我的朋友,答案就是 "随风飘扬":吹风取样为鲸鱼种群监测提供了一个新的维度。

IF 5.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Ecology Resources Pub Date : 2024-08-26 DOI:10.1111/1755-0998.14012
Elena Valsecchi
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引用次数: 0

摘要

海洋哺乳动物在健康的海洋生态系统运作中扮演着重要角色,是重要的指示物种。对研究人员来说,研究它们的生物学、分布、行为和健康状况在技术和后勤方面仍然是一项艰巨的任务。然而,这些努力和承诺并没有白费,因为我们看到,由于众多领域的技术进步,对这些动物的研究正在不断取得指数级进展。这包括生物标签的微型化和高性能化,这些标签配备了用于测量生理参数、水听器、加速度计、时间深度记录和空间位置的传感器;利用高通量 "下一代 "测序技术,从环境样本中浓度极低的核酸中获取群落和物种个体的遗传信息;以及利用自主航空器和水下航行器监测物种的可能性。与此同时,计算和统计建模框架的进步也为分析日益庞大和复杂的数据集提供了支持。在本期中,O'Mahony 等人(2024 年)至少借鉴了其中两项创新:(a) 使用改装过的无人机从大型鲸鱼吹气处收集生物材料;(b) 利用样本推断目标动物/种群的广泛遗传信息(包括核和线粒体)。这种方法并不完全新颖,但与之前使用相同方法进行的研究相比,该研究在获得数据量方面取得了令人瞩目的进步。在取得这些令人鼓舞的成果之后,我们对目前使用的其他取样方法的未来前景进行了评估。可以推测,在未来几年内,非侵入性分子剖析与增强型无人机技术(如组装越来越小的组件,从而扩大自主运行能力)的结合将开辟本世纪初无法想象的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The answer, my friend, is blowin’ in the wind: Blow sampling provides a new dimension to whale population monitoring

Marine mammals play a fundamental role in the functioning of healthy marine ecosystems and are important indicator species. Studying their biology, distributions, behaviour and health are still technically and logistically demanding for researchers. However, the efforts and commitment have not been in vain, since we are witnessing constant and exponential advancement in the study of these animals, thanks to technological progress in numerous fields. These include miniaturization and performance of biologger tags, which are equipped with sensors for measuring physiological parameters, hydrophones, accelerometers, time-depth records and spatial locations; the use of high throughput ‘Next Generation’ Sequencing to gain genetic information about communities and individual species from nucleic acids in environmental samples at miniscule concentrations; through, to the possibility of monitoring species with autonomous aerial and underwater vehicles. In parallel advances in computing and statistical modelling frameworks support the analysis of increasingly large and complex data sets. In this issue, O'Mahony et al. (2024) draw from at least two of these innovations: (a) the collection of biological material retrieved from large whales' blows using a modified drone and (b) the use of the samples to infer a wide spectrum of genetic information (both nuclear and mitochondrial) about the target animal/population. The methodology is not completely novel, but the study shows an impressive advancement in the amount of data obtained compared to preceding studies using the same approach. In the wake of these promising results, future perspectives are evaluated in relation to alternative sampling methodologies currently in use. It is possible to speculate that, in the next few years, the combination of non-invasive molecular profiling and enhanced drone technology (e.g. assembling increasingly smaller components, thus expanding capacity for autonomous operation) will open up perspectives that were unimaginable at the beginning of this millennium.

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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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