Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:Uporaba naprednih tehnologij za celostno obvladovanje ogorčic koreninskih šišk (Meloidogyne spp., Nematoda: Meloidogynidae)
Authors:ID Susič, Nik (Author)
ID Gerič Stare, Barbara (Mentor) More about this co-author... New window
Files:URL URL - Presentation file, visit https://repozitorij.uni-lj.si/IzpisGradiva.php?id=121781&lang=slv
 
Language:Slovenian
Typology:2.08 - Doctoral Dissertation
Organization:Logo KIS - Agricultural Institute of Slovenia
Abstract:Tropske vrste ogorčic koreninskih šišk (RKN) so izredno polifagni škodljivci v kmetijstvu, kjer povzročajo velike izgube pridelka. Nekatere vrste, kot so Meloidogyne ethiopica, M. inornata in M. luci (MEG), je zaradi visoke sorodnosti težavno razlikovati. Sekvencirali smo 7 izolatov ogorčic iz skupine MEG ter po zlaganju zaporedij genomov določili filogenetsko umestitev v rod. Zloženi genom ogorčice M. luci SI-Smartno V13 je s 327 kontigi, N50 dolžini kontigov 1,7 Mb in končni dolžini zloženega zaporedja 209,2 Mb, trenutno najpopolnejši javno dostopen genom RKN. Filogenetska analiza je pokazala na umestitev vseh izolatov iz skupine MEG v enoten monofiletski klad, vrsta M. luci se je bistveno razlikovala od vrst M. ethiopica in M. inornata. Preizkušali smo uporabnost hiperspektralnega slikanja za zgodnje razločevanje biotskega stresa (napad RKN) od abiotskega stresa (suša) pri rastlinah paradižnika. Z analizo hiperspektralnih posnetkov v območju spektra 400-2500 nm je bilo mogoče razlikovati med dobro zalitimi ter sušnimi rastlinami s 100 % natančnostjo, z 90-100 % natančnostjo pa je bilo mogoče razlikovati med zdravimi in napadenimi rastlinami. Ovrednotili smo nematicidno aktivnost in analizirali genoma bakterij Bacillus firmus I-1582 in Bacillus sp. ZZV12-4809, v katerih smo našli številne potencialne dejavnike virulence. V lončnih poskusih in na mikroparcelah je sev I-1582 zmanjšal število ogorčic M. luci za 51-53 % v primerjavi s kontrolo. Bakterije I-1582 so delovale nematicidno ter spodbudile rast rastlin, kar smo pokazali z meritvami morfologije rastlin, relativne vsebnosti klorofila, vsebnostjo elementov in analizo hiperspektralnih posnetkov. Z analizo hiperspektralnih posnetkov z nadzorovano klasifikacijo smo uspešno razlikovali med rastlinami tretiranimi z B. firmus in rastlinami brez bakterij – v lončnem poskusu smo dosegli 97,4 % uspešnost, na mikroparcelah pa 96,3 %.
Keywords:ogorčice koreninskih šišk, filogenomika, hiperspektralno slikanje, biotično varstvo rastlin, Meloidogyne spp., Bacillus firmus, doktorske disertacije
Publisher:[N. Susič]
Year of publishing:2020
Number of pages:XIII, 174, [13] str.
PID:20.500.12556/DiRROS-13557 New window
UDC:632.937:595.161:528.8.041.5(043.3)
COBISS.SI-ID:35594755 New window
Publication date in DiRROS:06.09.2022
Views:1274
Downloads:340
Metadata:XML DC-XML DC-RDF
:
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:The use of advanced technologies for integrated management of root-knot nematodes (Meloidogyne spp., Nematoda: Meloidogynidae)
Abstract:Tropical root-knot nematodes (RKN) are extremely polyphagous pests causing large yield losses in agriculture. Some species, such as Meloidogyne ethiopica, M. inornata and M. luci (MEG) are highly related and difficult to distinguish. We sequenced 7 RKN isolates from the MEG group and following the genome assembly, determined their phylogenetic position within the genus. The genome assembly of M. luci SI-Smartno V13 is currently the most complete publicly available RKN genome, having 327 contigs, N50 contig size of 1.7 Mb, and final assembly size of 209.2 Mb. Phylogenetic analysis showed the positioning of all MEG-group isolates within a single monophyletic clade, and the species M. luci differed significantly from the species M. ethiopica and M. inornata. We tested the applicability of hyperspectral imaging for the early differentiation of biotic stress (RKN infestation) from abiotic stress (drought) in tomato plants. Using hyperspectral image analysis in the 400-2500 nm spectral range, it was possible to distinguish well-watered from water deficient plants with 100 % accuracy; and nematode-infested from healthy plants with 90-100 % accuracy. We also evaluated nematicidal activity and analysed the genomes of Bacillus firmus I-1582 and Bacillus sp. ZZV12-4809 and found multiple putative virulence factors. In the pot experiments as well as in the microplots, the strain I-1582 reduced M. luci infestation rates by 51-53 % compared to untreated control. I-1582 showed nematicidal and plant-growth promoting effects, as indicated by plant morphology measurements, relative chlorophyll content, leaf nutrient composition, and hyperspectral image analysis. Utilising supervised classification for hyperspectral image analysis, we successfully discriminated between B. firmus-treated and untreated plants – in the pot experiment we achieved 97.4 % and in the microplot experiment 96.3 % classification success.
Keywords:root-knot nematodes, phylogenomics, hyperspectral imaging, biological pest control, Meloidogyne spp., Bacillus firmus


Back