Abstract
The distributions of arbuscular mycorrhizal (AM) fungal communities are driven by climate, soil nutrients, and plant community composition. However, these distributions are estimated at the community level and AM fungal taxa will respond to selection pressure of global change at the species level. Thus, ecological niche models of individual AM fungal taxa may be an informative approach to predict AM fungal composition and function under future climates at the global scale. Here we present the first attempt to model AM fungal distributions with ecological niche models for the widespread AM fungal taxon Rhizophagus irregularis (formerly Glomus intraradices). We show that despite varying the definition of the operational taxonomic unit (OTU) for R. irregularis, the predicted distributions of this species complex are consistently affected by a positive association with soil moisture. The spatial extent of ecological niche models affected the predicted distribution of R. irregularis, with climatic drivers and resources affecting its distribution more strongly in the northern and southern hemispheres, respectively. Given that AM fungi are not dispersal limited and coexist at the landscape scale relevant for ecological niche model predictions, this widely distributed fungal clade provides a robust case study to apply hypothesis-driven distributional models to predict the biogeography of microorganisms.
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References
Antunes PM, Koch AM, Morton JB, Rillig MC, Klironomos JN (2010) Evidence for functional divergence in arbuscular mycorrhizal fungi from contrasting climatic origins. New Phytol 189:507–514
Augé RM (2001) Water relations, drought and vesicular-arbuscular mycorrhizal symbiosis. Mycorrhiza 11:3–42
Bakkenes M, Alkemade JRM, Ihle F, Leemans R, Latour JB (2002) Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Glob Change Biol 8:390–407
Baptista-Rosas RC, Hinojosa A, Riquelme M (2007) Ecological niche modeling of Coccidioides spp. in Western North American deserts. Ann N Y Acad Sci 1111:35–46
Börstler B, Raab PA, Thiéry O, Morton JB, Redecker D (2008) Genetic diversity of the arbuscular mycorrhizal fungus Glomus intraradices as determined by mitochondrial large subunit rRNA gene sequences is considerably higher than previously expected. New Phytol 180:452–465
Bruns TD, Taylor JW (2016) Comment on “global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism”. Science 351:826
Brzostek ER, Fisher JB, Phillips RP (2014) Modeling the carbon cost of plant nitrogen acquisition: mycorrhizal trade-offs and multipath resistance uptake improve predictions of retranslocation. J Geophys Res-Biogeo 119:1684–1697
Bueno de Mesquita CP, King AJ, Schmidt SK, Farrer EC, Suding KN (2015) Incorporating biotic factors in species distribution modeling: are interactions with soil microbes important? Ecography 39:970–980
Burnham KP, Anderson DR (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociol Methods Res 33:261–304
Calabrese JM, Certain G, Kraan C, Dormann CF (2014) Stacking species distribution models and adjusting bias by linking them to macroecological models. Glob Ecol Biogeogr 23:99–112
Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Pena AG, Goodrich JK, Gordon JI et al (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335–336
Chagnon PL, Bradley RL, Maherali H, Klironomos JN (2013) A trait-based framework to understand life history of mycorrhizal fungi. Trends Plant Sci 18:484–491
Condit R, Engelbrecht BMJ, Pino D, Pérez R, Turner BL (2013) Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proc Natl Acad Sci U S A 110:5064–5068
Davison J, Moora M, Öpik M, Adholeya A, Ainsaar L, Bâ A et al (2015) Global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism. Science 349:970–973
Elton CS (1927) Animal ecology. The Macmillan, New York
Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49
Foley JA, Prentice IC, Ramankutty N, Levis S, Pollard D, Sitch S et al (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochem Cycles 10:603–628
Grinnell J (1917) The niche-relationships of the California thrasher. Auk 34:427–433
Hanley JA, McNeil BJ (1982) The meaning and use of the area under the receiver operating characteristic (ROC) curve. Radiology 143:29–36
Hawkes CV, Hartley IP, Ineson P, Fitter AH (2008) Soil temperature affects carbon allocation within arbuscular mycorrhizal networks and carbon transport from plant to fungus. Glob Change Biol 14:1181–1190
Heinemeyer A, Ineson P, Ostle N, Fitter A (2006) Respiration of the external mycelium in the arbuscular mycorrhizal symbiosis shows strong dependence on recent photosynthates and acclimation to temperature. New Phytol 171:159–170
Hengl T, de Jesus JM, MacMillan RA, Batjes NH, Heuvelink GBM, Ribeiro E et al (2014) SoilGrids1km? Global soil information based on automated mapping. PLoS One 9:e105992
Hijmans RJ, Elith J (2012) Species distribution modeling with R. http://cran.r-project.org/web/packages/dismo/vignettes/dm.pdf
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978
Johnson NC, Wilson GWT, Bowker MA, Wilson JA, Miller RM (2010) Resource limitation is a driver of local adaptation in mycorrhizal symbioses. Proc Natl Acad Sci U S A 107:2093–2098
Johnson NC, Angelard C, Sanders IR, Kiers ET (2013) Predicting community and ecosystem outcomes of mycorrhizal responses to global change. Ecol Lett 16:140–153
Katoh K, Misawa K, Kuma KI, Miyata T (2002) MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res 30:3059–3066
Kivlin SN, Hawkes CV, Treseder KK (2011) Global diversity and distribution of arbuscular mycorrhizal fungi. Soil Biol Biochem 43:2294–2303
Kivlin SN, Emery SM, Rudgers JA (2013) Fungal symbionts alter plant responses to global change. Am J Bot 100:1445–1457
Kivlin SN, Winston GC, Goulden ML, Treseder KK (2014) Environmental filtering affects soil fungal community composition more than dispersal limitation at regional scales. Fungal Ecol 12:14–25
MacArthur RH (1972) Geographical ecology: patterns in the distribution of species. Princeton University Press, Princeton
Maherali H, Klironomos JN (2007) Influence of phylogeny on fungal community assembly and ecosystem functioning. Science 316:1746–1748
Maherali H, Klironomos JN (2012) Phylogenetic and trait-based assembly of arbuscular mycorrhizal fungal communities. PLoS One 7:e36695
Merow C, Smith MJ, Silander JA (2013) A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography 36:1058–1069
Merow C, Latimer AM, Wilson AM, McMahon SM, Rebelo AG, Silander JA (2014) On using integral projection models to generate demographically driven predictions of species’ distributions: development and validation using sparse data. Ecography 37:1167–1183
Mirarab S, Nguyen N, Guo S, Wang L-S, Kim J, Warnow T (2015) PASTA: ultra-large multiple sequence alignment for nucleotide and amino-acid sequences. J Comput Biol 22:377–386
Mohan JE, Cowden CC, Baas P, Dawadi A, Frankson PT, Helmick K et al (2014) Mycorrhizal fungi mediation of terrestrial ecosystem responses to global change: mini-review. Fungal Ecol 10:3–19
Muscarella R, Galante PJ, Soley-Guardia M, Boria RA, Kass JM, Uriarte M et al (2014) ENMeval: an R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods Ecol Evol 5:1198–1205
Öpik M, Vanatoa A, Vanatoa E, Moora M, Davison J, Kalwij JM et al (2010) The online database MaarjAM reveals global and ecosystemic distribution patterns in arbuscular mycorrhizal fungi (Glomeromycota). New Phytol 188:233–241
Öpik M, Zobel M, Cantero J, Davison J, Facelli J, Hiiesalu I et al (2013) Global sampling of plant roots expands the described molecular diversity of arbuscular mycorrhizal fungi. Mycorrhiza 23:411–430
Öpik M, Davison J, Moora M, Partel M, Zobel M (2016) Response to comment on “global assessment of arbuscular mycorrhizal fungus diversity reveals very low endemism”. Science 351:826
Parmesan C, Root T, Willig M (2000) Impacts of extreme weather and climate on terrestrial biota. B Am Meteorol Soc 81:443–450
Pearson RG, Dawson TP (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Glob Ecol Biogeogr 12:361–371
Pellissier L, Pinto-Figueroa E, Niculita-Hirzel H, Moora M, Villard L, Goudet J et al (2013) Plant species distributions along environmental gradients: do belowground interactions with fungi matter? Front Plant Sci 4:1–9
Peterson AT (2003) Predicting the geography of species’ invasions via ecological niche modeling. Q Rev Biol 78:419–433
Peterson AT, Ortega-Huerta MA, Bartley J, Sanchez-Cordero V, Soberon J, Buddemeier RH et al (2002) Future projections for Mexican faunas under global climate change scenarios. Nature 416:626–629
Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259
Plotkin JB, Muller-Landau HC (2002) Sampling the species composition of a landscape. Ecology 83:3344–3356
Powell JR, Parrent JL, Hart MM, Klironomos JN, Rillig MC, Maherali H (2009) Phylogenetic trait conservatism and the evolution of functional trade-offs in arbuscular mycorrhizal fungi. Proc R Soc B 276:4237–4245
R Development Core Team (2009) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Raxworthy CJ, Ingram CM, Rabibisoa N, Pearson RG (2007) Applications of ecological niche modeling for species delimitation: a review and empirical evaluation using day geckos (Phelsuma) from Madagascar. Syst Biol 56:907–923
Reed KD, Meece JK, Archer JR, Peterson AT (2008) Ecologic niche modeling of Blastomyces dermatitidis in Wisconsin. PLoS One 3:e2034
Ricklefs RE, He F (2016) Region effects influence local tree species diversity. Proc Natl Acad Sci U S A 113:674–679
Rúa MA, Antoninka A, Antunes PM, Chaudhary VB, Gehring C, Lamit LJ et al (2016) Home-field advantage? evidence of local adaptation among plants, soil, and arbuscular mycorrhizal fungi through meta-analysis. BMC Evol Biol 16:122
Schenck NC, Smith GS (1982) Responses of six species of vesicular-arbuscular mycorrhizal fungi and their effects on soybean at four soil temperatures. New Phytol 92:193–201
Sikes BA, Powell JR, Rillig MC (2010) Deciphering the relative contributions of multiple functions within plant-microbe symbioses. Ecology 91:1591–1597
Sinclair SJ, White MD, Newell GR (2010) How useful are species distribution models for managing biodiversity under future climates? Ecol Soc 15:8
Smith SE, Read DJ (2008) Mycorrhizal symbiosis, 3rd edn. Academic, New York
Soberón J (2007) Grinnellian and Eltonian niches and geographic distributions of species. Ecol Lett 10:1115–1123
Soudzilovskaia NA, Douma JC, Akhmetzhanova AA, van Bodegom PM, Cornwell WK, Moens EJ et al (2015a) Global patterns of plant root colonization intensity by mycorrhizal fungi explained by climate and soil chemistry. Glob Ecol Biogeogr 24:371–382
Soudzilovskaia NA, van der Heijden MGA, Cornelissen JHC, Makarov MI, Onipchenko VG, Maslov MN et al (2015b) Quantitative assessment of the differential impacts of arbuscular and ectomycorrhiza on soil carbon cycling. New Phytol 208:280–293
Tedersoo L, Bahram M, Põlme S, Kõljalg U, Yorou NS, Wijesundera R et al (2014) Global diversity and geography of soil fungi. Science 346
Thuiller W, Pollock LJ, Gueguen M, Münkemüller T (2015) From species distributions to meta-communities. Ecol Lett 18:1321–1328
Treseder KK (2004) A meta-analysis of mycorrhizal responses to nitrogen, phosphorus, and atmospheric CO2 in field studies. New Phytol 164:347–355
Treseder KK (2016) Model behavior of arbuscular mycorrhizal fungi: predicting soil carbon dynamics under climate change. Botany 94:417–423
van der Heijden MGA, Boller T, Wiemken A, Sanders IR (1998a) Different arbuscular mycorrhizal fungal species are potential determinants of plant community structure. Ecology 79:2082–2091
van der Heijden MGA, Klironomos JN, Ursic M, Moutoglis P, Streitwolf-Engel R, Boller T et al (1998b) Mycorrhizal fungal diversity determines plant biodiversity, ecosystem variability and productivity. Nature 396:69–72
Vellend M (2010) Conceptual synthesis in community ecology. Q Rev Biol 85:183–206
Venette RC, Kriticos DJ, Magarey RD, Koch FH, Baker RHA, Worner SP et al (2010) Pest risk maps for invasive alien species: a roadmap for improvement. Bioscience 60:349–362
Vitousek P, Howarth R (1991) Nitrogen limitation on land and in the sea: how can it occur? Biogeochemistry 13:87–115
Willmott CJ, Rowe CM, Mintz Y (1985) Climatology of the terrestrial seasonal water cycle. J Climatol 5:589–606
Wisz MS, Pottier J, Kissling WD, Pellissier L, Lenoir J, Damgaard CF et al (2013) The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling. Biol Rev 88:15–30
Wolda H (1981) Similarity indices, sample size and diversity. Oecologia 50:296–302
Xiang D, Verbruggen E, Hu Y, Veresoglou SD, Rillig MC, Zhou W et al (2014) Land use influences arbuscular mycorrhizal fungal communities in the farming–pastoral ecotone of northern China. New Phytol 204:968–978
Yackulic CB, Nichols JD, Reid J, Der R (2015) To predict the niche, model colonization and extinction. Ecology 96:16–23
Yang W, Zheng Y, Gao C, He X, Ding Q, Kim Y et al (2013a) The arbuscular mycorrhizal fungal community response to warming and grazing differs between soil and roots on the Qinghai-Tibetan plateau. PLoS One 8:e76447
Yang X, Post WM, Thornton PE, Jain A (2013b) The distribution of soil phosphorus for global biogeochemical modeling. Biogeosciences 10:2525–2537
Zhang T, Yang X, Guo R, Guo J (2016) Response of AM fungi spore population to elevated temperature and nitrogen addition and their influence on the plant community composition and productivity. Sci Rep 6:24749
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Kivlin, S.N., Muscarella, R., Hawkes, C.V., Treseder, K.K. (2017). The Predictive Power of Ecological Niche Modeling for Global Arbuscular Mycorrhizal Fungal Biogeography. In: Tedersoo, L. (eds) Biogeography of Mycorrhizal Symbiosis. Ecological Studies, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-319-56363-3_7
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