Abstract:The landmark-based morphometric and meristic analysis of the kelp grouper (Epinephelus bruneus), red spotted grouper (E. akaara) and seven-banded grouper (E. septemfasciatus) were performed to compare the differentiation of overall body shape and structure. The measurements of the morphometric dimensions were observed in 25 parts (truss dimension: 16 parts; head part dimension: 9 parts) of 38 morphometric dimensions and also meristic differences observed in 3 parts (dorsal fin, anal fin and caudal fin) of 6 me… Show more
“…In the early years of phylogenetics, perhaps when biomolecular sequences were not abundant, homology was predominately determined using traits expressed at the macro-morphological scale. This practice continues even today, albeit in a limited scope and most notably in cases where molecular data are not available or collection is not practical such as in the analysis of fossils [ 30 ] and fish genetics where large numbers of individuals from closely related taxa are regularly defined by both morphological and meristic metrics [ 31 ]. However, morphological traits to characterize taxa need not only be macro-morphological.…”
We have applied an alignment-free technique to infer functional relatedness among betacoronaviruses. This technique, concurrently being optimized for identifying novel prions, was adapted to gain new insights into coronavirus evolution, specifically in the context of the COVID-19 pandemic caused by novel coronavirus SARS-CoV-2. With COVID-19 already having killed over ∼4.8 million people worldwide as of this writing, novel methods for predicting the capacity for coronaviruses in general to infect human cells are needed. Our proposed method utilizes physicochemical properties of amino acids to develop a fully dynamic waveform representation of proteins that encodes both the amino acid content and the context of amino acids. These waveforms are then subjected to dynamic time warping and distance evaluation to develop a distance metric that is relatively less sensitive to variation in sequence length or primary amino acid composition. Using this method, we show that in contrast to alignment-based maximum likelihood and neighbor-joining phylogenetic analyses, all bat betacoronavirus spike protein receptor binding domains (RBDs) known to bind to the ACE2 receptor are found within a single physicochemical cluster. Further, other RBDs within that cluster are from pangolin coronaviruses, two of which have already been shown to bind to ACE2 while the others are suspected, yet unverified ACE2 binding domains. This finding is important because both SARS-CoV and SARS-CoV-2 use the host ACE2 receptor for cell entry. Surveillance for coronaviruses belonging to this cluster could potentially guide efforts to stifle or curtail potential and/or early zoonotic outbreaks with their associated deaths and financial devastation.
“…In the early years of phylogenetics, perhaps when biomolecular sequences were not abundant, homology was predominately determined using traits expressed at the macro-morphological scale. This practice continues even today, albeit in a limited scope and most notably in cases where molecular data are not available or collection is not practical such as in the analysis of fossils [ 30 ] and fish genetics where large numbers of individuals from closely related taxa are regularly defined by both morphological and meristic metrics [ 31 ]. However, morphological traits to characterize taxa need not only be macro-morphological.…”
We have applied an alignment-free technique to infer functional relatedness among betacoronaviruses. This technique, concurrently being optimized for identifying novel prions, was adapted to gain new insights into coronavirus evolution, specifically in the context of the COVID-19 pandemic caused by novel coronavirus SARS-CoV-2. With COVID-19 already having killed over ∼4.8 million people worldwide as of this writing, novel methods for predicting the capacity for coronaviruses in general to infect human cells are needed. Our proposed method utilizes physicochemical properties of amino acids to develop a fully dynamic waveform representation of proteins that encodes both the amino acid content and the context of amino acids. These waveforms are then subjected to dynamic time warping and distance evaluation to develop a distance metric that is relatively less sensitive to variation in sequence length or primary amino acid composition. Using this method, we show that in contrast to alignment-based maximum likelihood and neighbor-joining phylogenetic analyses, all bat betacoronavirus spike protein receptor binding domains (RBDs) known to bind to the ACE2 receptor are found within a single physicochemical cluster. Further, other RBDs within that cluster are from pangolin coronaviruses, two of which have already been shown to bind to ACE2 while the others are suspected, yet unverified ACE2 binding domains. This finding is important because both SARS-CoV and SARS-CoV-2 use the host ACE2 receptor for cell entry. Surveillance for coronaviruses belonging to this cluster could potentially guide efforts to stifle or curtail potential and/or early zoonotic outbreaks with their associated deaths and financial devastation.
“…In view of its high resolution, non‐destructiveness and speed, X‐ray photography is considered as a promising alternative method to detected morphological parameters, especially for the internal tissues (Kamminga, De Bruin, Geleijns, & Brazeau, 2017). A previous study had used X‐ray to detect the curvature degree of the vertebrae column by measuring the dotted line between the highest line and straight line in abdominal vertebrae (Lim et al., 2016). Wang and Tang (2014) used the X‐ray photographic method to study the number of vertebrae, rib and caudal vertebrae in Cypriniformes.…”
Morphological traits measurement still plays a key role in description, identification, classification and phylogenetics of species. However, the traditional morphological measurement method is inefficient and often destructive to the studied organism. In this study, we propose and test an X‐ray‐based technique for non‐destructive morphological studies of fish. We use this approach to attempt to discriminate four species from the genus Megalobrama on the basis of their morphometric and meristic traits. The results showed that there were significant differences (p < 0.05) in the morphological traits among the four species, and the meristic traits were more stable than the morphometric traits. The result of principal component analysis indicated that morphometric characters of Megalobrama hoffmanni were significantly different from the other three species. Megalobrama pellegrini was used as a model to compare and evaluate the accuracy of the two methods (X‐ray and traditional manual), and the results revealed that except for the undifferentiated traits, most of the morphometric traits detected by the traditional manual method were significantly higher than that detected by the X‐ray photography. Also, many standard deviation values produced by the X‐ray photographic method were smaller. Therefore, X‐ray photography is a suitable method for non‐destructive and accurate detection of morphological parameters in the genus Megalobrama.
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