Investigation of genetic code optimality for overlapping protein coding sequences

2014 ◽  
Author(s):  
Katharina Mir ◽  
Steffen Schober
Keyword(s):  
Genetic Code ◽  
Protein Coding ◽  
Coding Sequences

scholarly journals The structure of the genetic code as an optimal graph clustering problem

2018 ◽  
Author(s):  
Paweł Błażej ◽  
Dariusz R. Kowalski ◽  
Dorota Mackiewicz ◽  
Małgorzata Wnetrzak ◽  
Daniyah A. Aloqalaa ◽  
...  
Keyword(s):  
Genetic Code ◽  
Graph Clustering ◽  
Standard Genetic Code ◽  
Nucleotide Substitutions ◽  
Single Nucleotide ◽  
Protein Coding ◽  
Coding Sequences ◽  
Clustering Problem ◽  
Code Structure

AbstractThe standard genetic code (SGC) is the set of rules by which genetic information is translated into proteins, from codons, i.e. triplets of nucleotides, to amino acids. The questions about the origin and the main factor responsible for the present structure of the code are still under a hot debate. Various methodologies have been used to study the features of the code and assess the level of its potential optimality. Here, we introduced a new general approach to evaluate the quality of the genetic code structure. This methodology comes from graph theory and allows us to describe new properties of the genetic code in terms of conductance. This parameter measures the robustness of codon groups against the potential changes in translation of the protein-coding sequences generated by single nucleotide substitutions. We described the genetic code as a partition of an undirected and unweighted graph, which makes the model general and universal. Using this approach, we showed that the structure of the genetic code is a solution to the graph clustering problem. We presented and discussed the structure of the codes that are optimal according to the conductance. Despite the fact that the standard genetic code is far from being optimal according to the conductance, its structure is characterised by many codon groups reaching the minimum conductance for their size. The SGC represents most likely a local minimum in terms of errors occurring in protein-coding sequences and their translation.

scholarly journals Draft Genome Sequence of Urease-Producing Pseudorhodobacter sp. Strain E13, Isolated from the Yellow Sea in Gunsan, South Korea

2019 ◽  
Vol 8 (23) ◽  
Author(s):  
Si Chul Kim ◽  
Hyo Jung Lee
Keyword(s):  
South Korea ◽  
Genome Sequence ◽  
Yellow Sea ◽  
Draft Genome ◽  
The Yellow Sea ◽  
Draft Genome Sequence ◽  
Protein Coding ◽  
Coding Sequences ◽  
Gram Negative ◽  
Content Type

Here, we report the draft genome sequence of Pseudorhodobacter sp. strain E13, a Gram-negative, aerobic, nonflagellated, and rod-shaped bacterium which was isolated from the Yellow Sea in South Korea. The assembled genome sequence is 3,878,578 bp long with 3,646 protein-coding sequences in 159 contigs.

scholarly journals Evolutionary Patterns of Sex-Biased Genes in Three Species of Haplodiploid Insects

Insects ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 326
Author(s):  
Yu-Jun Wang ◽  
Hua-Ling Wang ◽  
Xiao-Wei Wang ◽  
Shu-Sheng Liu
Keyword(s):  
Gene Expression ◽  
Slow Rate ◽  
Species Complex ◽  
Evolutionary Patterns ◽  
Protein Coding ◽  
Coding Sequences ◽  
Species Comparisons ◽  
Differential Gene ◽  
Males And Females ◽  
And Behavior

Females and males often differ obviously in morphology and behavior, and the differences between sexes are the result of natural selection and/or sexual selection. To a great extent, the differences between the two sexes are the result of differential gene expression. In haplodiploid insects, this phenomenon is obvious, since males develop from unfertilized zygotes and females develop from fertilized zygotes. Whiteflies of the Bemisia tabaci species complex are typical haplodiploid insects, and some species of this complex are important pests of many crops worldwide. Here, we report the transcriptome profiles of males and females in three species of this whitefly complex. Between-species comparisons revealed that non-sex-biased genes display higher variation than male-biased or female-biased genes. Sex-biased genes evolve at a slow rate in protein coding sequences and gene expression and have a pattern of evolution that differs from those of social haplodiploid insects and diploid animals. Genes with high evolutionary rates are more related to non-sex-biased traits—such as nutrition, immune system, and detoxification—than to sex-biased traits, indicating that the evolution of protein coding sequences and gene expression has been mainly driven by non-sex-biased traits.

scholarly journals Draft Genome Sequences of 10 Clinical K2-Type Klebsiella pneumoniae Strains Isolated in Russia

2018 ◽  
Vol 7 (14) ◽  
Author(s):  
Nikolay V. Volozhantsev ◽  
Angelina A. Kislichkina ◽  
Anastasia I. Lev ◽  
Ekaterina V. Solovieva ◽  
Vera P. Myakinina ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Klebsiella Pneumoniae ◽  
Draft Genome ◽  
Capsular Type ◽  
Genome Sequences ◽  
Protein Coding ◽  
Coding Sequences ◽  
Content Type ◽  
Neurosurgical Intensive Care ◽  
Neurosurgical Intensive Care Unit

We report here the genome sequences of 10 Klebsiella pneumoniae strains of capsular type K2 isolated in Russia from patients in an infectious clinical hospital and neurosurgical intensive care unit. The draft genome sizes range from 5.34 to 5.87 Mb and include 5,448 to 6,137 protein-coding sequences.

scholarly journals Genome Sequence of Rheinheimera salexigens sp. nov. Isolated from a Fishing Hook off O‘ahu, Hawai‘i

2016 ◽  
Vol 4 (6) ◽  
Author(s):  
Xuehua Wan ◽  
Shaobin Hou ◽  
Kazukuni Hayashi ◽  
James Anderson ◽  
Stuart P. Donachie
Keyword(s):  
Genome Sequence ◽  
Draft Genome ◽  
Draft Genome Sequence ◽  
Protein Coding ◽  
Coding Sequences ◽  
Coding Regions ◽  
Roche 454

Rheinheimera salexigens KH87 T is an obligately halophilic gammaproteobacterium. The strain’s draft genome sequence, generated by the Roche 454 GS FLX+ platform, comprises two scaffolds of ~3.4 Mbp and ~3 kbp, with 3,030 protein-coding sequences and 58 tRNA coding regions. The G+C content is 42 mol%.

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