PCR dependent biases could significantly affect quantitative estimation of plant mix composition

Valeriia Kaptelova¹, Maria Logacheva², Anna Speranskaya³, Denis Omelchenko⁴, Anna Fedotova⁵, Anastasia Krinitsina⁶, Andrey Ayginin⁷, Kamil Khafizov⁸, Elena Korneenko⁹, Andrei Samoilov^10
1Central Research Institute of Epidemiology, Moscow, Russia, valeriia.kaptelova@gmail.com
²Skolkovo Institute of Science and Technology, Skolkovo, Russia, maria.log@gmail.com
³Central Research Institute of Epidemiology, Moscow, Russia, hanna.s.939@gmail.com
⁴Institute of Information Transmission Problems, Moscow, Russia, omdeno@gmail.com
⁵Skolkovo Institute of Science and Technology, Skolkovo, Russia, mikrobiomsu@list.ru
⁶Lomonosov Moscow State University, Moscow, Russia, ankrina@gmail.com
⁷FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, ayginin75@gmail.com
⁸FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, kkhafizov@gmail.com
⁹Central Research Institute of Epidemiology, Moscow, Russia, lennatta@yandex.ru
¹⁰Central Research Institute of Epidemiology, Moscow, Russia, andrei.samoilov@gmail.com

Metagenomic analysis using high-throughput sequencing is an intensively developing approach nowadays. One of its problems is the adequate quantification of components in metagenomic samples.