MOLECULAR BIOLOGY AND EVOLUTION 在分子（包括基因组学）和进化生物学的界面发表研究。我们考虑包含人口、分类、功能和表型组织各个层次的模式、过程和预测的手稿。除了具有更广泛范围和影响的基本发现外，我们还对出版新的和改进的方法、资源、技术和理论感兴趣，这些方法、资源、技术和理论将显着推进进化研究。我们还发表了对基因组进化最新发展的平衡评论和前瞻性观点，提出了分子进化领域或应用的未来方向。

The journal "Molecular Biology and Evolution" focuses on the interface of molecular biology and evolutionary biology, publishing research in this area. We welcome manuscripts that address patterns, processes, and predictions across various levels, including population, taxonomy, function, and phenotype. In addition to fundamental findings with broad implications, we are also interested in publishing new and improved methods, resources, technologies, and theories that significantly advance evolutionary research. Furthermore, we publish balanced reviews and forward-looking perspectives on the latest developments in genome evolution, proposing future directions for the field of molecular evolution and its applications.

《Molecular Biology and Evolution》期刊专注于分子生物学与进化生物学的交叉领域，发表相关研究成果。我们欢迎涉及种群、分类、功能和表型等多个层面的模式、过程和预测的手稿。除了具有广泛影响的基础研究发现外，我们也对新的和改进的方法、资源、技术和理论感兴趣，这些内容将显著推动进化研究的发展。此外，我们还发表关于基因组进化最新进展的综合评论和前瞻性观点，探讨分子进化领域及其应用的未来方向。

Molecular Biology and Evolution

PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML). The programs may be used to compare and test phylogenetic trees, but their main strengths lie in the rich repertoire of evolutionary models implemented, which can be used to estimate parameters in models of sequence evolution and to test interesting biological hypotheses. Uses of the programs include estimation of synonymous and nonsynonymous rates (d(N) and d(S)) between two protein-coding DNA sequences, inference of positive Darwinian selection through phylogenetic comparison of protein-coding genes, reconstruction of ancestral genes and proteins for molecular restoration studies of extinct life forms, combined analysis of heterogeneous data sets from multiple gene loci, and estimation of species divergence times incorporating uncertainties in fossil calibrations. This note discusses some of the major applications of the package, which includes example data sets to demonstrate their use. The package is written in ANSI C, and runs under Windows, Mac OSX, and UNIX systems. It is available at -- (http://abacus.gene.ucl.ac.uk/software/paml.html).

Z. Yang

PAML 4: Phylogenetic Analysis by Maximum Likelihood

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%. IQ-TREE is freely available at http://www.cibiv.at/software/iqtree.

Lam-Tung Nguyen

Heiko A. Schmidt

Arndt von Haeseler

Bui Quang Minh

IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

IQ-TREE：一种快速且有效的最大似然系统发育估计随机算法

IQ-TREE (http://www.iqtree.org, last accessed February 6, 2020) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models of sequence evolution and efficient computational approaches of phylogenetic inference to deal with genomic data. Here, we describe notable features of IQ-TREE version 2 and highlight the key advantages over other software.

Heiko A Schmidt

Olga Chernomor

Dominik Schrempf

Michael D Woodhams

Robert Lanfear

IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era

Abstract ModelTest-NG is a reimplementation from scratch of jModelTest and ProtTest, two popular tools for selecting the best-fit nucleotide and amino acid substitution models, respectively. ModelTest-NG is one to two orders of magnitude faster than jModelTest and ProtTest but equally accurate and introduces several new features, such as ascertainment bias correction, mixture, and free-rate models, or the automatic processing of single partitions. ModelTest-NG is available under a GNU GPL3 license at https://github.com/ddarriba/modeltest , last accessed September 2, 2019.

Diego Darriba

David Posada

Alexey M Kozlov

Alexandros Stamatakis

Benoit Morel

Tomas Flouri

ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models

Orthology inference is central to phylogenomic analyses. Phylogenomic data sets commonly include transcriptomes and low-coverage genomes that are incomplete and contain errors and isoforms. These properties can severely violate the underlying assumptions of orthology inference with existing heuristics. We present a procedure that uses phylogenies for both homology and orthology assignment. The procedure first uses similarity scores to infer putative homologs that are then aligned, constructed into phylogenies, and pruned of spurious branches caused by deep paralogs, misassembly, frameshifts, or recombination. These final homologs are then used to identify orthologs. We explore four alternative tree-based orthology inference approaches, of which two are new. These accommodate gene and genome duplications as well as gene tree discordance. We demonstrate these methods in three published data sets including the grape family, Hymenoptera, and millipedes with divergence times ranging from approximately 100 to over 400 Ma. The procedure significantly increased the completeness and accuracy of the inferred homologs and orthologs. We also found that data sets that are more recently diverged and/or include more high-coverage genomes had more complete sets of orthologs. To explicitly evaluate sources of conflicting phylogenetic signals, we applied serial jackknife analyses of gene regions keeping each locus intact. The methods described here can scale to over 100 taxa. They have been implemented in python with independent scripts for each step, making it easy to modify or incorporate them into existing pipelines. All scripts are available from https://bitbucket.org/yangya/phylogenomic_dataset_construction.

Ya Yang

Stephen A. Smith

Orthology Inference in Nonmodel Organisms Using Transcriptomes and Low-Coverage Genomes: Improving Accuracy and Matrix Occupancy for Phylogenomics

Abstract Rates of molecular evolution vary greatly among even closely related species. Although theory predicts that antagonistic interactions between species increase rates of molecular evolution, predictions for how mutualism affects evolutionary rates are mixed. We compared rates of molecular evolution between 1) mutualistic and non-mutualistic legumes, 2) an independent set of symbiotic rhizobia and their non-symbiotic close relatives, and 3) symbiotic and non-symbiotic clades within Ensifer, a diverse genus of bacteria with various lifestyles. We assembled transcriptomes de novo for 12 legume species and calculated dN/dS ratios at orthologous genes in all species to determine if genes in mutualistic plants evolve faster or slower than in their non-mutualistic relatives. We also calculated dN/dS ratios in genes known to be important for symbiosis. We found that mutualists have higher rates of molecular evolution genome-wide compared to non-mutualist legumes, but this pattern did not hold in symbiosis genes. We next calculated dN/dS ratios in 14 bacteria species across the proteobacteria phylogeny that differ in whether they associate mutualistically with plants, using published data. In most pairs, symbiotic rhizobia show higher dN/dS values compared to their non-symbiotic relatives. Within a bacterial genus with many well-characterized mutualist species (Ensifer), we calculated dN/dS ratios in symbiotic and non-symbiotic clades and found that symbiotic lineages have higher rates of molecular evolution genome-wide, but not at genes on the symbiotic plasmid pSymB. Our results suggest that although mutualism between legumes and rhizobia is associated with elevated rates of molecular evolution genome-wide, symbiosis genes may be evolutionarily stagnant.

T L Harrison

J R Stinchcombe

M E Frederickson

Elevated rates of molecular evolution genome-wide in mutualist legumes and rhizobia

互惠豆科植物和根瘤菌基因组范围内分子进化率升高

Abstract In recent years, advances in image processing and machine learning have fueled a paradigm shift in detecting genomic regions under natural selection. Early machine learning techniques employed population-genetic summary statistics as features, which focus on specific genomic patterns expected by adaptive and neutral processes. Though such engineered features are important when training data is limited, the ease at which simulated data can now be generated has led to the recent development of approaches that take in image representations of haplotype alignments and automatically extract important features using convolutional neural networks. Digital image processing methods termed α-molecules are a class of techniques for multi-scale representation of objects that can extract a diverse set of features from images. One such α-molecule method, termed wavelet decomposition, lends greater control over high-frequency components of images. Another α-molecule method, termed curvelet decomposition, is an extension of the wavelet concept that considers events occurring along curves within images. We show that application of these α-molecule techniques to extract features from image representations of haplotype alignments yield high true positive rate and accuracy to detect hard and soft selective sweep signatures from genomic data with both linear and nonlinear machine learning classifiers. Moreover, we find that such models are easy to visualize and interpret, with performance rivaling those of contemporary deep learning approaches for detecting sweeps.

Md Ruhul Amin

Mahmudul Hasan

Michael DeGiorgio

Digital image processing to detect adaptive evolution

数字图像处理用于检测适应性进化

Abstract Genes encoded within organelle genomes often evolve at rates different from those in the nuclear genome. Here, we analyzed the relative rates of nucleotide substitution in the mitochondrial, apicoplast and nuclear genomes in four different lineages of Plasmodium species (malaria parasites) infecting mammals. The rates of substitution in the three genomes exhibit substantial variation among lineages, with the relative rates of nuclear and mitochondrial DNA being particularly divergent between the Laverania (including Plasmodium falciparum) and Vivax lineages (including Plasmodium vivax). Consideration of synonymous and nonsynonymous substitution rates suggests that their variation is largely due to changes in mutation rates, with constraints on amino acid replacements remaining more similar among lineages. Mitochondrial DNA mutation rate variations among lineages may reflect differences in the long-term average lengths of the sexual and asexual stages of the life cycle. These rate variations have far-reaching implications for the use of molecular clocks to date Plasmodium evolution.

Hend Abu-Elmakarem

Oscar A MacLean

Frank Venter

Lindsey J Plenderleith

Richard L Culleton

Beatrice H Hahn

Paul M Sharp

Remarkable evolutionary rate variations among lineages and among genome compartments in malaria parasites of mammals

哺乳动物疟原虫在谱系间和基因组区间内显著的进化速率变异

Abstract Multiple rounds of whole-genome duplication (WGD) followed by diploidization have occurred throughout the evolutionary history of angiosperms. Much work has been done to model the genomic consequences and evolutionary significance of WGD. While researchers have historically modeled polyploids as either allopolyploids or autopolyploids, the variety of natural polyploids span a continuum of differentiation across multiple parameters, such as the extent of polysomic vs. disomic inheritance, and the degree of genetic differentiation between the ancestral lineages. Here we present a forward-time polyploid genome evolution simulator called SpecKS. SpecKS models polyploid speciation as originating from a 2D continuum, whose dimensions account for both the level of genetic differentiation between the ancestral parental genomes, as well the time lag between ancestral speciation and their subsequent reunion in the derived polyploid. Using extensive simulations, we demonstrate that changes in initial conditions along either dimension of the 2D continuum deterministically affect the shape of the Ks histogram. Our findings indicate that the error in the common method of estimating WGD time from the Ks histogram peak scales with the degree of allopolyploidy, and we present an alternative, accurate estimation method that is independent of the degree of allopolyploidy. Lastly, we use SpecKS to derive tests that infer both the lag time between parental divergence and WGD time, and the diversity of the ancestral species, from an input Ks histogram. We apply the latter test to transcriptomic data from over 200 species across the plant kingdom, the results of which are concordant with the prevailing theory that the majority of angiosperm lineages are derived from diverse parental genomes and may be of allopolyploid origin.

Tamsen Dunn

Arun Sethuraman

Accurate Inference of the Polyploid Continuum using Forward-time Simulations

使用向前时间模拟精确推断多倍体连续体

Abstract The evolution of sex chromosomes can involve recombination suppression sometimes involving structural changes, such as inversions, allowing subsequent rearrangements, including inversions and gene transpositions. In the two major genus Salix clades, Salix and Vetrix, almost all species are dioecious, and sex-linked regions have evolved on chromosome 7 and 15, with either male or female heterogamety. We used chromosome conformation capture (Hi-C) and PacBio HiFi (high-fidelity) reads to assemble chromosome-level, gap-free X and Y chromosomes from both clades, S. triandra (15XY system), a basal species in the Vetrix clade, and the Salix clade species S. mesnyi (7XY system). Combining these with other available genome assemblies, we found inversions within the sex-linked regions, which are likely to be pericentromeric and probably recombined rarely in the ancestral species, before sex-linkage evolved. The Y-linked regions in all 15XY and 7XY species include partial duplicates containing exon 1 of an ARR17-like gene similar to male-determining factors in other Salicaceae species. We also found duplicates of a Y-specific gene, which we named MSF. The derived Salix clade 7XY chromosome systems appear to have evolved when these two genes transposed from the 15Y to the 7Y. Additionally, the 7Y chromosomes in S. dunnii and S. chaenomeloides probably evolved from the ancestral 7X of the Salix clade, involving a similar transposition, and loss of the ancestral 7Y. We suggest that pericentromeric regions that recombine infrequently may facilitate the evolution of sex-linkage.

Yi Wang

Ren-Gang Zhang

Elvira Hörandl

Zhi-Xiang Zhang

Deborah Charlesworth

Li He

Evolution of sex-linked genes and the role of pericentromeric regions in sex chromosomes: insights from diploid willows

性连锁基因的演化及着丝粒周边区域在性染色体中的作用：二倍体柳树的启示

Abbreviation	Mol Biol Evol
Journal Impact	11.08
Quartiles(Global)	GENETICS & HEREDITY(Q1)

ISSN	0737-4038, 1537-1719
h-index	245
Top Journals	Yes

Publication Information	Publisher: Oxford University Press，Publishing cycle: Monthly，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 1983，Proportion of original research papers: 99.25%，Self Citation Rate:2.70%， Gold OA Rate: 95.42%
Journal Fees	$3255Details
Average review cycle	网友分享经验：平均1.0个月
Average recruitment ratio	网友分享经验：很难

Molecular Biology and Evolution

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