scholarly journals Detecting Signatures of Positive Selection against a Backdrop of Compensatory Processes

2020 ◽  
Vol 37 (11) ◽  
pp. 3353-3362
Author(s):  
Peter B Chi ◽  
Westin M Kosater ◽  
David A Liberles
Keyword(s):  
Amino Acids ◽  
Statistical Model ◽  
Positive Selection ◽  
Traditional Method ◽  
3D Structure ◽  
Evolutionary Time ◽  
Synonymous Substitutions ◽  
Synonymous Mutations ◽  
Parametric Bootstrapping

Abstract There are known limitations in methods of detecting positive selection. Common methods do not enable differentiation between positive selection and compensatory covariation, a major limitation. Further, the traditional method of calculating the ratio of nonsynonymous to synonymous substitutions (dN/dS) does not take into account the 3D structure of biomacromolecules nor differences between amino acids. It also does not account for saturation of synonymous mutations (dS) over long evolutionary time that renders codon-based methods ineffective for older divergences. This work aims to address these shortcomings for detecting positive selection through the development of a statistical model that examines clusters of substitutions in clusters of variable radii. Additionally, it uses a parametric bootstrapping approach to differentiate positive selection from compensatory processes. A previously reported case of positive selection in the leptin protein of primates was reexamined using this methodology.

New structural insights into anomeric carbohydrate recognition by frutalin: an α-d-galactose-binding lectin from breadfruit seeds

2019 ◽  
Vol 476 (1) ◽  
pp. 101-113 ◽  
Author(s):  
Antonio Eufrásio Vieira Neto ◽  
Felipe Domingos de Sousa ◽  
Humberto D'Muniz Pereira ◽  
Frederico Bruno Mendes Batista Moreno ◽  
Marcos Roberto Lourenzoni ◽  
...  
Keyword(s):  
Amino Acids ◽  
Biological Activities ◽  
3D Structure ◽  
Carbohydrate Binding ◽  
X Ray Crystallography ◽  
Multiple Binding Sites ◽  
Multiple Binding ◽  
New Perspective ◽  
Dynamics Simulations ◽  
Binding Lectin

Abstract Frutalin (FTL) is a multiple-binding lectin belonging to the jacalin-related lectin (JRL) family and derived from Artocarpus incisa (breadfruit) seeds. This lectin specifically recognizes and binds α-d-galactose. FTL has been successfully used in immunobiological research for the recognition of cancer-associated oligosaccharides. However, the molecular bases by which FTL promotes these specific activities remain poorly understood. Here, we report the whole 3D structure of FTL for the first time, as determined by X-ray crystallography. The obtained crystals diffracted to 1.81 Å (Apo-frutalin) and 1.65 Å (frutalin–d-Gal complex) of resolution. The lectin exhibits post-translational cleavage yielding an α- (133 amino acids) and β-chain (20 amino acids), presenting a homotetramer when in solution, with a typical JRL β-prism. The β-prism was composed of three 4-stranded β-sheets forming three antiparallel Greek key motifs. The carbohydrate-binding site (CBS) involved the N-terminus of the α-chain and was formed by four key residues: Gly25, Tyr146, Trp147 and Asp149. Together, these results were used in molecular dynamics simulations in aqueous solutions to shed light on the molecular basis of FTL-ligand binding. The simulations suggest that Thr-Ser-Ser-Asn (TSSN) peptide excision reduces the rigidity of the FTL CBS, increasing the number of interactions with ligands and resulting in multiple-binding sites and anomeric recognition of α-d-galactose sugar moieties. Our findings provide a new perspective to further elucidate the versatility of FTL in many biological activities.

scholarly journals Recent Applications of Retro-Inverso Peptides

2021 ◽  
Vol 22 (16) ◽  
pp. 8677
Author(s):  
Nunzianna Doti ◽  
Mario Mardirossian ◽  
Annamaria Sandomenico ◽  
Menotti Ruvo ◽  
Andrea Caporale
Keyword(s):  
Amino Acids ◽  
Neurodegenerative Diseases ◽  
De Novo ◽  
3D Structure ◽  
New Drugs ◽  
Side Chains ◽  
Pros And Cons ◽  
Endogenous Proteases ◽  
Natural Amino Acids ◽  
Poor Stability

Natural and de novo designed peptides are gaining an ever-growing interest as drugs against several diseases. Their use is however limited by the intrinsic low bioavailability and poor stability. To overcome these issues retro-inverso analogues have been investigated for decades as more stable surrogates of peptides composed of natural amino acids. Retro-inverso peptides possess reversed sequences and chirality compared to the parent molecules maintaining at the same time an identical array of side chains and in some cases similar structure. The inverted chirality renders them less prone to degradation by endogenous proteases conferring enhanced half-lives and an increased potential as new drugs. However, given their general incapability to adopt the 3D structure of the parent peptides their application should be careful evaluated and investigated case by case. Here, we review the application of retro-inverso peptides in anticancer therapies, in immunology, in neurodegenerative diseases, and as antimicrobials, analyzing pros and cons of this interesting subclass of molecules.

scholarly journals Genetic Diversity and Natural Selection of Plasmodium vivax Duffy Binding Protein-II From China-Myanmar Border of Yunnan Province, China

2021 ◽  
Vol 12 ◽  
Author(s):  
Tian-Qi Shi ◽  
Hai-Mo Shen ◽  
Shen-Bo Chen ◽  
Kokouvi Kassegne ◽  
Yan-Bing Cui ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Natural Selection ◽  
Genetic Differentiation ◽  
Positive Selection ◽  
Plasmodium Vivax ◽  
Yunnan Province ◽  
Duffy Binding Protein ◽  
Synonymous Mutations ◽  
Selection Of

Malaria incidence has declined dramatically over the past decade and China was certified malaria-free in 2021. However, the presence of malaria in border areas and the importation of cases of malaria parasites are major challenges for the consolidation of the achievements made by China. Plasmodium vivax Duffy binding protein (PvDBP) performs a significant role in erythrocyte invasion, and is considered a promising P. vivax vaccine. However, the highly polymorphic region of PvDBP (PvDBP-II) impedes the development of blood-stage vaccine against P. vivax. In this study, we investigated the genetic diversity and natural selection of PvDBP-II among 124 P. vivax isolates collected from the China-Myanmar border (CMB) in Yunnan Province, China, during 2009–2011. To compare genetic diversity, natural selection, and population structure with CMB isolates, 85 pvdbp-II sequences of eastern Myanmar isolates were obtained from GenBank. In addition, global sequences of pvdbp-II were retrieved from GenBank to establish genetic differentiation relationships and networks with the CMB isolates. In total, 22 single nucleotide polymorphisms reflected in 20 non-synonymous and two synonymous mutations were identified. The overall nucleotide diversity of PvDBP-II from the 124 CMB isolates was 0.0059 with 21 haplotypes identified (Hd = 0.91). The high ratio of non-synonymous to synonymous mutations suggests that PvDBP-II had evolved under positive selection. Population structure analysis of the CMB and eastern Myanmar isolates were optimally grouped into five sub-populations (K = 5). Polymorphisms of PvDBP-II display that CMB isolates were genetically diverse. Mutation, recombination, and positive selection promote polymorphism of PvDBP-II of P. vivax population. Although low-level genetic differentiation in eastern Myanmar was identified along with the more effective malaria control measures, the complexity of population structure in malaria parasites has maintained. In conclusion, findings from this study advance knowledge of the understanding of the dynamic of P. vivax population, which will contribute to guiding the rational design of a PvDBP-II based vaccine.

scholarly journals Parsing the synonymous mutations in the maize genome: isoaccepting mutations are more advantageous in regions with codon co-occurrence bias

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Duan Chu ◽  
Lai Wei
Keyword(s):  
Amino Acids ◽  
Natural Selection ◽  
Codon Bias ◽  
Synonymous Codon ◽  
Translation Efficiency ◽  
Maize Genome ◽  
Rna Seq ◽  
Synonymous Mutations ◽  
Coding Regions ◽  
The Relationship

Abstract Background Synonymous mutations do not change amino acids but do sometimes change the tRNAs (anticodons) that decode a particular codon. An isoaccepting codon is a synonymous codon that shares the same tRNA. If a mutated codon could base pair with the same anticodon as the original, the mutation is termed an isoaccepting mutation. An interesting but less-studied type of codon bias is codon co-occurrence bias. There is a trend to cluster the isoaccepting codons in the genome. The proposed advantage of codon co-occurrence bias is that the tRNA released from the ribosome E site could be quickly recharged and subsequently decode the following isoaccepting codons. This advantage would enhance translation efficiency. In plant species, whether there are signals of positive selection on isoaccepting mutations in the codon co-occurred regions has not been studied. Results We termed polymorphic mutations in coding regions using publicly available RNA-seq data in maize (Zea mays). Next, we classified all synonymous mutations into three categories according to the context, i.e., the relationship between the focal codon and the previous codon, as follows: isoaccepting, nonisoaccepting and nonsynonymous. We observed higher fractions of isoaccepting mutations in the isoaccepting context. If we looked at the minor allele frequency (MAF) spectrum, the isoaccepting mutations have a higher MAF in the isoaccepting context than that in other regions, and accordingly, the nonisoaccepting mutations have a higher MAF in the nonisoaccepting context. Conclusion Our results indicate that in regions with codon co-occurrence bias, natural selection maintains this pattern by suppressing the nonisoaccepting mutations. However, if the consecutive codons are nonisoaccepting, mutations tend to switch these codons to become isoaccepting. Our study demonstrates that the codon co-occurrence bias in the maize genome is selectively maintained by natural selection and that the advantage of this trend could potentially be the rapid recharging and reuse of tRNAs to increase translation efficiency.

scholarly journals Evolution of species-specific major seminal fluid proteins in placental mammals by gene death and positive selection

2015 ◽  
Vol 84 (3) ◽  
pp. 217-235 ◽  
Author(s):  
Camille Meslin ◽  
Michel Laurin ◽  
Isabelle Callebaut ◽  
Xavier Druart ◽  
Philippe Monget
Keyword(s):  
Amino Acids ◽  
Positive Selection ◽  
Statistical Power ◽  
Animal Species ◽  
Seminal Fluid ◽  
Domestic Animal ◽  
Secreted Proteins ◽  
Seminal Fluid Proteins ◽  
Species Specific ◽  
Complex Substance

The seminal fluid is a complex substance composed of a variety of secreted proteins and has been shown to play an important role in the fertilisation process in mammals and also in Drosophila. Several genes under positive selection have been documented in some rodents and primates. Our study documents this phenomenon in several other mammalian taxa. We study the evolution of genes that encode for 20 proteins that are quantitatively predominant in the seminal fluid of at least one out of seven domestic animal species. We analyse the amino acid composition of these proteins for positive selection and for the presence of pseudogenes. Genes that disappeared through pseudogenisation include KLK2 in cattle, horse and mice. Traces of positive selection are found in seven genes. The identified amino acids are located in regions exposed to the protein surface, suggesting a role in the interaction of gametes, with possible impact on the process of speciation. Moreover, we found no evidence that the predominance of proteins in seminal fluid and their mode of evolution are correlated, and the uncoupled patterns of change suggest that this result is not due solely to lack of statistical power.

scholarly journals Amino Acids Sequence Based in Silico Analysis of RuBisCO (Ribulose-1,5 Bisphosphate Carboxylase Oxygenase) Proteins in Some Carthamus L. ssp.

2017 ◽  
Vol 9 (2) ◽  
pp. 204-208 ◽  
Author(s):  
Emre SEVİNDİK
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Average Length ◽  
3D Structure ◽  
Three Dimensional ◽  
In Silico Analysis ◽  
Bisphosphate Carboxylase ◽  
Molecular Weights ◽  
Acid Ratio ◽  
Important Enzyme

RuBisCO is an important enzyme for plants to photosynthesize and balance carbon dioxide in the atmosphere. This study aimed to perform sequence, physicochemical, phylogenetic and 3D (three-dimensional) comparative analyses of RuBisCO proteins in the Carthamus ssp. using various bioinformatics tools. The sequence lengths of the RuBisCO proteins were between 166 and 477 amino acids, with an average length of 411.8 amino acids. Their molecular weights (Mw) ranged from 18711.47 to 52843.09 Da; the most acidic and basic protein sequences were detected in C. tinctorius (pI = 5.99) and in C. tenuis (pI = 6.92), respectively. The extinction coefficients of RuBisCO proteins at 280 nm ranged from 17,670 to 69,830 M-1 cm-1, the instability index (II) values for RuBisCO proteins ranged from 33.31 to 39.39, while the GRAVY values of RuBisCO proteins ranged from -0.313 to -0.250. The most abundant amino acid in the RuBisCO protein was Gly (9.7%), while the least amino acid ratio was Trp (1.6 %). The putative phosphorylation sites of RuBisCO proteins were determined by NetPhos 2.0. Phylogenetic analysis revealed that RuBisCO proteins formed two main clades. A RAMPAGE analysis revealed that 96.3%-97.6% of residues were located in the favoured region of RuBisCO proteins. To predict the three dimensional (3D) structure of the RuBisCO proteins PyMOL was used. The results of the current study provide insights into fundamental characteristic of RuBisCO proteins in Carthamus ssp.

scholarly journals Crossing fitness valleys via double substitutions within codons

BMC Biology ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Frida Belinky ◽  
Itamar Sela ◽  
Igor B. Rogozin ◽  
Eugene V. Koonin
Keyword(s):  
Amino Acid ◽  
Positive Selection ◽  
Fitness Landscape ◽  
Purifying Selection ◽  
Second Step ◽  
Nucleotide Substitutions ◽  
Protein Coding ◽  
Synonymous Substitutions ◽  
Ancestral States ◽  
Double Substitution

Abstract Background Single nucleotide substitutions in protein-coding genes can be divided into synonymous (S), with little fitness effect, and non-synonymous (N) ones that alter amino acids and thus generally have a greater effect. Most of the N substitutions are affected by purifying selection that eliminates them from evolving populations. However, additional mutations of nearby bases potentially could alleviate the deleterious effect of single substitutions, making them subject to positive selection. To elucidate the effects of selection on double substitutions in all codons, it is critical to differentiate selection from mutational biases. Results We addressed the evolutionary regimes of within-codon double substitutions in 37 groups of closely related prokaryotic genomes from diverse phyla by comparing the fractions of double substitutions within codons to those of the equivalent double S substitutions in adjacent codons. Under the assumption that substitutions occur one at a time, all within-codon double substitutions can be represented as “ancestral-intermediate-final” sequences (where “intermediate” refers to the first single substitution and “final” refers to the second substitution) and can be partitioned into four classes: (1) SS, S intermediate–S final; (2) SN, S intermediate–N final; (3) NS, N intermediate–S final; and (4) NN, N intermediate–N final. We found that the selective pressure on the second substitution markedly differs among these classes of double substitutions. Analogous to single S (synonymous) substitutions, SS double substitutions evolve neutrally, whereas analogous to single N (non-synonymous) substitutions, SN double substitutions are subject to purifying selection. In contrast, NS show positive selection on the second step because the original amino acid is recovered. The NN double substitutions are heterogeneous and can be subject to either purifying or positive selection, or evolve neutrally, depending on the amino acid similarity between the final or intermediate and the ancestral states. Conclusions The results of the present, comprehensive analysis of the evolutionary landscape of within-codon double substitutions reaffirm the largely conservative regime of protein evolution. However, the second step of a double substitution can be subject to positive selection when the first step is deleterious. Such positive selection can result in frequent crossing of valleys on the fitness landscape.

scholarly journals Invariants of the Space Point Element Structure and Their Applications

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yanping Mui ◽  
Youzheng Zhang ◽  
Guitao Cao
Keyword(s):  
Object Recognition ◽  
3D Reconstruction ◽  
Traditional Method ◽  
3D Structure ◽  
Geometric Invariant ◽  
Basic Matrix ◽  
Projective Invariants ◽  
Single Frame ◽  
Space Point ◽  
Geometric Relationship

In this paper, a new geometric structure of projective invariants is proposed. Compared with the traditional invariant calculation method based on 3D reconstruction, this method is comparable in the reliability of invariant calculation. According to this method, the only thing needed to find out is the geometric relationship between 3D points and 2D points, and the invariant can be obtained by using a single frame image. In the method based on 3D reconstruction, the basic matrix of two images is estimated first, and then, the 3D projective invariants are calculated according to the basic matrix. Therefore, in terms of algorithm complexity, the method proposed in this paper is superior to the traditional method. In this paper, we also study the projection transformation from a 3D point to a 2D point in space. According to this relationship, the geometric invariant relationships of other point structures can be easily derived, which have important applications in model-based object recognition. At the same time, the experimental results show that the eight-point structure invariants proposed in this paper can effectively describe the essential characteristics of the 3D structure of the target, without the influence of view, scaling, lighting, and other link factors, and have good stability and reliability.

Sign in / Sign up

Export Citation Format

Share Document