Back

Gut microbiota assemblages of generalist predators are driven by local- and landscape-scale factors

saqib, H. S. A.; sun, l.; Pozsgai, G.; liang, p.; Goraya, M. U.; Akutse, K. S.; You, M.; Gurr, G. M.; you, s.

2022-10-28 ecology Community evaluation
10.1101/2022.10.27.513979 bioRxiv
Show abstract

The gut microbiomes of arthropods are reported to have significant impact on key physiological functions such as nutrition, reproduction, behavior, and health. Spiders are diverse and numerically dominant predators in crop fields where they are potentially important regulators of pests. The taxonomic structure of spider gut microbiomes, and environmental drivers of composition are unknown. Harnessing spiders to support agricultural productivity is likely to be supported by an understanding of the gut microbiomes of these predators. This study aimed to deciphering the gut microbiome assembly of predators as well as elucidating the potential implications of key environmental constraints in this process. Here, we used high-throughput sequencing to examine for the first time how the assemblages of bacteria in the gut of spiders are shaped by diverse environmental variables. A total of 27 bacterial phyla were detected with Proteobacteria and Firmicutes dominant. The core bacterial communities included the families Enterobacteriaceae, Chloroplast, Lactobacillaceae, Pseudomonadaceae, Lachnospiraceae, Leuconostocaceae and Ruminococcaceae. Local drivers of microbiome composition were the globally-relevant input use system (organic production versus conventional practice), and crop identity (Chinese cabbage versus cauliflower). Landscape-scale factors, proportion of forest and grassland, compositional diversity, and habitat edge density, also strongly affected gut microbiota. Specific bacterial taxa were enriched in the gut of spiders sampled from different settings and seasons. These findings provide a comprehensive insight into the composition and plasticity of spider gut microbiota. Understanding the temporal responses of specific microbiota could lead to innovative strategies development for boosting biological control services of predators.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.