Genome sequencing and comparative genomics

JW Jing Wang
YF Youjun Feng
CW Changjun Wang
FZ Feng Zheng
BH Bachar Hassan
LZ Liming Zhi
WL Wenjuan Li
YY Yi Yao
EH Elaine He
SJ Shibo Jiang
JT Jiaqi Tang
request Request a Protocol
ask Ask a question
Favorite

The 05HAS68 S. suis genome was sequenced and assembled using the routine random shotgun method [12]. Prediction of putative coding sequences (CDSs) and gene annotation were done using the NCBI’s Microbial Genome Annotation Tools and Genome Annotation Pipeline (http://www.ncbi.nlm.nih.gov/genome/browse/reference/). The predictions and the slices were then searched against the NCBI Entrez Protein Cluster database (https://www.ncbi.nlm.nih.gov/proteinclusters/browse/stats/) as well as proteins from all complete microbial genomes. The genome sequence feature information was visualized using the CGView genome visualization program ([13] http://stothard.afns.ualberta.ca/). Annotation was supplied from both sets and supplemented with information from the Conserved Domain Database (https://www.ncbi.nlm.nih.gov/cdd) and from Clusters of Orthologous Groups [14]. The protein sets of strains 98HAH33, P1/5 and 05HAS68 were compared using FASTA3. The sequence alignment was produced by Mauve Genome software [14] and the phylogenetic tree was built using CLC Genomics Workbench 3.2 software (https://www.qiagenbioinformatics.com/genomics/). Comparison of S. suis genome structures was done as follows: pair wise comparisons of the P1/7, 05ZYH33 and 05HAS68 displayed chromosomes was done using the Artemis Comparison Tool (ACT) [15, 16] and a dot matrix was used to show the relatedness of genome sequences generated with MUMmer [17]. The 05HAS68, 98HAH33, 05ZYH33 and P1/7 CRISPR defense systems were analyzed using CRT1.1 software [18]. Identification of the bacterial CRISPR-associated proteins (Cas) adjacent to the CRISPR loci and comparative analysis of proteins from putative prophages, viruses (bacteriophage and viruses of archaea), and plasmid-like sequences was done using the Non-Redundant GenBank databases (https://www.ncbi.nlm.nih.gov/genbank/).

Do you have any questions about this protocol?

Post your question to gather feedback from the community. We will also invite the authors of this article to respond.

post Post a Question
0 Q&A