miguel Pignatelli; Albert J Vilella; Stephen M J Searle; Ridwan Amode; Simon Brent; William Spooner; Eugene Kulesha; Andrew Yates; Paul Flicek
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6.  GMOs in Russia: Research, Society and Legislation.

Authors:  I V Korobko; P G Georgiev; K G Skryabin; M P Kirpichnikov
Journal:  Acta Naturae       Date:  2016 Oct-Dec       Impact factor: 1.845

7.  Refined sgRNA efficacy prediction improves large- and small-scale CRISPR-Cas9 applications.

Authors:  Maurice Labuhn; Felix F Adams; Michelle Ng; Sabine Knoess; Axel Schambach; Emmanuelle M Charpentier; Adrian Schwarzer; Juan L Mateo; Jan-Henning Klusmann; Dirk Heckl
Journal:  Nucleic Acids Res       Date:  2018-02-16       Impact factor: 16.971

8.  G4PromFinder: an algorithm for predicting transcription promoters in GC-rich bacterial genomes based on AT-rich elements and G-quadruplex motifs.

Authors:  Marco Di Salvo; Eva Pinatel; Adelfia Talà; Marco Fondi; Clelia Peano; Pietro Alifano
Journal:  BMC Bioinformatics       Date:  2018-02-06       Impact factor: 3.169

9.  Plant gene editing through de novo induction of meristems.

Authors:  Michael F Maher; Ryan A Nasti; Macy Vollbrecht; Colby G Starker; Matthew D Clark; Daniel F Voytas
Journal:  Nat Biotechnol       Date:  2019-12-16       Impact factor: 68.164

10.  GenBank.

Authors:  Dennis A Benson; Mark Cavanaugh; Karen Clark; Ilene Karsch-Mizrachi; David J Lipman; James Ostell; Eric W Sayers
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

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