“…The understanding of uterine diseases microbiome also had tremendous progress and created opportunities for the development of novel preventives to improve the management of uterine diseases ( Bicalho et al., 2012 ; Freick et al., 2017 ; Galvão et al., 2019a ; Jeon et al., 2018 ; Machado et al., 2014 ; Sheldon et al., 2010 ). Indeed, in the last decade, over a dozen of non-antimicrobial therapeutics to prevent and treat metritis and endometritis has been investigated with encouraging results ( Ahmadi et al., 2019 ; Ametaj et al., 2014 ; ATLAS Collaboration, 2017 ; Brick et al., 2012 ; Daetz et al., 2016 ; Escandon et al., 2020 ; Genis et al., 2018 ; Machado et al., 2012 ; Pinedo et al., 2015 ). Genome-enable prediction for health traits ( McNeel et al., 2017 ; Lopes et al., 2020 ), activity monitors ( Barragan et al., 2018 ; Stangaferro et al., 2016 ), biomarkers ( Barragan et al., 2018 , 2019 ; Dervishi et al., 2018 ; Wisnieski et al., 2019 ; Zhang et al., 2017 ), immune cells profile ( Pomeroy et al., 2017 ), machine learning predictive models ( Bogado Pascottini et al., 2020 ) are others innovative tools that have been explored in the recent years to help mitigate negative impacts of uterine diseases.…”