“…Despite Sanger sequencing's low throughput, this novel survey approach revealed a diverse array of highly‐divergent ‘picorna‐like’ RNA viruses that were likely infecting marine phytoplankton. A decade later, sequencing technologies had advanced sufficiently to enable the exploration of diverse environments, often via mining RdRp sequences in RNA‐seq data derived from (i) biotic samples (including holobiont, unicellular, and multicellular organisms), such as invertebrates (Li et al, 2015 ; Shi et al, 2016 ; Vieira et al, 2022b ; Wu et al, 2020 ), vertebrates (Shi et al, 2018 ), plants (Roossinck, 2012 ; Vieira et al, 2022a ), protists (Cai et al, 2012 ; Charon et al, 2022 , 2020 , 2021 ; Lachnit et al, 2015 ; Nagasaki et al, 2004 ; Sasai et al, 2018 ; Shirai et al, 2008 ; Tai et al, 2003 ; Tomaru et al 2004 , 2009 , 2012 ), and fungi (Deakin et al, 2017 ; Marzano et al, 2016 ) and (ii) environmental samples, such as faeces (Krishnamurthy et al, 2016 ), sediments (Callanan et al, 2020 ), soils (Hillary et al, 2022 ; Starr et al, 2019 ; Wu et al, 2021 ), rivers (French et al, 2022 ), and seawater from specific sites (Culley et al, 2003 , 2006 , 2014 ; Djikeng et al, 2009 ; Steward et al, 2013 ; Urayama et al, 2018 ; Vlok et al, 2019 ; Wolf et al, 2020 ) and from geographic locations representing the entire global oceans (Dominguez‐Huerta et al, 2022 ; Zayed et al, 2022 ). The environments most explored for RNA viruses during these two decades are aquatic (e.g., marine, sewage, and riverine), providing us with the first insights into their ecology, evolution of their viral inhabitants, and methodological challenges associated with characterizing specific natural ecosystems (Culley, 2018 ; Liao et al, ...…”