Team II Functional Annotation Group

Team 2: Functional Annotation

Team Members: Danielle Temples, Courtney Astore, Rhiya Sharma, Ujani Hazra, Sooyoun Oh

Introduction

What is Functional Annotation?

The practice of putting biological meaning to coding genes (genes that encode proteins) and their corresponding protein sequences. Such annotations can be derived using homology and ab initio based approaches, which will be further explained in subsequent sections.

Objective: Perform a full functional annotation on the genes and proteins determined by the Gene Prediction group that is relevant to C. jejuni

Homology Approaches

• Determine function via sequence similarity to already functionally annotated sequences
• Limited by what we already know.

Ab Initio Approaches

• Determine function via predictive model without comparing to existing sequences
• Based on laws of nature
• Difficult to verify without experiments

Data Overview

We received 50 fna and 50 faa files from the gene prediction group. The 50 fna files are multifasta files representing each genome. The 50 faa files are multifasta files representing each proteome.

Homology Methods

Categories

Prophage:

• Play an important role in the evolution of bacterial genomes and their pathogenicity​
• Can change or knock out gene functions; alter gene expression

Virulence:

• A pathogen's ability to infect or damage a host
• Ex: toxins, surface coats that inhibit phagocytosis, surface receptors that bind to host cells

Fully Automated Functional Annotation:​

• Tools that annotate a spectrum of features related to the function

Antibiotic Resistance

• When bacteria develop the ability to defeat the drugs designed to kill them
• Leads to higher medical costs, prolonged hospital stays, and increased mortality​

Operons:

• A functional unit of transcription and genetic regulation​
• Identifying these may enhance our knowledge of gene regulation & function which is a key addition to genome annotation