Non-destructive insect metabarcoding for surveillance and biosecurity in citrus orchards: recording the good, the bad and the psyllids.
Biodiversity
Biosecurity
Exotic pests
Monitoring
Psylloidea
Journal
PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425
Informations de publication
Date de publication:
2023
2023
Historique:
received:
02
05
2023
accepted:
11
07
2023
medline:
22
8
2023
pubmed:
21
8
2023
entrez:
21
8
2023
Statut:
epublish
Résumé
The Australian citrus industry remains one of the few in the world to be unaffected by the African and the Asian citrus psyllids, Here we evaluated the use of non-destructive insect metabarcoding for exotic pest surveillance in citrus orchards. We conducted an 11-week field trial, between the months of December and February, at a horticultural research farm (SuniTAFE Smart Farm) in the Northwest of Victoria, Australia, and processed more than 250 samples collected from three types of invertebrate traps across four sites. The whole-community metabarcoding data enabled comparisons between different trapping methods, demonstrated the spatial variation of insect diversity across the same orchard, and highlighted how comprehensive assessment of insect biodiversity requires use of multiple complimentary trapping methods. In addition to revealing the diversity of native psyllid species in citrus orchards, the non-targeted metabarcoding approach identified a diversity of other pest and beneficial insects and arachnids within the trap bycatch, and recorded the presence of the triozid
Sections du résumé
Background
The Australian citrus industry remains one of the few in the world to be unaffected by the African and the Asian citrus psyllids,
Methods
Here we evaluated the use of non-destructive insect metabarcoding for exotic pest surveillance in citrus orchards. We conducted an 11-week field trial, between the months of December and February, at a horticultural research farm (SuniTAFE Smart Farm) in the Northwest of Victoria, Australia, and processed more than 250 samples collected from three types of invertebrate traps across four sites.
Results
The whole-community metabarcoding data enabled comparisons between different trapping methods, demonstrated the spatial variation of insect diversity across the same orchard, and highlighted how comprehensive assessment of insect biodiversity requires use of multiple complimentary trapping methods. In addition to revealing the diversity of native psyllid species in citrus orchards, the non-targeted metabarcoding approach identified a diversity of other pest and beneficial insects and arachnids within the trap bycatch, and recorded the presence of the triozid
Identifiants
pubmed: 37601253
doi: 10.7717/peerj.15831
pii: 15831
pmc: PMC10437040
doi:
Substances chimiques
CD40 Ligand
147205-72-9
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e15831Informations de copyright
© 2023 Martoni et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests. Jessica Lye is employed by Citrus Australia Ltd.
Références
Biodivers Data J. 2020 Jan 21;8:e47255
pubmed: 32015667
Sci Rep. 2021 Apr 12;11(1):7946
pubmed: 33846382
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
PeerJ. 2023 May 5;11:e15338
pubmed: 37168534
PeerJ. 2019 Apr 30;7:e6727
pubmed: 31106048
ISME J. 2017 Dec;11(12):2639-2643
pubmed: 28731476
PLoS One. 2022 Apr 18;17(4):e0267007
pubmed: 35436309
Proc Biol Sci. 2003 Feb 7;270(1512):313-21
pubmed: 12614582
Front Plant Sci. 2022 Dec 22;13:1089762
pubmed: 36618633
Mol Ecol Resour. 2019 Jan;19(1):47-76
pubmed: 30358140
Elife. 2019 Sep 10;8:
pubmed: 31502536
Ecol Evol. 2021 Jan 28;11(4):1558-1569
pubmed: 33613989
J Mol Biol. 1990 Oct 5;215(3):403-10
pubmed: 2231712
Mol Ecol Resour. 2018 Jan;18(1):32-40
pubmed: 28417591
Insects. 2022 Mar 16;13(3):
pubmed: 35323593
Front Plant Sci. 2019 Jan 22;9:1976
pubmed: 30723488
Mol Biol Evol. 2018 Jun 1;35(6):1547-1549
pubmed: 29722887
PLoS One. 2017 Oct 26;12(10):e0185056
pubmed: 29073143
Bioinformatics. 2015 Jan 15;31(2):282-3
pubmed: 25262154
Microbiome. 2018 Aug 9;6(1):140
pubmed: 30092815
Mol Phylogenet Evol. 2007 Jul;44(1):325-45
pubmed: 17270468
Nucleic Acids Res. 2022 Jan 7;50(D1):D20-D26
pubmed: 34850941
Bull Entomol Res. 2010 Aug;100(4):489-99
pubmed: 20102658
Plant Dis. 2004 Dec;88(12):1382
pubmed: 30795206
Gigascience. 2019 Aug 1;8(8):
pubmed: 31363753
Nature. 2018 Feb 15;554(7692):311-316
pubmed: 29414943
Microb Biotechnol. 2017 Jul;10(4):833-844
pubmed: 28387006
Bioinformatics. 1998;14(9):755-63
pubmed: 9918945
PLoS Comput Biol. 2017 Feb 21;13(2):e1005404
pubmed: 28222096
Elife. 2017 Feb 15;6:
pubmed: 28198697
Zookeys. 2012;(216):43-55
pubmed: 22936877
Bioinformatics. 2015 Nov 1;31(21):3476-82
pubmed: 26139637
PeerJ. 2022 Feb 23;10:e12981
pubmed: 35228909
Insects. 2020 Jun 05;11(6):
pubmed: 32517030
PLoS One. 2021 Sep 22;16(9):e0257031
pubmed: 34550976
PLoS One. 2013 Jul 02;8(7):e67019
pubmed: 23843979
PLoS One. 2013 Jul 08;8(7):e66213
pubmed: 23861743
Mol Ecol Resour. 2020 Nov;20(6):1542-1557
pubmed: 32559020
PLoS One. 2011;6(6):e21079
pubmed: 21698160