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Abstract
We examined potato rhizosphere bacterial and fungal communities across three regions: Cheongju, Pyeongchang, and Gangneung. These regions have varying soil and climate conditions, resulting in different yields. We found that precipitation was the main limiting factor in our study while soil physiochemical factors affect bacterial and fungal microbiota in correlation with yield. Both bacterial and fungal microbiota showed distinct patterns according to the regions. ASVs positively correlated with yield were predominantly found in the Pyeongchang region which also produced the highest yields, while ASVs negatively correlated with yield were associated with Gangneung where the lowest yields were observed. The greatest bacterial and fungal diversity was detected in Pyeongchang consisting of Propionibacteriales, Burkholderiales, and Vicinamibacteriales. Gangneung, on the other hand primarily belong to Sordariales, Mortierellales, Cystofilobasidiales, and Tremellales. The putative yield-negative ASVs detected in Gangneung may have been influenced by drought stress. This work has highlighted key bacterial and fungal taxa as well as core taxa that may potentially be associated with high and low yields of potato in relation to metadata which includes soil chemical and physical parameters as well as weather data. Taken together we suggest that this information can be used to assess site suitability for potato production.
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1 Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, Pyeongchang, Republic of Korea (GRID:grid.420186.9) (ISNI:0000 0004 0636 2782); Seoul National University, Interdisciplinary Programs in Agricultural Genomics, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905)
2 The University of Chicago, Department of Ecology and Evolution, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822)
3 Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, UK (GRID:grid.418374.d) (ISNI:0000 0001 2227 9389)
4 Highland Agriculture Research Institute, National Institute of Crop Science, Rural Development Administration, Pyeongchang, Republic of Korea (GRID:grid.420186.9) (ISNI:0000 0004 0636 2782)
5 Seoul National University, Department of Agricultural Biotechnology, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905)
6 Seoul National University, Interdisciplinary Programs in Agricultural Genomics, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Department of Agricultural Biotechnology, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Center for Plant Microbiome Research, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Plant Immunity Research Center, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905); Seoul National University, Plant Genomics and Breeding Institute, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905)