Exaptation of Protein Coding Sequences from Transposable Elements

2007 ◽  
pp. 147-162 ◽  
Author(s):  
N.J. Bowen ◽  
I.K. Jordan
Keyword(s):  
Transposable Elements ◽  
Protein Coding ◽  
Coding Sequences

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%.

scholarly journals Draft Genome Sequence of Freshwater-Derived Streptomyces sp. Strain BPSDS2, Isolated from Damte Stream, Northeast India

2019 ◽  
Vol 8 (43) ◽  
Author(s):  
Zothanpuia ◽  
Ajit Kumar Passari ◽  
Purbajyoti Deka ◽  
Vinay Rajput ◽  
Lakshmi P. M. Priya ◽  
...  
Keyword(s):  
Genome Sequence ◽  
Draft Genome ◽  
Northeast India ◽  
Draft Genome Sequence ◽  
Freshwater Sediments ◽  
Protein Coding ◽  
Coding Sequences ◽  
Content Type ◽  
Streptomyces Sp

We report the draft genome sequence of Streptomyces sp. strain BPSDS2, isolated from freshwater sediments in Northeast India. The draft genome has a size of 8.27 Mb and 7,559 protein-coding sequences.

scholarly journals You're one in a googol: optimizing genes for protein expression

2009 ◽  
Vol 6 (suppl_4) ◽  
Author(s):  
Mark Welch ◽  
Alan Villalobos ◽  
Claes Gustafsson ◽  
Jeremy Minshull
Keyword(s):  
Protein Expression ◽  
Dna Sequences ◽  
Ad Hoc ◽  
Protein Coding ◽  
Vast Number ◽  
Coding Sequences ◽  
Affect Expression ◽  
Continue Work ◽  
Existing Data ◽  
Rational Sequence

A vast number of different nucleic acid sequences can all be translated by the genetic code into the same amino acid sequence. These sequences are not all equally useful however; the exact sequence chosen can have profound effects on the expression of the encoded protein. Despite the importance of protein-coding sequences, there has been little systematic study to identify parameters that affect expression. This is probably because protein expression has largely been tackled on an ad hoc basis in many independent projects: once a sequence has been obtained that yields adequate expression for that project, there is little incentive to continue work on the problem. Synthetic biology may now provide the impetus to transform protein expression folklore into design principles, so that DNA sequences may easily be designed to express any protein in any system. In this review, we offer a brief survey of the literature, outline the major challenges in interpreting existing data and constructing robust design algorithms, and propose a way to proceed towards the goal of rational sequence engineering.

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