FTFang Tian

Fang Tian

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Fang Tian has a total of 14 co-authors. Here are the top co-authors by number of shared publications:

  • Jinyu Guan

    College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China

    2 shared publications
  • Zongjun Yin

    College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China

    2 shared publications
  • Haibo Ye

    College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China

    1 shared publication
  • Hanyu Zhou

    Anhui Province Key Laboratory of Local Livestock and Poultry, Genetic Resource Conservation and Breeding, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China

    1 shared publication
  • Huibin Zhang

    Anhui Provincial Key Laboratory of Livestock and Poultry Product Safety, Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230031, China

    1 shared publication
  • Ping Wu

    Anhui Province Key Laboratory of Local Livestock and Poultry, Genetic Resource Conservation and Breeding, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China

    1 shared publication

Latest Publications

  • Open Access

    Genome-Wide Association Study Identifies Candidate Genes for Body Size Traits in Wanyue Black Pigs

    by Haibo Ye, Wei Li, Fang Tian, Qianqian Wang, Zhonghua Ma, Jinyu Guan, Yueyun Ding, Xianrui Zheng, Zongjun Yin, Xiaodong Zhang

    This study aimed to elucidate the genetic basis of body-size-related traits in Wanyue Black pigs, including body length, chest circumference, forearm circumference, and hip circumference. Phenotypic data were collected from 139 four-month-old female pigs, and genotyping was performed using a 50K SNP array. After stringent quality control and genotype imputation, approximately 4,697,453 high-quality autosomal variants were retained for subsequent genome-wide association study (GWAS), transcriptome-wide association study (TWAS), and phenome-wide association study (PheWAS). The GWAS identified four genome-wide significant loci, including rs343276492 and rs321308815. TWAS results revealed that the expression level of PTH2R was significantly associated with pituitary-related traits. In addition, selection signal analysis identified multiple genomic regions related to growth, development, and environmental adaptability, which were significantly enriched in pathways such as circadian rhythm regulation and the MAPK signaling pathway. These pathways play critical roles in growth regulation and adaptive evolution in Wanyue Black pigs. Collectively, this study provides valuable candidate genes and potential molecular markers for the genetic improvement and breeding of Wanyue Black pigs.


  • Open Access

    Comparative Analysis of the Oviducts in Wanyue Black Pigs with Different Parities Based on RNA-Seq

    by Hanyu Zhou, Huibin Zhang, Ping Wu, Fang Tian, Jinyu Guan, Yifan Sun, Xiaodong Zhang, Zongjun Yin

    This study investigates the molecular mechanisms underlying parity’s impact on sow reproductive function by comparing the transcriptome profiles of high-parity (9 parities) and low-parity (1 parity) Wanyue Black pigs. Oviduct tissues were collected and subjected to RNA-seq analysis. Differentially expressed genes (DEGs) were identified using the DESeq2 algorithm. A total of 4218 DEGs were detected, with 2421 up-regulated and 1797 down-regulated genes. Functional enrichment analysis using GO and KEGG revealed that these DEGs were significantly associated with reproductive pathways, including cilium movement, oocyte maturation, and steroid hormone biosynthesis. Protein–protein interaction (PPI) network analysis highlighted key genes such as HSD3B1 and DNAI1, which play central roles in the parity differences. The expression patterns of selected candidate genes were further validated by real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR), and the results were consistent with the RNA-seq data, confirming the reliability of our findings. This study provides valuable insights into the molecular regulation of parity in sows and offers a theoretical basis for optimizing reproductive management and breeding strategies in pig production.