Jiuzhou "John" Song

About

Dr. Jiuzhou 'John' Song is a Professor in the Department of Animal & Avian Sciences at the University of Maryland. His research focuses on elucidating the genetic basis and epigenetic mechanisms underlying the genome to phenome relationship, particularly in the context of complex diseases and quantitative traits of livestock animals and humans. He develops statistical approaches to study the interaction between livestock genomes and environmental factors, aiming to discover alleles and epi-alleles that serve as biomarkers for response modification to environmental stimuli. His work includes global systems biology analysis by integrating genetic, genomic, and epigenetic data, as well as modeling and epigenetics in the reprogramming of chicken stem cells. Additionally, Dr. Song investigates strategies for animal disease prevention and improving livestock performance. He has openings in statistical genomics and genetics within his lab, and interested parties can contact him for more information.

Research topics

• Biology
• Genetics
• Food science
• Ecology
• Cell biology
• Bioinformatics
• Animal science

Selected publications

• Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle

  Genomics · 2021 · 60 citations

  DOI

• Rumen Microbial Predictors for Short-Chain Fatty Acid Levels and the Grass-Fed Regimen in Angus Cattle

  Animals · 2022 · 30 citations

  Senior authorCorresponding

  = 0.87), which could be developed as a valuable biomarker for optimizing milk fat yield and cattle growth. Therefore, our findings provided novel insights into microbial interactions in the rumen under different feed schemes and their ecophysiological implications. These findings will help to develop rumen manipulation strategies to improve feed conversion ratios and average daily weight gains for grass- or pasture-fed cattle production.

  PublisherOA PDFDOI

• The Profiling of DNA Methylation and Its Regulation on Divergent Tenderness in Angus Beef Cattle

  Frontiers in Genetics · 2020 · 24 citations

  Senior authorCorresponding

  , were the significant pathways related with beef tenderness. Moreover, we explored the relationship between DNA methylation and gene expression in DMRs. Some methylated genes were identified as candidate biomarkers for beef tenderness. These results provide not only novel epigenetic information associated with beef quality but offer more significant insights into meat science, which will further help us explore the mechanism of muscle biology.

  DOI

• Narrow H3K4me2 is required for chicken PGC formation

  Journal of Cellular Physiology · 2020 · 22 citations

  The development of primordial germ cells (PGCs) undergoes epigenetic modifications. The study of histone methylation in regulating PGCs is beneficial to understand the development and differentiation mechanism of germ stem cells. Notably, it provides a theoretical basis for directed induction and mass acquisition in vitro. However, little is known about the regulation of PGC formation by histone methylation. Here, we found the high enrichment of H3K4me2 in the blastoderm, genital ridges, and tes…

  DOI

• Effects of Insulin on Proliferation, Apoptosis, and Ferroptosis in Primordial Germ Cells via PI3K-AKT-mTOR Signaling Pathway

  Genes · 2023-10-22 · 11 citations

  articleOpen access

  Primordial germ cells (PGCs) are essential for the genetic modification, resource conservation, and recovery of endangered breeds in chickens and need to remain viable and proliferative in vitro. Therefore, there is an urgent need to elucidate the functions of the influencing factors and their regulatory mechanisms. In this study, PGCs collected from Rugao yellow chicken embryonic eggs at Day 5.5 were cultured in media containing 0, 5, 10, 20, 50, and 100 μg/mL insulin. The results showed that i…

  PublisherOA PDFDOI

Frequent coauthors

• Yanghua He

  University of Maryland, College Park

  56 shared

• Huanmin Zhang

  50 shared

• George E. Liu

  Agricultural Research Service

  48 shared

• Yani Zhang

  37 shared

• Lingyang Xu

  Chinese Academy of Agricultural Sciences

  36 shared

• Wentao Cai

  Institute of Animal Sciences

  35 shared

• Ning Yang

  Huazhong University of Science and Technology

  34 shared

• Yi Ding

  Fudan University

  24 shared

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