MHC-linked microsatellite LEI0258 variability and population structure of chicken ecotypes in Iran.

A significant genetic structure that is not completely homogeneous among the Iranian chicken populations can be considered as distinct genetic resources. This study highlights the value of using markers such as LEI0258 to investigate the diversity of genes that play dual roles in immunity and production.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-01-01
DOI
https://doi.org/10.22099/ijvr.2024.50968.7544
Primary Topic
Animal Virus Infections Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MHC-linked microsatellite LEI0258 variability and population structure of chicken ecotypes in Iran.

Gholamreza Nikbakht Brujeni, Kaveh Parvandar Asadollahi, Amin Ramezani, N Sheikhi
PubMed
Animal Virus Infections Studies
article

MHC-linked microsatellite LEI0258 variability and population structure of chicken ecotypes in Iran.

Gholamreza Nikbakht Brujeni, Kaveh Parvandar Asadollahi, Amin Ramezani, N Sheikhi
article en

Abstract

A significant genetic structure that is not completely homogeneous among the Iranian chicken populations can be considered as distinct genetic resources. This study highlights the value of using markers such as LEI0258 to investigate the diversity of genes that play dual roles in immunity and production.

PubMedVol. 25(4)
Islamic Azad University, Science and Research Branch (IR), University of Tehran (IR)
Openalex Percentile: Top 89%
Animal Virus Infections Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.