Amino acids show apparent propensities toward their neighbors. In addition to preferences of amino acids for their neighborhood context, amino acid substitutions are also considered to be context-dependent. However, context-dependence patterns of amino acid substitutions still remain poorly understood. Using relative entropy, we investigated the neighbor preferences of 20 amino acids and the context-dependent effects of amino acid substitutions with protein sequences in human, mouse, and dog. For 20 amino acids, the highest relative entropy was mostly observed at the nearest adjacent site of either N- or C-terminus except C and G. C showed the highest relative entropy at the third flanking site and periodic pattern was detected at G flanking sites. Furthermore, neighbor preference patterns of amino acids varied greatly in different secondary structures. We then comprehensively investigated the context-dependent effects of amino acid substitutions. Our results showed that nearly half of 380 substitution types were evidently context dependent, and the context-dependent patterns relied on protein secondary structures. Among 20 amino acids, P elicited the greatest effect on amino acid substitutions. The underlying mechanisms of context-dependent effects of amino acid substitutions were possibly mutation bias at a DNA level and natural selection. Our findings may improve secondary structure prediction algorithms and protein design; moreover, this study provided useful information to develop empirical models of protein evolution that consider dependence between residues.
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http://dx.doi.org/10.3390/ijms150915963 | DOI Listing |
Int J Syst Evol Microbiol
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Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center, Ningbo University, Ningbo 315800, PR China.
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Molecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.
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Institute of Plant Science and Resources, Okayama University, Okayama, Japan.
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Centre of Research for Development, University of Kashmir, Srinagar, 190006, India.
The fate and degradation of organic matter in aquatic systems is a vital link in nutrient cycling and sedimentation processes influenced by exogenous and endogenous factors, such as inputs from upstream sources, sediment suspension, and the decomposition of aquatic organisms. The interplay of organic carbon, microbes, and environmental factors shapes the distribution and degradation of organic matter. Characterizing the source distribution of sedimentary organic matter in aquatic systems using novel proxies can unravel new insights into the mechanisms that control its dispersal, preservation and fate, which is essential to understanding the global carbon and nitrogen cycles.
View Article and Find Full Text PDFPlant Foods Hum Nutr
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Facultad de Ciencias Químicas, Dirección de Investigaciones, Universidad Nacional de Asunción, P.O. 1055, San Lorenzo, Paraguay.
Concerns over malnutrition, synthetic additives and post-harvest waste highlight the need for innovation in food technology, turning towards underutilized crops. Plant-based beverages offer sustainable dietary alternatives and the increasing demand for such products makes the exploration of native crops particularly relevant. This study focuses on the development of a beverage derived from the native South American fruit kurugua (Sicana odorifera), combined with chia oil (Salvia hispanica L.
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