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1.
PLoS One ; 12(2): e0171017, 2017.
Article in English | MEDLINE | ID: mdl-28152044

ABSTRACT

The gut microbiome community structure and development are associated with several health outcomes in young children. To determine the household influences of gut microbiome structure, we assessed microbial sharing within households in western Kenya by sequencing 16S rRNA libraries of fecal samples from children and cattle, cloacal swabs from chickens, and swabs of household surfaces. Among the 156 households studied, children within the same household significantly shared their gut microbiome with each other, although we did not find significant sharing of gut microbiome across host species or household surfaces. Higher gut microbiome diversity among children was associated with lower wealth status and involvement in livestock feeding chores. Although more research is necessary to identify further drivers of microbiota development, these results suggest that the household should be considered as a unit. Livestock activities, health and microbiome perturbations among an individual child may have implications for other children in the household.


Subject(s)
Gastrointestinal Microbiome , Livestock/microbiology , Animals , Biodiversity , Cattle/microbiology , Chickens/microbiology , Child, Preschool , Family Characteristics , Feces/microbiology , Female , Gastrointestinal Microbiome/genetics , Humans , Kenya , Male , Poultry/microbiology , RNA, Ribosomal, 16S , Rural Population
2.
Proc Natl Acad Sci U S A ; 100(18): 10552-7, 2003 Sep 02.
Article in English | MEDLINE | ID: mdl-12874387

ABSTRACT

Phytohormones regulate the protective responses of plants against both biotic and abiotic stresses by means of synergistic or antagonistic actions referred to as signaling crosstalk. A bottleneck in crosstalk research is the quantification of numerous interacting phytohormones and regulators. The chemical analysis of salicylic acid, jasmonic acid, indole-3-acetic acid, and abscisic acid is typically achieved by using separate and complex methodologies. Moreover, pathogen-produced phytohormone mimics, such as the phytotoxin coronatine (COR), have not been directly quantified in plant tissues. We address these problems by using a simple preparation and a GC-MS-based metabolic profiling approach. Plant tissue is extracted in aqueous 1-propanol and mixed with dichloromethane. Carboxylic acids present in the organic layer are methylated by using trimethylsilyldiazomethane; analytes are volatilized under heat, collected on a polymeric absorbent, and eluted with solvent into a sample vial. Analytes are separated by using gas chromatography and quantified by using chemical-ionization mass spectrometry that produces predominantly [M+H]+ parent ions. We use this technique to examine levels of COR, phytohormones, and volatile organic compounds in model systems, including Arabidopsis thaliana during infection with Pseudomonas syringae pv. tomato DC3000, corn (Zea mays) under herbivory by corn earworm (Helicoverpa zea), tobacco (Nicotiana tabacum) after mechanical damage, and tomato (Lycopersicon esculentum) during drought stress. Numerous complex changes induced by pathogen infection, including the accumulation of COR, salicylic acid, jasmonic acid, indole-3-acetic acid, and abscisic acid illustrate the potential and simplicity of this approach in quantifying signaling crosstalk interactions that occur at the level of synthesis and accumulation.


Subject(s)
Gas Chromatography-Mass Spectrometry/methods , Plant Growth Regulators/analysis , Plants/metabolism , Abscisic Acid/analysis , Amino Acids/analysis , Arabidopsis/chemistry , Arabidopsis/metabolism , Arabidopsis/microbiology , Cyclopentanes/analysis , Ethylenes/analysis , Indenes/analysis , Indoleacetic Acids/analysis , Oils, Volatile/analysis , Oxylipins , Plant Growth Regulators/biosynthesis , Plant Growth Regulators/physiology , Plants/chemistry , Reproducibility of Results , Salicylic Acid/analysis , Signal Transduction , Spectrometry, Mass, Electrospray Ionization , Toxins, Biological/analysis , Volatilization
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