Ag Data Commons
Browse
- No file added yet -

Draft genome resources for Chicken Coccidiosis Causal Agents for developing improved control strategies for Avian Coccidosis

dataset
posted on 2024-09-29, 06:56 authored by USDA-ARS Animal Parasitic Diseases Lab
Eimeria maxima is considered one of the most important coccidian species because it affects nutrient uptake and predisposes chickens to necrotic enteritis caused by Clostridium perfringens. Differences in the virulence and immunogenicity of E. maxima strains have been observed by researchers. Our laboratory has developed draft genome sequences for a highly virulent strain, namely E. maxima APU1 and a less virulent strain named E. maxima APU2. The genome sequences of these two strains- E. maxima APU1 and APU2 were obtained by long read Oxford Nanopore Technology (ONT). These high-quality reads passed through quality check parameters and assembled into 54.25 Mb with 7693 genes (E. maxima APU1) and 54.78 Mb with 7813 genes (E. maxima APU2) genomes, using hybrid assembly method. The other related Eimeria species (E. acervulina APU1, E. tenella APU2, and E. maxima APU3) are being sequenced followed by downstream analysis i.e., gene annotation, identification on common and unique genic candidates and comparative genomics analyses to understand the biological significance of these predicted genes and their putative roles. The genome sequence and annotations of these genomes of major Eimeria species, including characterizing genetic markers that allow for the development of markers for species identification that could help understand and unravel the basis for pathogenicity of these protozoa.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2022-12-16

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

genomics; sequence analysis; genome

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA913161

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA913161 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC