Background: Common bean and cowpea contain about 25% protein and 25% fiber, and are recommended as complementary foods in sub-Saharan Africa.
Objective: The objective of this study was to determine if a daily legume supplement given to Malawian infants aged 6 to 12 mo alters the 16S configuration of the fecal microbiota as read out by amplicon sequence variants (ASVs).
Methods: This study was conducted within the context of a randomized, double-blind, controlled clinical trial to assess whether cowpea or common bean supplementation reduced intestinal permeability or increased linear growth. There were 2 village clusters in which the study was conducted. Fresh stool collections were flash frozen from 236 infants at ≤6 time points. The stools were sequenced using Earth Microbiome project protocols and data were processed using Qiime and Qiita, open-source, validated software packages. α-diversity was measured using the Faith's test. The 16S configuration was characterized by determining the weighted UniFrac distances of the ASVs and comparing them using permutational multivariate ANOVA.
Results: Among the 1249 samples analyzed, the α-diversity of the fecal microbiome was unchanged among subjects after initiation of legume supplementation. Neither cowpea nor common bean altered the overall 16S configuration at any age. The 16S configuration differed between children with adequate and poor linear growth aged from 6 to 9 mo, but no specific ASVs differed in relative abundance. The 16S configuration differed between children with normal and abnormal intestinal permeability at 9 mo, but no specific ASVs differed in relative abundance. Among categorical characteristics of the population associated with different 16S configurations, village cluster was most pronounced.
Conclusion: Legume supplementation in breastfed, rural African infants did not affect the structure of the gut microbial communities until the children were aged 9 mo. This trial was registered at clinicaltrials.gov as NCT02472262.
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http://dx.doi.org/10.1093/ajcn/nqaa011 | DOI Listing |
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State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; State Environmental Protection Key Laboratory of Estuarine and Coastal Environment, Chinese Research Academy of Environmental Science, Beijing 100012, China; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. Electronic address:
Identifying and differentiating human activities is crucial for effectively preventing the threats posed by environmental pollution to aquatic ecosystems and human health. Machine learning (ML) is a powerful analytical tool for tracking human impacts on river ecosystems based on high-through datasets. This study employed an ML framework and 16S rRNA sequencing data to reveal microbial dynamics and trace human activities across China.
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School of Infrastructure, Indian Institute of Technology Bhubaneswar, Jatni, Argul, Odisha, 752050, India.
Wastewater treatment processes are continually evolving to meet stringent environmental standards while optimizing energy consumption and operational costs. With significant advantages over more traditional approaches, the anammox process has become a hopeful substitute for nitrogen removal. The objective of this work was to evaluate upflow anaerobic sludge blanket reactor (UASBR), moving bed biofilm reactor (MBBR), and sequential batch reactor (SBR) among diverse reactor configurations, in culturing anammox bacteria and achieving nitrogen removal efficiencies.
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Nanocarbon and Sensor Laboratory, Department of Physics, School of Natural Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Greater Noida, India. Electronic address:
Detection of bacteremia requires recognizing bloodstream bacteria. Early identification of bacteremia is imperative for treatment and prevents the escalation to systemic infections like septicaemia. This paper introduces a novel, label-free biosensor based on liquid crystals (LCs), designed to offer rapid and reliable optical detection of blood pathogens without using traditional PCR methods.
View Article and Find Full Text PDFFront Microbiol
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College of Plant Protection, Southwest University, Chongqing, China.
Introduction: Fusarium wilt disease (FWD) of tobacco is a destructive disease caused by spp. in tobacco-growing regions worldwide. The spp.
View Article and Find Full Text PDFUltrason Sonochem
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College of Life Sciences, Engineering Research Center of Bioreactor and Pharmaceutical Development, Ministry of Education, Jilin Agricultural University, Changchun 130118, PR China. Electronic address:
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