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Fulltext Comparative study of gut microbiota in wild and captive Malaysian Mahseer (Tor tambroides)

Tan CK, Natrah I, Suyub IB, Edward MJ, Kaman N, Samsudin AA

Microbiologyopen, 2019 05;8(5):e00734.
PMID: 30353678 DOI: 10.1002/mbo3.734

AIMS: The aim of this study was to identify and compare the gut microbial community of wild and captive Tor tambroides through 16S rDNA metagenetic sequencing followed by functions prediction.
METHODS AND RESULTS: The library of 16S rDNA V3-V4 hypervariable regions of gut microbiota was amplified and sequenced using Illumina MiSeq. The sequencing data were analyzed using Quantitative Insights into Microbial Ecology (QIIME) pipeline and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). The most abundant bacterial phyla in both wild and captive T. tambroides were Firmicutes, Proteobacteria, Fusobacteria and Bacteroidetes. Cetobacterium spp., Peptostreptococcaceae family, Bacteroides spp., Phosphate solubilizing bacteria PSB-M-3, and Vibrio spp. were five most abundant OTU in wild T. tambroides as compared to Cetobacterium spp., Citrobacter spp., Aeromonadaceae family, Peptostreptococcaceae family and Turicibacter spp. in captive T. tambroides.
CONCLUSION: In this study, the specimens of the wild T. tambroides contain more diverse gut microbiota than of the captive ones. The results suggested that Cetobacterium spp. is one of the core microbiota in guts of T. tambroides. Besides, high abundant Bacteroides spp., Citrobacter spp., Turicibacter spp., and Bacillus spp. may provide important functions in T. tambroides guts.
SIGNIFICANCE AND IMPACT OF THE STUDY: The results of this study provide significant information of T. tambroides gut microbiota for further understanding of their physiological functions including growth and disease resistance.
Fulltext Sanitation, water, energy use, and traffic volume affect environmental quality: Go-for-green developmental policies

Khalil L, Abbas S, Hussain K, Zaman K, Iswan, Salamun H, et al.

PLoS One, 2022;17(8):e0271017.
PMID: 36026488 DOI: 10.1371/journal.pone.0271017

Carbon emissions are primarily the result of human activity in urban areas. Inadequate sanitary facilities, contaminated drinking water, nonrenewable energy, and high traffic congestion have all impacted the natural ecosystem. Using data from 1975 to 2019, the study assessed the impact of the aforementioned variables on Pakistan's carbon emissions in light of this crucial fact. The ARDL cointegration method was used to estimate the short- and long-run parameter estimates. Urban sanitation challenges and energy consumption increase carbon emissions, which affects the natural environment by raising a country's carbon intensity. Economic expansion confirmed the inverted U-shaped relationship between carbon emissions and economic growth to verify the Environmental Kuznets Curve (EKC) hypothesis in the long run. In contrast, the monotonically rising function of carbon emissions provides evidence of the nation's economic development in the short run. Access to clean drinking water improves population health and encourages the purchase of eco-friendly products. The government must improve sanitation services and use renewable energy sources to enhance air quality.
Managing crime through quality education: A model of justice

Zaman K, Usman B, Sheikh SM, Iswan, Khan A, Kosnin ABM, et al.

Sci Justice, 2019 11;59(6):597-605.
PMID: 31606097 DOI: 10.1016/j.scijus.2019.08.004

The study examines the role of quality education in access to justice, using a panel data of 21 diversified countries for the period of 1990-2015. The findings show that there is a positive relationship between the presence of scientific and technical journals (STJ) articles and crime rates. The R&D expenditures does not substantially reduce crime rate while per capita income, trademark applications, and technical cooperation grants significantly reduce crime rates across countries. The panel fixed effect (FE) model confirmed the inverted U-shaped relationship between per capita income (GDPpc) and crime rate in the presence of STJ, while this result is changed in the case of GMM estimator. The results of panel causality confirmed the unidirectional causality running from crime rate to STJ and R&D expenditures, while there is bidirectional causality between i) GDPpc and technical cooperation grants, and between ii) energy efficiency and refugee population by country. The variance decomposition analysis (VDA) shows that R&D expenditures have a greater share to influence crime rate, while technical cooperation grants will affect STJ for the next 10 years time. This finding bolsters the conversation on the relationship between education and a reduction in crime rates.

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