Soybean is among South Africa's top crops in terms of production figures. Over the past few years there has been increasingly more damage caused to local soybean by plant-parasitic nematode infections. The presence of (root-knot nematodes) and spp. (root lesion nematodes) in soybean fields can cripple the country's production, however, little is known about the soil microbial communities associated with soybean in relation to different levels of and infestations, as well as the interaction(s) between them. Therefore, this study aimed to identify the nematode population assemblages and endemic rhizosphere bacteria associated with soybean using Next Generation Sequencing (NGS). The abundance of bacterial genera that were then identified as being significant using linear discriminant analysis (LDA) Effect Size (LEfSe) was compared to the abundance of the most prevalent plant-parasitic nematode genera found across all sampled sites, . and . While several bacterial genera were identified as significant using LEfSe, only two with increased abundance were associated with decreased abundance of and . However, six bacterial genera were associated with decreased abundance. It is therefore possible that endemic bacterial strains can serve as an alternative method for reducing densities of plant-parasitic nematode genera and in this way reduce the damages caused to this economically important crop.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469482PMC
http://dx.doi.org/10.3390/microorganisms9091813DOI Listing

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