71 research outputs found

    The remarkable repeated evolution of herbicide resistance

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141556/1/ajb20181.pd

    Evolutionary epidemiology in the field: a proactive approach for identifying herbicide resistance in problematic crop weeds

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150501/1/nph15959_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150501/2/nph15959.pd

    A 454 survey of the community composition and core microbiome of the common bed bug, Cimex lectularius, reveals significant microbial community structure across an urban landscape

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    Elucidating the spatial dynamic and core constituents of the microbial communities found in association with arthropod hosts is of crucial importance for insects that may vector human or agricultural pathogens. The hematophagous Cimex lectularius, known as the common bed bug, has made a recent resurgence in North America, as well as worldwide, potentially owing to increased travel and resistance to insecticides. A comprehensive survey of the bed bug microbiome has not been performed to date, nor has an assessment of the spatial dynamics of its microbiome. Here we present a survey of bed bug microbial communities by amplifying the V4-V6 hypervariable region of the 16S rDNA gene region followed by 454 Titanium sequencing using 31 individuals from eight natural populations collected from residences in Cincinnati, OH. Across all samples, 97% of the microbial community is made up of two dominant OTUs identified as the {\alpha}-proteobacterium Wolbachia and an unnamed {\gamma}-proteobacterium from the Enterobacteriaceae. Microbial communities varied among host populations for measures of community diversity and exhibited significant population structure. We also uncovered a strong negative correlation in the abundance of the two dominant OTUs, suggesting they may fulfill similar roles as nutritional mutualists. This broad survey represents the most comprehensive assessment, to date, of the microbes that associate with bed bugs, and uncovers evidence for potential antagonism between the two dominant members of the bed bug microbiome

    Some perspective on Molecular Ecology perspectives: Are women being left out?

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149698/1/mec15063_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149698/2/mec15063.pd

    Some perspective on Molecular Ecology perspectives: Are women being left out?

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149698/1/mec15063_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149698/2/mec15063.pd

    A 454 Survey Reveals the Community Composition and Core Microbiome of the Common Bed Bug (Cimex lectularius) across an Urban Landscape

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    Elucidating the spatial dynamic and core constituents of the microbial communities found in association with arthropod hosts is of crucial importance for insects that may vector human or agricultural pathogens. The hematophagous Cimex lectularius (Hemiptera: Cimicidae), known as the human bed bug, has made a recent resurgence in North America, as well as worldwide, potentially owing to increased travel, climate change and resistance to insecticides. A comprehensive survey of the bed bug microbiome has not been performed to date, nor has an assessment of the spatial dynamics of its microbiome. Here we present a survey of internal and external bed bug microbial communities by amplifying the V4–V6 hypervariable region of the 16S rDNA gene region followed by 454 Titanium sequencing using 31 individuals from eight distinct collection locations obtained from residences in Cincinnati, OH. Across all samples, 97% of the microbial community is made up of two dominant OTUs, previously identified as the α-proteobacterium Wolbachia and an unnamed γ-proteobacterium from the Enterobacteriaceae. Microbial communities varied among host locations for measures of community diversity and exhibited structure according to collection location. This broad survey represents the most in-depth assessment, to date, of the microbes that associate with bed bugs

    Plant–environment interactions from the lens of plant stress, reproduction, and mutualisms

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154416/1/ajb21437.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154416/2/ajb21437_am.pd

    Shifts in outcrossing rates and changes to floral traits are associated with the evolution of herbicide resistance in the common morning glory

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    Humanâ mediated selection can strongly influence the evolutionary response of natural organisms within ecological timescales. But what traits allow for, or even facilitate, adaptation to the strong selection humans impose on natural systems? Using a combination of laboratory and greenhouse studies of 32 natural populations of the common agricultural weed, Ipomoea purpurea, we show that herbicideâ resistant populations selfâ fertilise more than susceptible populations. We likewise show that antherâ stigma distance, a floral trait associated with selfâ fertilisation in this species, exhibits a nonlinear relationship with resistance such that the most and least resistant populations exhibit lower antherâ stigma separation compared to populations with moderate levels of resistance. Overall, our results extend the general finding that plant mating can be impacted by humanâ mediated agents of selection to that of the extreme selection of the agricultural system. This work highlights the influence of humanâ mediated selection on rapid responses of natural populations that can lead to unexpected longâ term evolutionary consequences.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135395/1/ele12703_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/135395/2/ele12703.pd

    Fitness costs of herbicide resistance across natural populations of the common morning glory, Ipomoea purpurea

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/1/evo13016_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/2/evo13016.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134117/3/evo13016-sup-0001-FigS1.pd
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