Kun Tian

Kun 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


Kun Tian has a total of 31 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Fe2+ mitigates nanoparticle toxicity via modulating nanoparticle behavior and microbial metabolic resilience

    by Yuran Yang, Renli Qi, Kun Tian, Jiaming Zhu, Qiong Tan, Shuhang Lu, Ping Huang, Yue Jian, Zhenlun Li, Yaochang Zhou

  • Structure-efficiency relationships and mechanism in carbon quantum dots-shewanella hybrid biogenic fenton systems

    by Ruihuan Chen, Yalian Tang, Yuke Zhu, Jiuhao Zhou, Hanyu Zhang, Penglin He, Kun Tian, Junwei Peng, Jihan Cai, Xiangyong Zheng, et al.

  • Open Access

    Associations Between Fine Particulate Matter-Associated Bacteria and Respiratory Tract Microbiota in Pigs

    by Kun Tian, Jiaming Zhu, Renli Qi, Yuran Yang, Jiayu Li, Wanchao Tian, Qiong Tan, Bin Hu, Yue Jian

    Environmental health and biosecurity in pig farms and surroundings are increasingly threatened by pathogenic bacteria carried by fine particulate matter with an aerodynamic diameter of 2.5 μm or less (PM2.5) in enclosed piggeries. However, limited attention has been given to these pathogens and their association with the respiratory microbiome of pigs. Using high-throughput sequencing, we investigated the overall and pathogenic bacterial communities attached to PM2.5 in pig houses, as well as those in the upper (URT) and lower respiratory tracts (LRT) of healthy fattening pigs. Concentrations of PM2.5, particulate matter with an aerodynamic diameter of 10 μm or less (PM10), ammonia (NH3), total volatile organic compounds (TVOCs), and hydrogen sulfide (H2S) were significantly higher inside the piggery than in the surrounding environment. The composition of PM2.5-associated bacteria varied with sampling height and showed greater similarity to the microbiota of the URT, particularly the oropharynx, than to that of the LRT. Additionally, 140 core potential bacterial pathogens were identified via Venn analysis in both PM2.5 and respiratory tracts. Co-occurrence network analysis and community assembly patterns revealed that microbial communities in PM2.5 and the respiratory tract exhibit distinct interaction and assembly characteristics. These findings highlight the potential role of PM2.5 as a vector for respiratory pathogens and underscore the importance of air quality management in pig farming to safeguard environmental health.

  • Open Access

    Harnessing an Algae–Bacteria Symbiosis System: Innovative Strategies for Enhancing Complex Wastewater Matrices Treatment

    by Wantong Zhao, Kun Tian, Lan Zhang, Ye Tang, Ruihuan Chen, Xiangyong Zheng, Min Zhao

    Complex wastewater matrices hinder the efficacy of conventional treatment methods due to the presence of various inorganic and organic pollutants, along with their intricate interactions. Leveraging the synergy between algae and bacteria, algal–bacterial symbiosis (ABS) systems offering an evolutionary and highly effective approach. The ABS system demonstrates 10–30% higher removal efficiency than conventional biological/physicochemical methods under identical conditions, especially at low C/N ratios. Recent advances in biology techniques and big data analytics have deepened our understanding of the synergistic mechanisms involved. Despite the system’s considerable promise, challenges persist concerning complex pollution scenarios and scaling it for industrial applications, particularly regarding system design, environmental adaptability, and stable operation. In this review, we explore the current forms and operational modes of ABS systems, discussing relevant mechanisms in various wastewater treatment contexts. Furthermore, we examine the advantages and limitations of ABS systems in treating complex wastewater matrices, highlighting challenges and proposing future directions.


  • Open Access

    Analysis of the Morphological Characteristics of PM2.5 and Its Microbiological Composition in a Fattening Pig House

    by Mingfeng Tang, Yue Jian, Jiaming Zhu, Kun Tian, Qiong Tan, Run Zhao

    Particulate matter (PM2.5) in pig houses and the microorganisms in PM2.5 restrict the sustainable development of the pig industry and have a negative influence on environmental sustainability. This study aimed to investigate the morphological characteristics and diel microbial composition of PM2.5 in fattening pig sheds and explore how changes in the diel microbial composition of PM2.5 correlate with environmental factors and sources. To this end, environmental data from a fattening pig house were monitored, and PM2.5, feed, and faecal particles were examined using electron microscopy. Additionally, the bacterial and fungal assemblages contained in PM2.5 were analysed using 16S and 18S rRNA gene sequencing, respectively. The results showed that NH3, CO2, temperature, and relative humidity were significantly higher at night than during the day. PM2.5 particles from the fattening pig house exhibited different morphologies such as spherical, flocculent, and chain structures. The microbial diversity and bacterial assemblage showed significant variations, which were related to diel environmental factors in the fattening house. In addition, faeces may be the main source of airborne bacteria and feed may be the main source of airborne fungi in fattening houses. These findings provide a scientific basis for exploring the potential risks of the morphological characteristics of PM2.5 and its microbial composition to human and animal health. Additionally, they contribute to the sustainable development of the pig industry and the protection of the environment.