TY - JOUR
T1 - Fungal functional ecology : bringing a trait-based approach to plant-associated fungi
AU - Zanne, Amy E.
AU - Abarenkov, Kessy
AU - Afkhami, Michelle E.
AU - Aguilar-Trigueros, Carlos A.
AU - Bates, Scott
AU - Bhatnagar, Jennifer M.
AU - Busby, Posy E.
AU - Christian, Natalie
AU - Cornwell, William K.
AU - Crowther, Thomas W.
AU - Flores-Moreno, Habacuc
AU - Floudas, Dimitrios
AU - Gazis, Romina
AU - Hibbett, David
AU - Kennedy, Peter
AU - Lindner, Daniel L.
AU - Maynard, Daniel S.
AU - Milo, Amy M.
AU - Nilsson, Rolf Henrik
AU - Powell, Jeff
AU - Schildhauer, Mark
AU - Schilling, Jonathan
AU - Treseder, Kathleen K.
N1 - Publisher Copyright:
© 2019 Cambridge Philosophical Society
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Fungi play many essential roles in ecosystems. They facilitate plant access to nutrients and water, serve as decay agents that cycle carbon and nutrients through the soil, water and atmosphere, and are major regulators of macro-organismal populations. Although technological advances are improving the detection and identification of fungi, there still exist key gaps in our ecological knowledge of this kingdom, especially related to function. Trait-based approaches have been instrumental in strengthening our understanding of plant functional ecology and, as such, provide excellent models for deepening our understanding of fungal functional ecology in ways that complement insights gained from traditional and -omics-based techniques. In this review, we synthesize current knowledge of fungal functional ecology, taxonomy and systematics and introduce a novel database of fungal functional traits (FunFun). FunFun is built to interface with other databases to explore and predict how fungal functional diversity varies by taxonomy, guild, and other evolutionary or ecological grouping variables. To highlight how a quantitative trait-based approach can provide new insights, we describe multiple targeted examples and end by suggesting next steps in the rapidly growing field of fungal functional ecology.
AB - Fungi play many essential roles in ecosystems. They facilitate plant access to nutrients and water, serve as decay agents that cycle carbon and nutrients through the soil, water and atmosphere, and are major regulators of macro-organismal populations. Although technological advances are improving the detection and identification of fungi, there still exist key gaps in our ecological knowledge of this kingdom, especially related to function. Trait-based approaches have been instrumental in strengthening our understanding of plant functional ecology and, as such, provide excellent models for deepening our understanding of fungal functional ecology in ways that complement insights gained from traditional and -omics-based techniques. In this review, we synthesize current knowledge of fungal functional ecology, taxonomy and systematics and introduce a novel database of fungal functional traits (FunFun). FunFun is built to interface with other databases to explore and predict how fungal functional diversity varies by taxonomy, guild, and other evolutionary or ecological grouping variables. To highlight how a quantitative trait-based approach can provide new insights, we describe multiple targeted examples and end by suggesting next steps in the rapidly growing field of fungal functional ecology.
KW - ecology
KW - endophytic fungi
KW - evolution
KW - fungi
KW - mycorrhizas
UR - https://hdl.handle.net/1959.7/uws:55122
U2 - 10.1111/brv.12570
DO - 10.1111/brv.12570
M3 - Article
C2 - 31763752
SN - 1464-7931
VL - 95
SP - 409
EP - 433
JO - Biological Reviews
JF - Biological Reviews
IS - 2
ER -