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      Characterization and phylogenetic implications of newly sequenced mitogenomes of Five Mileewa and Processina species from China (Hemiptera: Cicadellidae: Mileewinae)

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          Abstract

          To accumulate evidence of the phylogeny of Mileewinae and the relationships among Mileewa, Processina, and Ujna genera, we sequenced the complete mitochondrial genomes of four Mileewa spp., namely, Mileewa mira, Mileewa lamellata, Mileewa sharpa, and Mileewa amplimacula. The first complete mitogenome of the genus Processina ( P. sexmaculata), established by Yang, Deitz & Li from China and comprising five species, was also sequenced in this study. Annotation showed that the five mitogenomes were 14787 –15436 bp in length, and all harbored 37 typical genes. The AT content of the five mitogenomes ranged from 78.3% to 80.2%, which was similar to that of other sequenced Mileewinae species. For protein-coding genes (PCGs), ATN was the start codon, while atp8 and nad5 genes were initiated with TTG, and a great majority of them used TAA or TAG as stop codons, whereas cox2 and nad1 ended with an incomplete codon T–. All tRNAs had a typical cloverleaf secondary structure, except for trnS1, which had a reduced dihydrouridine arm. We further used 59 Membracoidea species and two outgroups to reconstruct phylogenetic trees based on 13 PCGs under an independent partition model with Bayesian inference and Maximum-likelihood methods. Among these two trees, each of the subfamilies Cicadellinae, Typhlocybinae, and Mileewinae were recovered as a monophyletic group with high support values, suggesting that Typhlocybinae was more ancient than Mileewinae and Cicadellinae. Within the Mileewinae subfamily, all species maintained the same relationships and topologies according to both the BI and ML analyses (PP > 0.8, BS > 83) as follows: ( M. sharpa + ( U. puerana + (( M. ponta + ( M. mira +  M. lamellata)) + (( M. albovittata + ( M. margheritae +  M. amplimacula)) + ( M. rufivena + ( P. sexmaculata +  M. alara)))))), and the monophyly of the genera Processina, Mileewa and Ujna were not supported. This study further enriches the Mileewinae mitogenome database and will contribute to future research on the systematics, evolution, and classification of this group.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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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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              MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

              Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
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                Author and article information

                Contributors
                gdgdly@126.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 December 2022
                2 December 2022
                2022
                : 12
                : 20852
                Affiliations
                [1 ]GRID grid.443382.a, ISNI 0000 0004 1804 268X, Institute of Entomology of Guizhou University, , Guizhou Provincial Key Laboratory for Agricultural Pest Management of the Mountainous Region, ; Guiyang, 550025 Guizhou China
                [2 ]GRID grid.443382.a, ISNI 0000 0004 1804 268X, College of Tobacco Sciences of Guizhou University, ; Guiyang, 550025 Guizhou China
                Article
                25376
                10.1038/s41598-022-25376-y
                9718768
                36460737
                d5dd8686-e348-47e1-be56-f1db00d53572
                © The Author(s) 2022

                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
                : 3 October 2022
                : 29 November 2022
                Funding
                Funded by: Guizhou Province Science and Technology Innovation Talent Team Project
                Award ID: Qian Ke He Pingtai Rencai - CXTD [2021]004
                Award Recipient :
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                © The Author(s) 2022

                Uncategorized
                entomology,taxonomy,comparative genomics
                Uncategorized
                entomology, taxonomy, comparative genomics

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