| Literature DB >> 35259205 |
Nathan Garcia1,2, Eric Grenier2, Alain Buisson1, Laurent Folcher1.
Abstract
Plant parasitic nematodes are highly abundant in all agrosystems and some species can have a major impact on crop yields. To avoid the use of chemical agents and to find alternative methods to manage these pests, research studies have mainly focused on plant resistance genes and biocontrol methods involving host plants or natural enemies. A specific alternative method may consist in supporting non-damaging indigenous species that could compete with damaging introduced species to decrease and keep their abundance at low level. For this purpose, knowledge about the biodiversity, structure and functioning of these indigenous communities is needed in order to carry out better risk assessments and to develop possible future management strategies. Here, we investigated 35 root crop fields in eight regions over two consecutive years. The aims were to describe plant parasitic nematode diversity and to assess the potential effects of cultivation practices and environmental variables on communities. Community biodiversity included 10 taxa of plant parasitic nematodes. Despite no significant abundance variations between the two sampling years, structures of communities varied among the different regions. Metadata collected for the past six years, characterizing the cultural practices and soils properties, made it possible to evaluate the impact of these variables both on the whole community and on each taxon separately. Our results suggest that, at a large scale, many variables drive the structuration of the communities. Soil variables, but also rainfall, explain the population density variations among the geographical areas. The effect of the variables differed among the taxa, but fields with few herbicide applications and being pH neutral with low heavy metal and nitrogen concentrations had the highest plant parasitic nematode densities. We discuss how these variables can affect nematode communities either directly or indirectly. These types of studies can help to better understand the variables driving the nematode communities structuration in order to support the abundance of indigenous non-damaging communities that could compete with the invasive species.Entities:
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Year: 2022 PMID: 35259205 PMCID: PMC8903304 DOI: 10.1371/journal.pone.0265070
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Abundance comparison of the PPN communities found in 2015 and 2016 samplings.
| Mean ± Standard error in 100g of soil | Comparison 2015–2016 | Prevalence (%) | |||||
|---|---|---|---|---|---|---|---|
| 2015 (N = 35) | 2016 (N = 31) | W | p-value | significance | 2015 | 2016 | |
|
| 26.2 ± 9.2 | 67.9 ± 23.0 | 498.0 | 0.537 | 46 | 45 | |
|
| 60.5 ± 10.4 | 67.3 ± 14.6 | 567.0 | 0.757 | 91 | 77 | |
|
| 14.5 ± 5.8 | 16.5 ± 5.5 | 536.5 | 0.935 | 37 | 35 | |
| Other Telotylenchidae | 38.7 ± 6.7 | 84.9 ± 29.0 | 380.5 | 0.038 |
| 91 | 97 |
|
| 20.9 ± 6.7 | 38.3 ± 13.1 | 481.5 | 0.414 | 54 | 55 | |
|
| 2.6 ± 1.2 | 5.0 ± 2.6 | 524.0 | 0.746 | 20 | 23 | |
|
| 13.4 ± 5.9 | 8.0 ± 3.0 | 608.0 | 0.353 | 49 | 35 | |
|
| 0.5 ± 0.4 | - | - | - | 9 | 0 | |
|
| 1.3 ± 1.3 | 18.6 ± 6.0 | 325.0 | 2.09e-4 |
| 6 | 45 |
| 1312.6 ± 637.5 | 1685.6 ± 645.2 | 502.0 | 0.593 | 54 | 61 | ||
| Shannon-Weaver Index | 0.356 ± 0.037 | 0.413 ± 0.036 | 733.5 | 0.231 | |||
That data depict the mean of 35 and 31 fields surveyed in 2015 and 2016, respectively. “W” indicate the value of the Wilcoxon test;
* < 0.05;
** < 0.005;
*** < 0.001.
Prevalence indicate the percentage of fields where the taxon was found among all the fields of the same year.
Fig 1Outputs of the tb-RDA for which the environmental variables and the cultivation practices of the sampling year have been implemented.
Arrows and bold text indicate the significant variables after a permutation test. Modalities of soils depend on the proportion of sand, silt and clay in it (SoilSaSiC = majority of sand, then silt then clay; SoilSiCSa = majority of silt, than clay, then sand; SoilSiSaC = majority of silt, then sand, then clay).
Equations summarizing the model selection approach of the Poisson GLMMs for each taxa and each year periods.
Only significant variables are presented.
| Taxon | Year period | Significative variables | Taxon | Year period | Significative variables |
|---|---|---|---|---|---|
|
| n | Helico ~ C/N - Herbi |
| n | Crico ~ C/N - Herbi |
| n-1 | Helico ~ - Herbi | n-1 | Crico ~ - Herbi | ||
| n-2 | Helico ~ C/N | n-2 | Crico ~ C/N | ||
| n-3 | Helico ~ - Herbi | n-3 | Crico ~ C/N | ||
| n-4 | Helico ~ - Herbi | n-4 | Crico ~ C/N | ||
| n-5 | Helico ~ C/N | n-5 | Crico ~ C/N | ||
|
| n | Prat ~ - C/N - Zn |
| n | Melo ~ C/N + pH - Zn |
| n-1 | Prat ~ - C/N - Zn - Herbi | n-1 | Melo ~ C/N + pH - Zn | ||
| n-2 | Prat ~ - C/N - Zn - Herbi | n-2 | Melo ~ C/N + pH - Zn | ||
| n-3 | Prat ~ - C/N - Zn - Herbi | n-3 | Melo ~ C/N + pH - Zn | ||
| n-4 | Prat ~ - C/N - Zn - Herbi | n-4 | Melo ~ C/N + pH - Zn | ||
| n-5 | Prat ~ - C/N - Herbi | n-5 | Melo ~ C/N + pH - Zn | ||
| Telotylenchidae | n | Telotyl ~ pH - Zn - Herbi |
| n | Tricho ~ - Zn - Herbi |
| n-1 | Telotyl ~ pH - Zn + Herbi | n-1 | Tricho ~ - Zn | ||
| n-2 | Telotyl ~ pH - Zn + Herbi | n-2 | Tricho ~ - Zn - Herbi | ||
| n-3 | Telotyl ~ pH - Zn + Herbi | n-3 | Tricho ~ - Zn | ||
| n-4 | Telotyl ~ pH - Zn + Herbi | n-4 | Tricho ~ - Zn - Herbi | ||
| n-5 | Telotyl ~ - Herbi | n-5 | Tricho ~ - Zn | ||
|
| n | Parat ~ C/N + pH |
| n | Hetero ~ Zn - Herbi |
| n-1 | Parat ~ C/N + pH | n-1 | Hetero ~ Zn | ||
| n-2 | Parat ~ C/N + pH | n-2 | Hetero ~ Zn - Herbi | ||
| n-3 | Parat ~ C/N + pH | n-3 | Hetero ~ Zn - Herbi | ||
| n-4 | Parat ~ C/N + pH | n-4 | Hetero ~ - Herbi | ||
| n-5 | Parat ~ - Herbi | n-5 | Hetero ~ Herbi |
“C/N” correspond to carbon/nitrogen ratio; “Herbi” correspond the number of applications of herbicide products over the time period considered; “Zn” correspond to the quantity of zinc in the soil; “Year period” indicate which year of cultural practices have been considered (i.e. “n” means the cultural practices of the sampling year, “n-1” means the cultural practices of the sampling year and the first past year etc.) to observe potential cumulative effect. No variables had a significant impact on Amplimerlinus population variations, explaining its absence in this table.