Metagenomic insights into fungal community composition of the nasopharyngeal region of COVID‐19 associated mucormycosis patients from India
Bharathi Arunan, Daizee Talukdar, Satish Swain, Ashwin Varadarajan, Radhika Sarda, Gagandeep Singh, Neeraj Nischal, Manish Soneja, Susmita Bakshi, Pradipta Jana, Subhash Tanwar, Kapil Sikka, Hitesh Verma, Arulselvi Subramanian, Immaculata Xess, Naveet Wig, Bhabatosh Das, Animesh Ray- Infectious Diseases
- Virology
Abstract
Coronavirus disease 2019 (COVID‐19) associated mucormycosis (CAM) was reported predominantly from India during the second wave of COVID‐19 and has a high mortality rate. The present study aims to understand the fungal community composition of the nasopharyngeal region of CAM‐infected individuals and compare it with severe COVID‐19 patients and healthy controls. The fungal community composition was decoded by analyzing the sequence homology of the internal transcribed spacer‐2–(ITS‐2) region of metagenomic DNA extracted from the upper respiratory samples. The alpha‐diversity indices were found to be significantly altered in CAM patients (p < 0.05). Interestingly, a higher abundance of Candida africana, Candida haemuloni, Starmerella floris, and Starmerella lactiscondensi was observed exclusively in CAM patients. The interindividual changes in mycobiome composition were well supported by beta‐diversity analysis (p < 0.05). The current study provides insights into the dysbiosis of the nasal mycobiome during CAM infection. In conclusion, our study shows that severe COVID‐19 and CAM are associated with alteration in mycobiome as compared to healthy controls. However, the sequential alteration in the fungal flora which ultimately leads to the development of CAM needs to be addressed by future studies.