Genome Biology and Evolution
基因组生物学与进化
ISSN: 1759-6653
自引率: 6.7%
发文量: 270
被引量: 7387
影响因子: 4.061
通过率: 暂无数据
出版周期: 半年
审稿周期: 5
审稿费用: 0
版面费用: 暂无数据
年文章数: 270
国人发稿量: 21

期刊描述简介:

Genome Biology and Evolution (GBE) publishes leading original research at the interface between evolutionary biology and genomics. Papers considered for publication report novel evolutionary findings that concern natural genome diversity, population genomics, the structure, function, organisation and expression of genomes, comparative genomics, proteomics, and environmental genomic interactions. Major evolutionary insights from the fields of computational biology, structural biology, developmental biology, and cell biology are also considered, as are theoretical advances in the field of genome evolution. GBE’s scope embraces genome-wide evolutionary investigations at all taxonomic levels and for all forms of life — within populations or across domains. Its aims are to further the understanding of genomes in their evolutionary context and further the understanding of evolution from a genome-wide perspective. GBE is owned by the Society for Molecular Biology and Evolution (SMBE). Motivated by the continued growth of the field, SMBE conducted a grass-roots survey in 2007 to investigate the needs of the field regarding new publication outlets. The survey elicited a resounding response from members of SMBE and other scientists in the fields of genomics and molecular evolution. The key findings from that survey were that the field wanted an online only journal that was devoted specifically to the areas of genome evolution and comparative genomics and that was published under an Open Access model. The response of SMBE was to launch GBE in order to serve those needs of the field. The SMBE meeting attracts about 800 participants each year. As a reflection of the rapid growth of genomic technologies, about half of the science presented at each SMBE meeting is about genomics. With the help of the evolutionary expertise that is gathered in SMBE, GBE is positioned and designed to set the highest standards for papers in the growing field of evolutionary genomics.

最新论文
  • Domestication and the mitochondrial genome: comparing patterns and rates of molecular evolution in domesticated mammals and birds and their wild relatives.

    Studies of domesticated animals have led to the suggestion that domestication could have significant effects on patterns of molecular evolution. In particular, analyses of mitochondrial genome sequences from domestic dogs and yaks have yielded higher ratios of non-synonymous to synonymous substitutions in the domesticated lineages than in their wild relatives. These results are important because they imply that changes to selection or population size operating over a short timescale can cause significant changes to the patterns of mitochondrial molecular evolution. In this study, our aim is to test whether the impact on mitochondrial genome evolution is a general feature of domestication or whether it is specific to particular examples. We test whether domesticated mammals and birds have consistently different patterns of molecular evolution than their wild relatives for 16 phylogenetically independent comparisons of mitochondrial genome sequences. We find no consistent difference in branch lengths or dN/dS between domesticated and wild lineages. We also find no evidence that our failure to detect a consistent pattern is due to the short timescales involved or low genetic distance between domesticated lineages and their wild relatives. However, removing comparisons where the wild relative may also have undergone a bottleneck does reveal a pattern consistent with reduced effective population size in domesticated lineages. Our results suggest that, although some domesticated lineages may have undergone changes to selective regime or effective population size that could have affected mitochondrial evolution, it is not possible to generalize these patterns over all domesticated mammals and birds.

    被引量:7 发表:2014

统计分析
是否有问题?您可以直接对期刊官方提问 提问

最近浏览

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读