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• W4220967471 abstract "The microbiota of invasive animal species may be pivotal to their adaptation and spread, yet the processes driving the assembly and potential sources of host-microbiota remain poorly understood. Here, we characterized microbiota of four Liriomyza leaf miner fly species totaling 310 individuals across 43 geographical populations in China and assessed whether the microbiota of the wild leaf miner was acquired from the soil microbiota or the host plant microbiota, using high-throughput 16S rRNA sequencing. Bacterial communities differed significantly among four leaf miner species but did not mirror host phylogeny. Microbiota diversity in the native L. chinensis was significantly higher than in three invasive leaf miners (i.e., L. trifolii, L. huidobrensis, and L. sativae), yet the microbial community of the invasive species exhibited a more connected and complex network structure. Structural equation models revealed that host species identity was more important than environmental factors (e.g., geography, climate, or plants) in shaping microbiota composition. Using neutral and null model analyses, we found that deterministic processes like variable selection played a primary role in driving microbial community assembly, with some influence by stochastic processes like drift. The relative degree of these processes governing microbiota was likely correlated with host species but independent of either geographical or climatic factors. Finally, source tracking analysis showed that leaf miners might acquire microbes from their host plant rather than the soil. Our results provide a robust assessment of the ecological processes governing bacterial community assembly and potential sources of microbes in invasive leaf miners. IMPORTANCE The invasion of foreign species, including leaf miners, is a major threat to world biota. Host-associated microbiota may facilitate host adaption and expansion in a variety of ways. Thus, understanding the processes that drive leaf miner microbiota assembly is imperative for better management of invasive species. However, how microbial communities assemble during the leaf miner invasions and how predictable the processes remain unexplored. This work quantitatively deciphers the relative importance of deterministic process and stochastic process in governing the assembly of four leaf miner microbiotas and identifies potential sources of leaf miner-colonizing microbes from the soil-plant-leaf miner continuum. Our study provides new insights into the mechanisms underlying the drive of leaf miner microbiota assembly." @default.
• W4220967471 created "2022-04-03" @default.
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• W4220967471 date "2022-04-27" @default.
• W4220967471 modified "2023-10-09" @default.
• W4220967471 title "Species Identity Dominates over Environment in Driving Bacterial Community Assembly in Wild Invasive Leaf Miners" @default.
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• W4220967471 cites W1964306176 @default.
• W4220967471 cites W1984724411 @default.
• W4220967471 cites W2006802554 @default.
• W4220967471 cites W2016557105 @default.
• W4220967471 cites W2059182707 @default.
• W4220967471 cites W2060485250 @default.
• W4220967471 cites W2068381362 @default.
• W4220967471 cites W2080283023 @default.
• W4220967471 cites W2088833470 @default.
• W4220967471 cites W2096916545 @default.
• W4220967471 cites W2097403532 @default.
• W4220967471 cites W2106788622 @default.
• W4220967471 cites W2108953564 @default.
• W4220967471 cites W2113977541 @default.
• W4220967471 cites W2124634097 @default.
• W4220967471 cites W2126034631 @default.
• W4220967471 cites W2128328289 @default.
• W4220967471 cites W2128437687 @default.
• W4220967471 cites W2131904767 @default.
• W4220967471 cites W2150342863 @default.
• W4220967471 cites W2154026962 @default.
• W4220967471 cites W2156546195 @default.
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• W4220967471 cites W2559292946 @default.
• W4220967471 cites W2599235425 @default.
• W4220967471 cites W2605076225 @default.
• W4220967471 cites W2754511195 @default.
• W4220967471 cites W2761955173 @default.
• W4220967471 cites W2762032929 @default.
• W4220967471 cites W2770666385 @default.
• W4220967471 cites W2799334566 @default.
• W4220967471 cites W2807379852 @default.
• W4220967471 cites W2884116017 @default.
• W4220967471 cites W2896273987 @default.
• W4220967471 cites W2897464140 @default.
• W4220967471 cites W2922883242 @default.
• W4220967471 cites W2923954815 @default.
• W4220967471 cites W2944010668 @default.
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• W4220967471 doi "https://doi.org/10.1128/spectrum.00266-22" @default.
• W4220967471 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35343791" @default.
• W4220967471 hasPublicationYear "2022" @default.
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