scholarly journals Loss of the IR region in conifer plastomes: Changes in the selection pressure and substitution rate of protein‐coding genes

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Jingyao Ping ◽  
Jing Hao ◽  
Jinye Li ◽  
Yiqing Yang ◽  
Yingjuan Su ◽  
...  
Keyword(s):  
Substitution Rate ◽  
Selection Pressure ◽  
Protein Coding ◽  
Protein Coding Genes

scholarly journals Protein-Coding Genes of Helicobacter pylori Predominantly Present Purifying Selection though Many Membrane Proteins Suffer from Selection Pressure: A Proposal to Analyze Bacterial Pangenomes

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 377
Author(s):  
Alejandro Rubio ◽  
Antonio Pérez-Pulido
Keyword(s):  
Helicobacter Pylori ◽  
Membrane Proteins ◽  
Selection Pressure ◽  
Purifying Selection ◽  
Protein Coding ◽  
Evolutionary Selection ◽  
Protein Coding Genes ◽  
The Core ◽  
Genes Encoding ◽  
Selection For

The current availability of complete genome sequences has allowed knowing that bacterial genomes can bear genes not present in the genome of all the strains from a specific species. So, the genes shared by all the strains comprise the core of the species, but the pangenome can be much greater and usually includes genes appearing in one only strain. Once the pangenome of a species is estimated, other studies can be undertaken to generate new knowledge, such as the study of the evolutionary selection for protein-coding genes. Most of the genes of a pangenome are expected to be subject to purifying selection that assures the conservation of function, especially those in the core group. However, some genes can be subject to selection pressure, such as genes involved in virulence that need to escape to the host immune system, which is more common in the accessory group of the pangenome. We analyzed 180 strains of Helicobacter pylori, a bacterium that colonizes the gastric mucosa of half the world population and presents a low number of genes (around 1500 in a strain and 3000 in the pangenome). After the estimation of the pangenome, the evolutionary selection for each gene has been calculated, and we found that 85% of them are subject to purifying selection and the remaining genes present some grade of selection pressure. As expected, the latter group is enriched with genes encoding for membrane proteins putatively involved in interaction to host tissues. In addition, this group also presents a high number of uncharacterized genes and genes encoding for putative spurious proteins. It suggests that they could be false positives from the gene finders used for identifying them. All these results propose that this kind of analyses can be useful to validate gene predictions and functionally characterize proteins in complete genomes.

scholarly journals Runs of Homozygosity as Footprints of Selection in the Norik of Muran Horse Genome

2019 ◽  
Vol 67 (5) ◽  
pp. 1165-1170 ◽  
Author(s):  
Nina Moravčíková ◽  
Radovan Kasarda ◽  
Ondrej Kadlečík ◽  
Anna Trakovická ◽  
Marko Halo ◽  
...  
Keyword(s):  
Selection Pressure ◽  
Wide Distribution ◽  
Runs Of Homozygosity ◽  
Protein Coding ◽  
Strong Selection ◽  
Protein Coding Genes ◽  
Horse Genome ◽  
Genome Wide ◽  
Genomic Regions ◽  
Intensive Breeding

The aim of this study was to analyse the genome-wide distribution of runs of homozygosity (ROH) segments in the genome of Norik of Muran horse and to identify the regions under strong selection pressure. Overall, 25 animals genotyped by the GGP Equine70k chip were included in the study. After SNP pruning, 54479 SNPs (75.72%) covering 2.25 Gb of the autosomal genome were retained for scan of ROH segments distribution. The ROHs were present in the genome of all animals and covered in average 13.17% (295.29 Mb) of autosomal genome expressed by the SNP loci. The highest number of ROHs was identified on autosome 1 (404), while the lowest proportion of autosome residing in ROH showed ECA31 (38). The footprints of selection, characterized by SNPs with extreme frequency in ROHs across specific genomic regions, were defined by the top 0.01 percentile of signals. Overall, nine genomic regions located on seven autosomes (3, 6, 9, 11, 15, 23) were identified. The strongest signal of selection showed three autosomes ECA3, ECA9 and ECA11. The protein-coding genes located within these regions suggested that the identified footprints of selection are most likely consequences of intensive breeding for traits of interest during the grading-up process of the Norik of Muran horse.

Polyphyletic Origins of Schizothoracinae Fishes (Cyprinidae) in Respect to Their Mitochondrial Protein-Coding Genes

2019 ◽  
Vol 07 (02) ◽  
Author(s):  
Saira Bibi ◽  
Muhammad Fiaz Khan ◽  
Aqsa Rehman ◽  
Faisal Nouroz
Keyword(s):  
Mitochondrial Protein ◽  
Protein Coding ◽  
Protein Coding Genes
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