Updated Supplementary Figures for Can leafhoppers help us trace the impact of climate change on agriculture?

Supplementary Figures for: Can leafhoppers help us trace the impact of climate change on agriculture? to be posted in bioRxiv. Figure S1. Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the str...

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Hauptverfasser: Nicolas Plante, Jeanne Durivage, Anne-Sophie Brochu, Tim Dumonceaux, Almeida Santos, Abraão, Dagoberto Torres, Brian Bahder, Joel Kits, Antoine Dionne, Jean-Philippe Légaré, Stéphanie Tellier, Frédéric Mcune, Charles Goulet, Valérie Fournier, Edel Pérez-López
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creator Nicolas Plante
Jeanne Durivage
Anne-Sophie Brochu
Tim Dumonceaux
Almeida Santos, Abraão
Dagoberto Torres
Brian Bahder
Joel Kits
Antoine Dionne
Jean-Philippe Légaré
Stéphanie Tellier
Frédéric Mcune
Charles Goulet
Valérie Fournier
Edel Pérez-López
description Supplementary Figures for: Can leafhoppers help us trace the impact of climate change on agriculture? to be posted in bioRxiv. Figure S1. Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the strawberry fields were located. Statistical analyses were performed for Shannon and Simpson finding that in both cases there is no interaction between years and regions with p = 0.0889 and p = 0.7139, respectively. Figure S2. Distinctive RFLP patterns obtained with CpnClassiPhyR from in silico digestion of cpn60UT from SbGPQ clones and AY-Col. Lanes labelled MW in in silico RFLP represent HaeIII-digested phage ϕX174 DNA. Figure S3. Phylogenetic tree using neighbour-joining method of the 16S, secY, nusA, rp, secA, cpn60 and tuf sequences obtained in this study for the SbGP phytoplasma and sequences retrieved from Genbank. Acholeplasma laidlawii PG8 was used as an outgroup. The phylogenetic tree was bootstrapped 1000 times to achieve reliability. Bar, 1 substitution in 100 or 500 positions.  Fig. S3 Panel 1: cpn60UT, tuf, and secY trees. Fig. S3 Panel 2: nusA, rp, and secA trees. Fig. S3 Panel 3: 16S tree with subtree showing heterogeneity of SbGPQ and 'Ca. P. tritici'. Figure S4. Leafhopper feeding-associated damages observed in strawberry plants. A, in the field. B, in the greenhouse after incubation with leafhoppers. Figure S5. Alpha diversity indexes were calculated to study Macrosteles quadrilineatus microbiome observed for each growing season. No statistical difference was observed among the sites for any of the indexes calculated. Figure S6. Effect of insecticides leafhopper population control. Only those with a number of applications higher or equal to five are presented. We did not find statistical differences among the treatments before and after the application of the insecticides with p = 0.8488. Figure S7. Effect of insecticides on Macrosteles quadrilineatus and Empoasca fabae population control. All insecticides (n = 12) are represented but the statistical analysis was only performed with those that the number of applications was higher than 5. We did not find statistical differences among the treatments before and after the application of the insecticides with p = 0.1781 for the aster leafhopper M. quadrilineatus and p = 0.6540 for the potato leafhopper E. fabae. Figure S8. Comparison among the Shannon index obtained for leafhopper populations in viney
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Figure S1. Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the strawberry fields were located. Statistical analyses were performed for Shannon and Simpson finding that in both cases there is no interaction between years and regions with p = 0.0889 and p = 0.7139, respectively. Figure S2. Distinctive RFLP patterns obtained with CpnClassiPhyR from in silico digestion of cpn60UT from SbGPQ clones and AY-Col. Lanes labelled MW in in silico RFLP represent HaeIII-digested phage ϕX174 DNA. Figure S3. Phylogenetic tree using neighbour-joining method of the 16S, secY, nusA, rp, secA, cpn60 and tuf sequences obtained in this study for the SbGP phytoplasma and sequences retrieved from Genbank. Acholeplasma laidlawii PG8 was used as an outgroup. The phylogenetic tree was bootstrapped 1000 times to achieve reliability. Bar, 1 substitution in 100 or 500 positions.  Fig. S3 Panel 1: cpn60UT, tuf, and secY trees. Fig. S3 Panel 2: nusA, rp, and secA trees. Fig. S3 Panel 3: 16S tree with subtree showing heterogeneity of SbGPQ and 'Ca. P. tritici'. Figure S4. Leafhopper feeding-associated damages observed in strawberry plants. A, in the field. B, in the greenhouse after incubation with leafhoppers. Figure S5. Alpha diversity indexes were calculated to study Macrosteles quadrilineatus microbiome observed for each growing season. No statistical difference was observed among the sites for any of the indexes calculated. Figure S6. Effect of insecticides leafhopper population control. Only those with a number of applications higher or equal to five are presented. We did not find statistical differences among the treatments before and after the application of the insecticides with p = 0.8488. Figure S7. Effect of insecticides on Macrosteles quadrilineatus and Empoasca fabae population control. 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Figure S1. Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the strawberry fields were located. Statistical analyses were performed for Shannon and Simpson finding that in both cases there is no interaction between years and regions with p = 0.0889 and p = 0.7139, respectively. Figure S2. Distinctive RFLP patterns obtained with CpnClassiPhyR from in silico digestion of cpn60UT from SbGPQ clones and AY-Col. Lanes labelled MW in in silico RFLP represent HaeIII-digested phage ϕX174 DNA. Figure S3. Phylogenetic tree using neighbour-joining method of the 16S, secY, nusA, rp, secA, cpn60 and tuf sequences obtained in this study for the SbGP phytoplasma and sequences retrieved from Genbank. Acholeplasma laidlawii PG8 was used as an outgroup. The phylogenetic tree was bootstrapped 1000 times to achieve reliability. 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Figure S1. Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the strawberry fields were located. Statistical analyses were performed for Shannon and Simpson finding that in both cases there is no interaction between years and regions with p = 0.0889 and p = 0.7139, respectively. Figure S2. Distinctive RFLP patterns obtained with CpnClassiPhyR from in silico digestion of cpn60UT from SbGPQ clones and AY-Col. Lanes labelled MW in in silico RFLP represent HaeIII-digested phage ϕX174 DNA. Figure S3. Phylogenetic tree using neighbour-joining method of the 16S, secY, nusA, rp, secA, cpn60 and tuf sequences obtained in this study for the SbGP phytoplasma and sequences retrieved from Genbank. Acholeplasma laidlawii PG8 was used as an outgroup. The phylogenetic tree was bootstrapped 1000 times to achieve reliability. Bar, 1 substitution in 100 or 500 positions.  Fig. S3 Panel 1: cpn60UT, tuf, and secY trees. Fig. S3 Panel 2: nusA, rp, and secA trees. Fig. S3 Panel 3: 16S tree with subtree showing heterogeneity of SbGPQ and 'Ca. P. tritici'. Figure S4. Leafhopper feeding-associated damages observed in strawberry plants. A, in the field. B, in the greenhouse after incubation with leafhoppers. Figure S5. Alpha diversity indexes were calculated to study Macrosteles quadrilineatus microbiome observed for each growing season. No statistical difference was observed among the sites for any of the indexes calculated. Figure S6. Effect of insecticides leafhopper population control. Only those with a number of applications higher or equal to five are presented. We did not find statistical differences among the treatments before and after the application of the insecticides with p = 0.8488. Figure S7. Effect of insecticides on Macrosteles quadrilineatus and Empoasca fabae population control. All insecticides (n = 12) are represented but the statistical analysis was only performed with those that the number of applications was higher than 5. We did not find statistical differences among the treatments before and after the application of the insecticides with p = 0.1781 for the aster leafhopper M. quadrilineatus and p = 0.6540 for the potato leafhopper E. fabae. Figure S8. Comparison among the Shannon index obtained for leafhopper populations in vineyards in 2007 and 2008 and for leafhopper populations in strawberry fields in 2021 and 2022 in Quebec.</abstract><pub>Zenodo</pub><doi>10.5281/zenodo.8025511</doi><orcidid>https://orcid.org/0000-0002-3708-8558</orcidid><oa>free_for_read</oa></addata></record>
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subjects Cicadellidae
Climate change
Emerging plant pathogens
Insect-transmitted diseases
Insecticide resistance
Pesticide reduction
Sustainable agriculture
title Updated Supplementary Figures for Can leafhoppers help us trace the impact of climate change on agriculture?
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