基于个体的景观基因组学保护:分析管道。

IF 5.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Ecology Resources Pub Date : 2023-10-26 DOI:10.1111/1755-0998.13884
E Anne Chambers, Anusha P Bishop, Ian J Wang
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引用次数: 0

摘要

景观基因组学可以利用环境和遗传数据,通过提供景观如何塑造生物多样性的重要见解,为保护决策提供信息。基因组时代提供的遗传数据的大量增加为回答关键的保护遗传学问题提供了非凡的解决方案。非模型系统基因组数据的可访问性也使得从基于群体的采样转变为基于个体的采样,这现在提供了对遗传变异的准确和稳健的估计,可用于检查基因组多样性的空间结构、群体连通性和环境适应的性质。然而,在保护遗传学中采用基于个体的采样已经放缓,这在很大程度上是因为人们担心如何将为基于群体的采样开发的方法应用于基于个体的抽样方案。在这里,我们讨论了基于个体的采样对保护的好处,并描述了景观基因组方法与基于个体的取样相结合如何回答基本的保护问题。我们已经将关键的景观基因组学方法整合到一个用户友好的开源工作流程中,并作为一个新的R包,即R中的景观基因组分析工具包(algatr)提供。algatr包包括所有包含方法的新添加功能和广泛的小插曲,设计的主要目标是使景观基因组方法更容易获得,并明确适用于保护生物学。
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Individual-based landscape genomics for conservation: An analysis pipeline.

Landscape genomics can harness environmental and genetic data to inform conservation decisions by providing essential insights into how landscapes shape biodiversity. The massive increase in genetic data afforded by the genomic era provides exceptional resolution for answering critical conservation genetics questions. The accessibility of genomic data for non-model systems has also enabled a shift away from population-based sampling to individual-based sampling, which now provides accurate and robust estimates of genetic variation that can be used to examine the spatial structure of genomic diversity, population connectivity and the nature of environmental adaptation. Nevertheless, the adoption of individual-based sampling in conservation genetics has been slowed due, in large part, to concerns over how to apply methods developed for population-based sampling to individual-based sampling schemes. Here, we discuss the benefits of individual-based sampling for conservation and describe how landscape genomic methods, paired with individual-based sampling, can answer fundamental conservation questions. We have curated key landscape genomic methods into a user-friendly, open-source workflow, which we provide as a new R package, A Landscape Genomics Analysis Toolkit in R (algatr). The algatr package includes novel added functionality for all of the included methods and extensive vignettes designed with the primary goal of making landscape genomic approaches more accessible and explicitly applicable to conservation biology.

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来源期刊
Molecular Ecology Resources
Molecular Ecology Resources 生物-进化生物学
CiteScore
15.60
自引率
5.20%
发文量
170
审稿时长
3 months
期刊介绍: Molecular Ecology Resources promotes the creation of comprehensive resources for the scientific community, encompassing computer programs, statistical and molecular advancements, and a diverse array of molecular tools. Serving as a conduit for disseminating these resources, the journal targets a broad audience of researchers in the fields of evolution, ecology, and conservation. Articles in Molecular Ecology Resources are crafted to support investigations tackling significant questions within these disciplines. In addition to original resource articles, Molecular Ecology Resources features Reviews, Opinions, and Comments relevant to the field. The journal also periodically releases Special Issues focusing on resource development within specific areas.
期刊最新文献
Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada. Probe Capture Enrichment Sequencing of amoA Genes Improves the Detection of Diverse Ammonia-Oxidising Archaeal and Bacterial Populations. HMicroDB: A Comprehensive Database of Herpetofaunal Microbiota With a Focus on Host Phylogeny, Physiological Traits, and Environment Factors. OGU: A Toolbox for Better Utilising Organelle Genomic Data. Correction to "Characterisation of Putative Circular Plasmids in Sponge-Associated Bacterial Communities Using a Selective Multiply-Primed Rolling Circle Amplification".
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