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Environmental variables associated with Arbuscular Mycorrhizal Fungi diversity in Ohio soybean agricultural systems.

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Title: Environmental variables associated with Arbuscular Mycorrhizal Fungi diversity in Ohio soybean agricultural systems.
Authors: Tajik S; Ohio State University Extension and Department of Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH, USA.; Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH, USA., Breuillin-Sessoms F; Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH, USA., Frey T; Department of Plant Pathology, The Ohio State University, Wooster, OH, USA., Poelstra JW; Department of Plant Pathology, The Ohio State University, Wooster, OH, USA.; CFAES Bioinformatics Core, The Ohio State University, Wooster, OH, USA., Lopez-Nicora HD; The Ohio State University, Department of Plant Pathology, Columbus, OH, USA., Benitez Ponce MS; Department of Plant Pathology, The Ohio State University, Wooster, OH, USA. benitezponce.1@osu.edu.
Source: Mycorrhiza [Mycorrhiza] 2026 Oct 07; Vol. 36 (5). Date of Electronic Publication: 2026 Oct 07.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 100955036 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1890 (Electronic) Linking ISSN: 09406360 NLM ISO Abbreviation: Mycorrhiza Subsets: MEDLINE
Imprint Name(s): Original Publication: Berlin : Springer-Verlag, 1991-
MeSH Terms: Mycorrhizae*/classification , Mycorrhizae*/genetics , Mycorrhizae*/physiology , Mycorrhizae*/isolation & purification , Glycine max*/microbiology , Glomeromycota*/classification , Glomeromycota*/genetics , Soil Microbiology* , Biodiversity*, Soil/chemistry ; RNA, Ribosomal, 18S/genetics ; RNA, Ribosomal, 18S/analysis ; Ohio ; Agriculture ; Phylogeny
Abstract: Arbuscular mycorrhizal fungi (AMF) play a crucial role in crop productivity and agroecosystem processes. However, the composition of soil AMF communities and the factors associated with their diversity and distribution in Ohio remain poorly understood. We profiled both soil AMF and physico-chemical characteristics in 18 soybean fields across agricultural regions in Ohio. AMF sequences were recovered through amplicon sequencing of the 18S ribosomal gene coupled with PacBio technology. We detected 14 genera belonging to six families of the Glomeromycota. The family Glomeraceae accounted for 39% of the AMF reads recovered, while the families Gigasporaceae and Archaeosporaceae were rare (detected in < 25% of samples). At the genus level, Entrophospora, Nanoglomus, Paraglomus, and Funneliformis were widespread, contrasting with rare taxa such as Gigaspora, Dominikia, and Archaeospora. For the studied soil parameters, only phosphorus was significantly associated with AMF community composition. These findings provide a baseline of AMF communities in Ohio soybean fields and highlight abiotic components influencing these communities. Future research should expand sampling to other regions of the state and evaluate root colonization and evaluation of AMF impacts on soybean yields in Ohio.
(© 2026. The Author(s).)
Competing Interests: Declarations. Competing interests: The authors declare no competing interests.
References: Aker AM, Caproni AL, Berbara RLL et al (2022) Arbuscular mycorrhizal fungi in the cerrado biome: effects of land use system, soil texture, and seasonality. Revista Caatinga 35:170–180. https://doi.org/10.1590/1983-21252022v35n117rc. (PMID: 10.1590/1983-21252022v35n117rc)
Avio L, Njeru EM, Oehl F et al (2020) Small-scale soil heterogeneity affects the distribution of arbuscular mycorrhizal fungal species in a hot-spot field in a Mediterranean site. Appl Soil Ecol 154:103631. https://doi.org/10.1016/j.apsoil.2020.103631. (PMID: 10.1016/j.apsoil.2020.103631)
Babis W, Jastrzębski JP, Ciesielski S (2024) Fine-tuning of DADA2 parameters for multiregional metabarcoding analysis of 16S rRNA genes from activated sludge and comparison of taxonomy classification power and taxonomy databases. Int J Mol Sci 25:3508. https://doi.org/10.3390/ijms25063508. (PMID: 10.3390/ijms250635083854248210971298)
Błaszkowski J, Sánchez-García M, Niezgoda P et al (2022) A new order, Entrophosporales, and three new Entrophospora species in Glomeromycota. Front Microbiol 13:962856. https://doi.org/10.3389/fmicb.2022.962856. (PMID: 10.3389/fmicb.2022.962856366434129835108)
Bray RH, Kurtz LT (1945) Determination of total, organic, and available forms of phosphorus in soils. Soil Sci 59:39–46. https://doi.org/10.1097/00010694-194501000-00006. (PMID: 10.1097/00010694-194501000-00006)
Buade R, Chourasiya D, Prakash A, Sharma MP (2021) Changes in Arbuscular Mycorrhizal Fungal Community Structure in Soybean Rhizosphere Soil Assessed at Different Growth Stages of Soybean. Agricultural Res 10:32–43. https://doi.org/10.1007/s40003-020-00481-4. (PMID: 10.1007/s40003-020-00481-4)
Callahan BJ, McMurdie PJ, Rosen MJ et al (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13:581–583. https://doi.org/10.1038/nmeth.3869. (PMID: 10.1038/nmeth.3869272140474927377)
Callahan BJ, Wong J, Heiner C et al (2019) High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution. Nucleic Acids Res 47:E103. https://doi.org/10.1093/NAR/GKZ569. (PMID: 10.1093/NAR/GKZ569312691986765137)
Corazon-Guivin MA, Romero-Cachique G, Del Aguila KM et al (2023) Rhizoglomus variabile and Nanoglomus plukenetiae, Native to Peru, Promote Coffee Growth in Western Amazonia. Microorganisms 11:2883. https://doi.org/10.3390/microorganisms11122883. (PMID: 10.3390/microorganisms111228833813802710745942)
Corazon-Guivin MA, Rengifo del Aguila S, Corrêa RX et al (2024) Native Arbuscular Mycorrhizal Fungi Promote Plukenetia volubilis Growth and Decrease the Infection Levels of Meloidogyne incognita. J Fungi 10:451. https://doi.org/10.3390/jof10070451. (PMID: 10.3390/jof10070451)
Culman S, Deiss L, Fortune B Baseline Assessment of Soil Health in Ohio. The Ohio State University, School of Environment and Natural Resources., Columbus et al (2022) https://agcrops.osu.edu/sites/agcrops/files/imce/fertility/Baseline%20Ohio%20Soil%20Health.pdf Accessed: September 2026.
da Silva GA, Sieverding E, de Assis DMA et al (2025) Revision of Entrophosporales, with Three Genera and an Identification Key for All Species Currently Attributed to This Order. J Fungi 11:97. https://doi.org/10.3390/jof11020097. (PMID: 10.3390/jof11020097)
Delavaux CS, Ramos RJ, Sturmer SL, Bever JD (2022) Environmental identification of arbuscular mycorrhizal fungi using the LSU rDNA gene region: an expanded database and improved pipeline. Mycorrhiza 32:145–153. https://doi.org/10.1007/s00572-022-01068-3. (PMID: 10.1007/s00572-022-01068-3350996228907093)
Ducousso-Détrez A, Raveau R, Fontaine J et al (2022) Glomerales Dominate Arbuscular Mycorrhizal Fungal Communities Associated with Spontaneous Plants in Phosphate-Rich Soils of Former Rock Phosphate Mining Sites. Microorganisms 10:2406. https://doi.org/10.3390/microorganisms10122406. (PMID: 10.3390/microorganisms10122406365576599782746)
Fares M, Tharwat EK, Cleenwerck I, Monsieurs P, Van Houdt R, Vandamme P, El-Hadidi M, Mysara M (2025) The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods. Environ Microbiome 20:51. https://doi.org/10.1186/s40793-025-00705-6. (PMID: 10.1186/s40793-025-00705-64036124012076876)
Goldmann K, Boeddinghaus RS, Klemmer S et al (2020) Unraveling spatiotemporal variability of arbuscular mycorrhizal fungi in a temperate grassland plot. Environ Microbiol 22:873–888. https://doi.org/10.1111/1462-2920.14653. (PMID: 10.1111/1462-2920.1465331087598)
Hazard C, Gosling P, van der Gast CJ, Mitchell DT, Doohan FM, Bending GD (2013) The role of local environment and geographical distance in determining community composition of arbuscular mycorrhizal fungi at the landscape scale. ISME J 7(3):498–508. https://doi.org/10.1038/ismej.2012.127. (PMID: 10.1038/ismej.2012.12723096401)
Igiehon NO, Babalola OO, Cheseto X, Torto B (2021) Effects of rhizobia and arbuscular mycorrhizal fungi on yield, size distribution and fatty acid of soybean seeds grown under drought stress. Microbiol Res 242:126640. https://doi.org/10.1016/j.micres.2020.126640. (PMID: 10.1016/j.micres.2020.12664033223380)
Kojima T, Oka N, Karasawa T et al (2014) Community of Arbuscular Mycorrhizal Fungi in Soybean Roots after Cultivation with Different Cropping Systems. Jpn Agric Res Q 48:279–290. https://doi.org/10.6090/jarq.48.279. (PMID: 10.6090/jarq.48.279)
Krishnamoorthy R, Kim CG, Subramanian P et al (2015) Arbuscular Mycorrhizal Fungi community structure, abundance and species richness changes in soil by different levels of heavy metal and metalloid concentration. PLoS ONE 10:e0128784. https://doi.org/10.1371/journal.pone.0128784. (PMID: 10.1371/journal.pone.0128784260354444452772)
Lee J, Lee S, Young JPW (2008) Improved PCR primers for the detection and identification of arbuscular mycorrhizal fungi. FEMS Microbiol Ecol 65:339–349. https://doi.org/10.1111/j.1574-6941.2008.00531.x. (PMID: 10.1111/j.1574-6941.2008.00531.x18631176)
Lin X, Feng Y, Zhang H et al (2012) Long-term balanced fertilization decreases arbuscular mycorrhizal fungal diversity in an arable soil in north China revealed by 454 pyrosequencing. Environ Sci Technol 46:5764–5771. https://doi.org/10.1021/es3001695. (PMID: 10.1021/es300169522582875)
Lozupone C, Knight R (2005) UniFrac: A new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 71:8228–8235. https://doi.org/10.1128/AEM.71.12.8228-8235.2005. (PMID: 10.1128/AEM.71.12.8228-8235.2005163328071317376)
MacColl KA, Tosi M, Chagnon PL et al (2024) Prairie restoration promotes the abundance and diversity of mutualistic arbuscular mycorrhizal fungi. Ecol Appl 34:e2981. https://doi.org/10.1002/eap.2981. (PMID: 10.1002/eap.298138738945)
Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10–12. https://doi.org/10.14806/ej.17.1.200. (PMID: 10.14806/ej.17.1.200)
McMurdie PJ, Holmes S (2013) Phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data. PLoS ONE 8:e61217. https://doi.org/10.1371/journal.pone.0061217. (PMID: 10.1371/journal.pone.0061217236305813632530)
Medina López M, Lopez-Nicora HD, Benitez Ponce MS (2024) Fungal Communities Shift with Soybean Cyst Nematode Abundance in Soils. Phytobiomes J 8(4):568–577. https://doi.org/10.1094/pbiomes-02-24-0021-r. (PMID: 10.1094/pbiomes-02-24-0021-r)
Meng L-L, Li C-Z, Zou B-W et al (2026) Efficacy of Arbuscular Mycorrhizal Fungi in Alleviating Manganese Stress in Trifoliate Orange. Agriculture 16:342. https://doi.org/10.3390/agriculture16030342. (PMID: 10.3390/agriculture16030342)
Mercer W, Butler P (2018) Soil Regions of Ohio. USDA Natural Resources Conservation Service (NRCS), Columbus, OH. Available at: https://www.nrcs.usda.gov/wps/cmis&#95;proxy/https/ecm.nrcs.usda.gov%3A443/fncmis/resources/WEBP/ContentStream/idd&#95;907CB663-0000-C515-84DD-D63AD50CF8EA/0/Soil+Region+map.pdf.
Moebius-Clune DJ, Moebius-Clune BN, van Es HM, Pawlowska TE (2013) Arbuscular mycorrhizal fungi associated with a single agronomic plant host across the landscape: Community differentiation along a soil textural gradient. Soil Biol Biochem 64:191–199. https://doi.org/10.1016/j.soilbio.2012.12.014. (PMID: 10.1016/j.soilbio.2012.12.014)
Pacific Biosciences of California Inc (2020) Procedure & Checklist: Preparing SMRTbell Libraries using PacBio Barcoded Universal Primers for Multiplexing Amplicons. Menlo Park, CA, USA.
Pascoal F, Branco P, Torgo L et al (2025) Definition of the microbial rare biosphere through unsupervised machine learning. Commun Biol 8:544. https://doi.org/10.1038/s42003-025-07912-4. (PMID: 10.1038/s42003-025-07912-44017552911965487)
Poll J, Marhan S, Haase S, Hallmann J, Kandeler E, Ruess L (2007) Low amounts of herbivory by root-knot nematodes affect microbial community dynamics and carbon allocation in the rhizosphere. FEMS Microbiol Ecol 62(3):268–279. https://doi.org/10.1111/j.1574-6941.2007.00383.x. (PMID: 10.1111/j.1574-6941.2007.00383.x17916076)
R Core Team (2024) R: A language and environment for statistical computing (Version 4.4.0). R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project.org/.
Robinson-Boyer L, Grzyb I, Jeffries P (2009) Shifting the balance from qualitative to quantitative analysis of arbuscular mycorrhizal communities in field soils. Fungal Ecol 2:1–9. https://doi.org/10.1016/j.funeco.2008.11.001. (PMID: 10.1016/j.funeco.2008.11.001)
Roche Sequencing Solutions (2021) KAPA HiFi HotStart PCR Kit: Technical Data Sheet (KR0369). Basel, Switzerland.
Säle V, Palenzuela J, Azcón-Aguilar C et al (2021) Ancient lineages of arbuscular mycorrhizal fungi provide little plant benefit. Mycorrhiza 31:559–576. https://doi.org/10.1007/s00572-021-01042-5. (PMID: 10.1007/s00572-021-01042-5343275608484173)
Schalamuk S, Cabello M (2010) Arbuscular mycorrhizal fungal propagules from tillage and no-tillage systems: Possible effects on Glomeromycota diversity. Mycologia 102:261–268. https://doi.org/10.3852/08-118. (PMID: 10.3852/08-11820361494)
Schüßler A, Schwarzott D, Walker C (2001) A new fungal phylum, the Glomeromycota: phylogeny and evolution. Mycol Res 105:1413–1421. https://doi.org/10.1017/S0953756201005196. (PMID: 10.1017/S0953756201005196)
Shaffer MR, Andruszkiewicz Allan E, Van Cise AM, Parsons KM, Shelton AO, Kelly RP (2025) Observation bias in metabarcoding. Mol Ecol Resour. https://doi.org/10.1111/1755-0998.14119. (PMID: 10.1111/1755-0998.141194037535512415808)
Sharma S, Mehta CM, Sirari K, Taoussi M, Assouguem A, Lahlali R (2026) Dynamic interaction between arbuscular mycorrhizal fungi and nematodes: A review. Microbe. https://doi.org/10.1016/j.microb.2025.100647. (PMID: 10.1016/j.microb.2025.100647)
Smith SE, Read DJ (2008) Mycorrhizal symbiosis, 3rd edn. Academic. https://doi.org/10.1016/B978-0-12-370526-6.X5001-6.
Tedersoo L, Hosseyni Moghaddam MS, Mikryukov V et al (2024) EUKARYOME: the rRNA gene reference database for identification of all eukaryotes. Database 2024:baae043. https://doi.org/10.1093/database/baae043. (PMID: 10.1093/database/baae0433886543111168333)
Van Der Gast CJ, Gosling P, Tiwari B, Bending GD (2011) Spatial scaling of arbuscular mycorrhizal fungal diversity is affected by farming practice. Environ Microbiol 13:241–249. https://doi.org/10.1111/j.1462-2920.2010.02326.x. (PMID: 10.1111/j.1462-2920.2010.02326.x20840583)
van der Heijden MGA, Martin FM, Selosse MA, Sanders IR (2015) Mycorrhizal ecology and evolution: The past, the present, and the future. New Phytol 205:1406–1423. https://doi.org/10.1111/nph.13288. (PMID: 10.1111/nph.1328825639293)
Wen Z, Yang M, Han H et al (2023) Mycorrhizae Enhance Soybean Plant Growth and Aluminum Stress Tolerance by Shaping the Microbiome Assembly in an Acidic Soil. Microbiol Spectr 11:e03310–e03322. https://doi.org/10.1128/spectrum.03310-22. (PMID: 10.1128/spectrum.03310-223691695010100836)
Xu X, Chen C, Zhang Z et al (2017) The influence of environmental factors on communities of arbuscular mycorrhizal fungi associated with Chenopodium ambrosioides revealed by MiSeq sequencing investigation. Sci Rep 7:45134. https://doi.org/10.1038/srep45134. (PMID: 10.1038/srep45134283276315361092)
Zhang M, Shi Z, Yang M et al (2021) Molecular Diversity and Distribution of Arbuscular Mycorrhizal Fungi at Different Elevations in Mt. Taibai of Qinling Mountain. Front Microbiol 12:609386. https://doi.org/10.3389/fmicb.2021.609386. (PMID: 10.3389/fmicb.2021.609386337469127974767)
Grant Information: 25-R-08 Ohio Soybean Council; OHO01569 U.S. Department of Agriculture-National Institute of Food and Agriculture, Hatch Grants
Contributed Indexing: Keywords: AML1/AML2; Agricultural systems; Arbuscular mycorrhizal fungi; Soil properties; Soybean
Substance Nomenclature: 0 (Soil)
0 (RNA, Ribosomal, 18S)
Entry Date(s): Date Created: 20261006 Date Completed: 20261007 Latest Revision: 20261023
Update Code: 20261023
PubMed Central ID: PMC13642480
DOI: 10.1007/s00572-026-01321-z
PMID: 42839064
Database: MEDLINE
Description
ISSN:1432-1890
DOI:10.1007/s00572-026-01321-z