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      Description of New Morphological Variation of Culex ( Culex) coronator Dyar and Knab, 1906 and First Report of Culex ( Carrollia) bonnei Dyar, 1921 Found in the Central Region of Peru

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          Abstract

          Mosquitoes (Diptera: Culicidae) pose a significant threat to public health worldwide, especially in tropical and subtropical regions, where they act as primary vectors in transmission of infectious agents. In Peru, 182 culicid species have been identified and several species of the genus Culex are known to transmit arboviruses. However, knowledge of mosquito diversity and distribution remains limited, with many studies focusing on specific regions only. Here, we describe a new morphological variation of Cx. ( Culex) coronator Dyar and Knab, 1906, and report the presence of Culex ( Carrollia) bonnei Dyar, 1921 in the central region of Peru, Huanuco. Specimens were obtained through larvae collections and identified through morphologic characterization, including dissection of male genitalia, and molecular analyses. In total, 17 mosquitoes were analyzed, and the genitalia of the male specimens allowed the identification of Cx. coronator and Cx. bonnei. Partial sequences of the CoxI gene corresponding to these two species were obtained ( N = 10). Phylogenetic analysis revealed that the sequences of Cx. coronator grouped in a monophyletic clade with sequences ascribed to other species corresponding to the subgenus Carrollia, while Cx. bonnei specimens formed a monophyletic clade with homologous sequences from GenBank. This study underscores the importance of continued efforts to study the diversity and distribution of mosquitoes in Peru, including their potential role as vectors of human pathogens, to underpin effective disease control and prevention strategies, highlighting the importance of a complemented morphological and molecular analysis.

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          The online version contains supplementary material available at 10.1007/s13744-024-01160-7.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

            Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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              MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

              Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs.
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                Author and article information

                Contributors
                eddysonmont@gmail.com
                PAlmeida@ihmt.unl.pt
                Journal
                Neotrop Entomol
                Neotrop Entomol
                Neotropical Entomology
                Springer International Publishing (Cham )
                1519-566X
                1678-8052
                25 June 2024
                25 June 2024
                2024
                : 53
                : 4
                : 987-996
                Affiliations
                [1 ]Hermilio Valdizan National University (UNHEVAL), ( https://ror.org/051zgrs14) Huanuco, Peru
                [2 ]GRID grid.10772.33, ISNI 0000000121511713, Global Health and Tropical Medicine, GHTM, Associate Lab in Translation and Innovation Towards Global Health, LA-REAL, Institute of Hygiene and Tropical Medicine (IHMT), , Univ Nova de Lisboa (NOVA), ; Lisboa, Portugal
                Author notes

                Edited by Rodrigo Gurgel Gonçalves

                Author information
                http://orcid.org/0000-0003-3784-5827
                Article
                1160
                10.1007/s13744-024-01160-7
                11255002
                38918340
                fd88eca9-e331-4053-b24c-6f7bac475625
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 May 2023
                : 12 April 2024
                Categories
                Medical and Veterinary Entomology
                Custom metadata
                © Sociedade Entomológica do Brasil 2024

                Entomology
                coxi,barcode,mosquitoes,culicidae,genitalia
                Entomology
                coxi, barcode, mosquitoes, culicidae, genitalia

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