PMID- 36528656
OWN - NLM
STAT- MEDLINE
DCOM- 20221220
LR  - 20230122
IS  - 2045-2322 (Electronic)
IS  - 2045-2322 (Linking)
VI  - 12
IP  - 1
DP  - 2022 Dec 17
TI  - Predicting potential global distribution and risk regions for potato cyst 
      nematodes (Globodera rostochiensis and Globodera pallida).
PG  - 21843
LID - 10.1038/s41598-022-26443-0 [doi]
LID - 21843
AB  - Potato cyst nematodes (PCNs), golden (yellow) cyst nematode (Globodera 
      rostochiensis, gPCN) and pale (white) cyst nematode (G. pallida, pPCN), are 
      important invasive pests in many countries and regions where they can cause 
      significant yield and economic loss for agriculture. Prediction and 
      identification of habitats suitable for PCNs are critical for developing 
      biosecurity strategies, both pre and post border, to maximise the potential for 
      early elimination should an incursion occur. To date, the potential global 
      distribution of PCNs has not been thoroughly studied. Therefore, this study 
      conducted a species distribution model to illustrate the potential global 
      distribution of PCNs and risk regions. In this study, the Maximum Entropy Model 
      (Maxent) associated with the Geographic Information System (GIS) was employed to 
      reveal the potential distribution of the gPCN and pPCN. In addition to 
      bioclimate, soil quality was also included in the model. The global cultivated 
      lands, whether the susceptible hosts were present or not, were used to assess the 
      maximum potential risk regions. The limitation factors for PCNs distribution were 
      also assessed. Results showed that 66% of the global land surface was suitable 
      for gPCN or pPCN or both, and both species can colonise more than 75% of the 
      global cultivated lands. The coldest quarter's mean temperature and precipitation 
      were critical limitations in unsuitable regions. In summary, the global risk maps 
      of PCNs contribute valuable additional information that complements previous 
      national/regional distribution predictions. The results of this distribution 
      research will contribute practical support for decision-makers and practitioners 
      to implement biosecurity strategies from a global perspective, that incorporate 
      prevention or promptly enforce control practices to limit the damage caused by 
      future incursions.
CI  - (c) 2022. The Author(s).
FAU - He, Yitong
AU  - He Y
AD  - Shandong Engineering Research Centre for Environment-Friendly Agricultural Pest 
      Management, College of Plant Health and Medicine, Qingdao Agricultural 
      University, Qingdao, 266109, People's Republic of China. hoyt.he@murdoch.edu.au.
AD  - Harry Butler Institute, Murdoch University, Perth, WA, 6150, Australia. 
      hoyt.he@murdoch.edu.au.
FAU - Wang, Rui
AU  - Wang R
AD  - State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of 
      Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, 
      People's Republic of China.
FAU - Zhao, Honghai
AU  - Zhao H
AD  - Shandong Engineering Research Centre for Environment-Friendly Agricultural Pest 
      Management, College of Plant Health and Medicine, Qingdao Agricultural 
      University, Qingdao, 266109, People's Republic of China.
FAU - Ren, Yonglin
AU  - Ren Y
AD  - Harry Butler Institute, Murdoch University, Perth, WA, 6150, Australia.
FAU - Agarwal, Manjree
AU  - Agarwal M
AD  - Harry Butler Institute, Murdoch University, Perth, WA, 6150, Australia.
FAU - Zheng, Dan
AU  - Zheng D
AD  - College of Economics, Qingdao Agricultural University, Qingdao, 266109, People's 
      Republic of China.
FAU - Gao, Shan
AU  - Gao S
AD  - Hebei Dahaituo National Nature Reserve Management Centre, Chicheng, 075500, 
      People's Republic of China.
FAU - McKirdy, Simon J
AU  - McKirdy SJ
AD  - Harry Butler Institute, Murdoch University, Perth, WA, 6150, Australia. 
      s.mckirdy@murdoch.edu.au.
FAU - Chu, Dong
AU  - Chu D
AD  - Shandong Engineering Research Centre for Environment-Friendly Agricultural Pest 
      Management, College of Plant Health and Medicine, Qingdao Agricultural 
      University, Qingdao, 266109, People's Republic of China. chinachudong@qau.edu.cn.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20221217
PL  - England
TA  - Sci Rep
JT  - Scientific reports
JID - 101563288
RN  - 0 (Soil)
SB  - IM
MH  - Animals
MH  - *Solanum tuberosum
MH  - *Tylenchoidea
MH  - Agriculture
MH  - Soil
PMC - PMC9759053
COIS- The authors declare no competing interests.
EDAT- 2022/12/18 06:00
MHDA- 2022/12/21 06:00
PMCR- 2022/12/17
CRDT- 2022/12/17 23:29
PHST- 2022/07/06 00:00 [received]
PHST- 2022/12/14 00:00 [accepted]
PHST- 2022/12/17 23:29 [entrez]
PHST- 2022/12/18 06:00 [pubmed]
PHST- 2022/12/21 06:00 [medline]
PHST- 2022/12/17 00:00 [pmc-release]
AID - 10.1038/s41598-022-26443-0 [pii]
AID - 26443 [pii]
AID - 10.1038/s41598-022-26443-0 [doi]
PST - epublish
SO  - Sci Rep. 2022 Dec 17;12(1):21843. doi: 10.1038/s41598-022-26443-0.