scholarly journals Chemical characterizations of Neurotransmission Receptors of human and plant to unfold the evolutionary relationships among them

2021 ◽  
Author(s):  
ANTARA SENGUPTA ◽  
SUBHADIP CHAKRABORTY ◽  
PABITRA PAL CHOUDHURY
Keyword(s):  
Amino Acids ◽  
Nervous System ◽  
Comparative Study ◽  
Phylogenetic Trees ◽  
Chemical Properties ◽  
Protein Sequences ◽  
Close Relation ◽  
Receptor Protein ◽  
Evolutionary Relationships ◽  
Numerical Representation

Abstract Vertebrates have very well defined nervous system. It is established that plant also has an alternative sort of sensitive nervous system. Researchers find a close relationship of the neurotransmission mechanism of animal with the plant and suspects close relation in amino acid transport mechanism among both the organisms. Along with the abilities of determining protein structure and various functions, the chemical properties of amino acids also have great contribution in molecular evolution. Hence, in this present work it is aimed at making comparative study on the distribution of amino acids in the neurotransmission receptors associated to animals and plants, based on the chemical properties the amino acids contain. It is possible to classify 20 amino acids into 8 chemical groups and are identified by specific numeric value. The common pattern finding procedure in numerical representation of protein sequences find some conserved regions in the receptor protein sequences of both the species. The comparative study has been made on distributions of chemical properties in protein sequences of ionotropic glutamate receptor protein sequences and GABA receptor protein sequences of two species namely human, a vertebrate and Arabidopsis thaliana, a plant. Experiments have been carried out to calculate proximity between protein sequences based on the distribution of each chemical group (in percentage) in them and phylogenetic trees have been constructed to find evolutionary relationships of neurotransmission receptors of both the spices.

scholarly journals Sequence Characterization of Glutamate Receptor Genes of Rat a Vertebrate and Arabidopsis Thaliana a Plant

2018 ◽  
Author(s):  
Antara Sengupta ◽  
Pabitra Pal Choudhury ◽  
Subhadip Chakraborty
Keyword(s):  
Amino Acids ◽  
Arabidopsis Thaliana ◽  
Gene Family ◽  
Phylogenetic Trees ◽  
Chemical Properties ◽  
Protein Sequences ◽  
Data Set ◽  
Sequence Characterization ◽  
Conserved Regions ◽  
Long Course

AbstractiGluR gene family of a vertebrate, Rat and AtGLR gene family of a plant, Arabidopsis thaliana [4] perform some common functionalities in neuro-transmission, which have been compared quantitatively. Our attempt is based on the chemical properties of amino acids [6, 7, 8] comprising the primary protein sequences of the aforesaid genes. 19 AtGLR genes of length varying from 808 amino acid (aa) to 1039 aa and 16 iGluR genes length varying from 902aa to 1482 aa have been taken as data sets. Thus, we detected the commonalities (conserved elements) during the long evolution of plants and animals from a common ancestor [4]. Eight different conserved regions have been found based on individual amino acids. Two different conserved regions are also found, which are based on chemical groups of amino acids. We have tried too to find different possible patterns which are common throughout the data set taken. 9 such patterns have been found with size varying from 2 to 5 amino acids at different regions in each primary protein sequences. Phylogenetic trees of AtGLR and iGluR families have also been constructed. This approach is likely to shed light on the long course of evolution.

scholarly journals Novel Molecular Synapomorphies Demarcate Different Main Groups/Subgroups of Plasmodium and Piroplasmida Species Clarifying Their Evolutionary Relationships

Genes ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 490 ◽  
Author(s):  
Sharma ◽  
Gupta
Keyword(s):  
Phylogenetic Analysis ◽  
Phylogenetic Trees ◽  
Plasmodium Species ◽  
Protein Sequences ◽  
Evolutionary Relationships ◽  
Major Life ◽  
Comparative Analyses ◽  
Large Numbers ◽  
Conserved Signature Indels ◽  
Relationship Of

The class Hematozoa encompasses several clinically important genera, including Plasmodium, whose members cause the major life-threating disease malaria. Hence, a good understanding of the interrelationships of organisms from this class and reliable means for distinguishing them are of much importance. This study reports comprehensive phylogenetic and comparative analyses on protein sequences on the genomes of 28 hematozoa species to understand their interrelationships. In addition to phylogenetic trees based on two large datasets of protein sequences, detailed comparative analyses were carried out on the genomes of hematozoa species to identify novel molecular synapomorphies consisting of conserved signature indels (CSIs) in protein sequences. These studies have identified 79 CSIs that are exclusively present in specific groups of Hematozoa/Plasmodium species, also supported by phylogenetic analysis, providing reliable means for the identification of these species groups and understanding their interrelationships. Of these CSIs, six CSIs are specifically shared by all hematozoa species, two CSIs serve to distinguish members of the order Piroplasmida, five CSIs are uniquely found in all Piroplasmida species except B. microti and two CSIs are specific for the genus Theileria. Additionally, we also describe 23 CSIs that are exclusively present in all genome-sequenced Plasmodium species and two, nine, ten and eight CSIs which are specific for members of the Plasmodium subgenera Haemamoeba, Laverania, Vinckeia and Plasmodium (excluding P. ovale and P. malariae), respectively. Additionally, our work has identified several CSIs that support species relationships which are not evident from phylogenetic analysis. Of these CSIs, one CSI supports the ancestral nature of the avian-Plasmodium species in comparison to the mammalian-infecting groups of Plasmodium species, four CSIs strongly support a specific relationship of species between the subgenera Plasmodium and Vinckeia and three CSIs each that reliably group P. malariae with members of the subgenus Plasmodium and P. ovale within the subgenus Vinckeia, respectively. These results provide a reliable framework for understanding the evolutionary relationships among the Plasmodium/Piroplasmida species. Further, in view of the exclusivity of the described molecular markers for the indicated groups of hematozoa species, particularly large numbers of unique characteristics that are specific for all Plasmodium species, they provide important molecular tools for biochemical/genetic studies and for developing novel diagnostics and therapeutics for these organisms.

scholarly journals NeoCoV Is Closer to MERS-CoV than SARS-CoV

2020 ◽  
Vol 13 ◽  
pp. 117863372093071
Author(s):  
Mohamed M Hassan ◽  
Mohamed A Hussain ◽  
Sumaya Kambal ◽  
Ahmed A Elshikh ◽  
Osama R Gendeel ◽  
...  
Keyword(s):  
Amino Acids ◽  
Maximum Likelihood ◽  
Phylogenetic Trees ◽  
Chemical Properties ◽  
Structural Formula ◽  
Likelihood Method ◽  
Evolutionary Changes ◽  
Whole Genomes ◽  
Physical And Chemical ◽  
The Relationship

Recently, Coronavirus has been given considerable attention from the biomedical community based on the emergence and isolation of a deadly coronavirus infecting human. To understand the behavior of the newly emerging MERS-CoV requires knowledge at different levels (epidemiologic, antigenic, and pathogenic), and this knowledge can be generated from the most related viruses. In this study, we aimed to compare between 3 species of Coronavirus, namely Middle East Respiratory Syndrome (MERS-CoV), Severe Acute Respiratory Syndrome (SARS-CoV), and NeoCoV regarding whole genomes and 6 similar proteins (E, M, N, S, ORF1a, and ORF1ab) using different bioinformatics tools to provide a better understanding of the relationship between the 3 viruses at the nucleotide and amino acids levels. All sequences have been retrieved from National Center for Biotechnology Information (NCBI). Regards to target genomes’ phylogenetic analysis showed that MERS and SARS-CoVs were closer to each other compared with NeoCoV, and the last has the longest relative time. We found that all phylogenetic methods in addition to all parameters (physical and chemical properties of amino acids such as the number of amino acid, molecular weight, atomic composition, theoretical pI, and structural formula) indicated that NeoCoV proteins were the most related to MERS-CoV one. All phylogenetic trees (by both maximum-likelihood and neighbor-joining methods) indicated that NeoCoV proteins have less evolutionary changes except for ORF1a by just maximum-likelihood method. Our results indicated high similarity between viral structural proteins which are responsible for viral infectivity; therefore, we expect that NeoCoV sooner may appear in human-related infection.

scholarly journals A Numerical Representation and Classification of Codons to Investigate Codon Alternation Patterns during Genetic Mutations on Disease Pathogenesis

2020 ◽  
Author(s):  
Antara Sengupta ◽  
Pabitra Pal Choudhury ◽  
Subhadip Chakraborty ◽  
Swarup Roy ◽  
Jayanta Kumar Das ◽  
...  
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Chemical Properties ◽  
Numerical Representation ◽  
Missense Mutations ◽  
Disease Pathogenesis ◽  
Physical Density ◽  
Monogenic Diseases

Motivation: Alteration of amino acid is possible due to mutation in codons that could have a potential impact in a diseased condition. Effective mutation analysis can help to predict the fate of the diseased individual which can be validated later by in-vitro experimentations. It may also help an individual who is asymptomatic but having a particular genetic change for early detection and diagnosis during any terminal diseases. We try to investigate the codon alteration patterns and its impact during mutation for the genes known to be responsible for a particular disease.Results: For our current study, we consider neurodegenerative and monogenic diseases. We use numerical representation based on a determinative degree and classification of codons as well as amino acids into three different classes (Strong, Weak and Transition) for the analysis. Our analysis reveals that the strong class codons are highly mutated followed by weak and transition class. We observe that most of the mutations occur in the first or second positions in the codon rather than the third. While looking into the chemical properties of amino acid, we observe that amino acids belong to the aliphatic group are affected most during missense mutations. Our investigation further emphasises that in most of the cases the change in the determinative degree of codon due to mutation is directly proportional to the physical density property. In addition, our scheme gives a more microscopic and alternative representation of the existing codon table that helps in deciphering interesting codon alteration patterns during mutations in disease pathogenesis.

scholarly journals Protein sequence comparison under a new complex representation of amino acids based on their physio-chemical properties

2018 ◽  
Vol 7 (1.8) ◽  
pp. 181
Author(s):  
Jayanta Pal ◽  
Soumen Ghosh ◽  
Bansibadan Maji ◽  
Dilip Kumar Bhattacharya
Keyword(s):  
Amino Acids ◽  
Protein Sequence ◽  
Sequence Comparison ◽  
Phylogenetic Trees ◽  
Protein Sequences ◽  
Complex Representation ◽  
Hydrophobic Property ◽  
The Real ◽  
Pair Wise Comparison ◽  
Protein Sequence Comparison

The paper first considers a new complex representation of amino acids of which the real parts and imaginary parts are taken respectively from hydrophilic properties and residue volumes of amino acids. Then it applies complex Fourier transform on the represented sequence of complex numbers to obtain the spectrum in the frequency domain. By using the method of ‘Inter coefficient distances’ on the spectrum obtained, it constructs phylogenetic trees of different Protein sequences. Finally on the basis of such phylogenetic trees pair wise comparison is made for such Protein sequences. The paper also obtains pair wise comparison of the same protein sequences following the same method but based on a known complex representation of amino acids, where the real and imaginary parts refer to hydrophobicity properties and residue volumes of the amino acids respectively. The results of the two methods are now compared with those of the same sequences obtained earlier by other methods. It is found that both the methods are workable, further the new complex representation is better compared to the earlier one. This shows that the hydrophilic property (polarity) is a better choice than hydrophobic property of amino acids especially in protein sequence comparison.

Free l-amino acids and d-aspartate content in the nervous system of Cephalopoda. A comparative study

1995 ◽  
Vol 112 (4) ◽  
pp. 661-666 ◽  
Author(s):  
Antimo D'Aniello ◽  
Giovanna Nardi ◽  
Amedeo De Santis ◽  
Amedeo Vetere ◽  
Anna di Cosmo ◽  
...  
Keyword(s):  
Amino Acids ◽  
Nervous System ◽  
Comparative Study

ADAPTIVE CAPACITY OF EINKORN HUSKLESS IN THE SECOND, THIRD AND SEVENTH RUSSIAN FEDERATION REGIONS

1970 ◽  
pp. 34-38
Author(s):  
S. K. Temirbekova ◽  
M. Sh. Begeulov ◽  
Yu. V. Afanaseva ◽  
I. M. Kulikov ◽  
N. E. Ionova
Keyword(s):  
Amino Acids ◽  
Biochemical Analysis ◽  
Chemical Properties ◽  
First Grade ◽  
Essential Amino Acids ◽  
Wheat Grain ◽  
Volume Yield ◽  
Class 1 ◽  
Group B ◽  
Field And Laboratory Conditions

Biochemical, immunological and physico-chemical properties of an ancient wheat grain – hulless spelt cultivar Gremme are investigated. Biochemical analysis of grain revealed a high content of protein, fiber, macro-and microelements, a rich composition of essential amino acids, which is characteristic of ancient wheat species. Evaluated milling and baking properties of spelt flour. Physical and chemical parameters of spelt grain met the requirements for soft wheat grain class 1: the mass fraction of gluten-38.7 %, the nature of the grain-795 g / l, the number of drops-416 C, the total vitreousness-70 %. However, gluten had an increased stickiness, which is obviously due to the increased content of fiber and gliadin fraction. Grinding of spelt grain was carried out on the aggregate mill installation "Miller 100 Lux" to obtain baking flour of various cultivars. The overall yield of flour of the first grinding was 59.7 %. The highest volume yield (359 cm3) and the best organoleptic properties (total baking score – 3.6 points) were observed in a sample of bread baked from spelt flour that meets the requirements for wheat baking flour of the first grade. Studies have confirmed the possibility of using flour produced from the spelt grain of the Gremme variety for the production of bakery products of increased biological, therapeutic and prophylactic, nutritional value and with a high organoleptic rating. Cereals and flour are very rich in trace elements-manganese, selenium, zinc, potassium, iron, phosphorus, vitamins from group B and B, essential amino acids (biochemical analysis was carried out by the Cherkizovo Center). The cultivar is resistant to drought, heat, excessive moisture. Proved immunological properties to several diseases in the field and laboratory conditions-resistant to enzyme-mycotic seed depletion (EMIS), various types of rust, powdery mildew.

A Study on Host Tropism Determinants of Influenza Virus Using Machine Learning

2020 ◽  
Vol 15 (2) ◽  
pp. 121-134 ◽  
Author(s):  
Eunmi Kwon ◽  
Myeongji Cho ◽  
Hayeon Kim ◽  
Hyeon S. Son
Keyword(s):  
Machine Learning ◽  
Amino Acids ◽  
Influenza Virus ◽  
Random Forest ◽  
Physicochemical Properties ◽  
Protein Sequences ◽  
Influenza Viruses ◽  
Host Tropism ◽  
Post Hoc ◽  
Ha Protein

Background: The host tropism determinants of influenza virus, which cause changes in the host range and increase the likelihood of interaction with specific hosts, are critical for understanding the infection and propagation of the virus in diverse host species. Methods: Six types of protein sequences of influenza viral strains isolated from three classes of hosts (avian, human, and swine) were obtained. Random forest, naïve Bayes classification, and knearest neighbor algorithms were used for host classification. The Java language was used for sequence analysis programming and identifying host-specific position markers. Results: A machine learning technique was explored to derive the physicochemical properties of amino acids used in host classification and prediction. HA protein was found to play the most important role in determining host tropism of the influenza virus, and the random forest method yielded the highest accuracy in host prediction. Conserved amino acids that exhibited host-specific differences were also selected and verified, and they were found to be useful position markers for host classification. Finally, ANOVA analysis and post-hoc testing revealed that the physicochemical properties of amino acids, comprising protein sequences combined with position markers, differed significantly among hosts. Conclusion: The host tropism determinants and position markers described in this study can be used in related research to classify, identify, and predict the hosts of influenza viruses that are currently susceptible or likely to be infected in the future.

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