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Implication of microplastics on soil faunal communities - identifying gaps of knowledge. 微塑料对土壤动物群落的影响——识别知识空白。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-12-01 DOI: 10.1042/ETLS20220023
Bas Boots

There is mounting evidence that plastic and microplastic contamination of soils can affect physico-chemical processes and soil fauna, as has been excellently summarised in many recently published meta-analyses and systematic reviews elsewhere. It has become clear that impacts are highly context dependent on, e.g. polymer type, shape, dose and the soil itself. Most published studies are based on experimental approaches using (semi-)controlled laboratory conditions. They typically focus on one or several representative animal species and their behaviour and/or physiological response - for example, earthworms, but rarely on whole communities of animals. Nevertheless, soil animals are rarely found in isolation and form part of intricate foodwebs. Soil faunal biodiversity is complex, and species diversity and interactions within the soil are very challenging to unravel, which may explain why there is still a dearth of information on this. Research needs to focus on soil animals from a holistic viewpoint, moving away from studies on animals in isolation and consider different trophic levels including their interactions. Furthermore, as evidence obtained from laboratory studies is complemented by relatively few studies done in field conditions, more research is needed to fully understand the mechanisms by which plastic pollution affects soil animals under realistic field conditions. However, field-based studies are typically more challenging logistically, requiring relatively large research teams, ideally of an interdisciplinary nature to maintain long-term field experiments. Lastly, with more alternative, (bio)degradable and/or compostable plastics being developed and used, their effects on soil animals will need to be further researched.

越来越多的证据表明,塑料和微塑料污染会影响土壤的物理化学过程和土壤动物,这在其他地方最近发表的许多荟萃分析和系统综述中得到了很好的总结。很明显,影响高度取决于具体情况,例如聚合物类型、形状、剂量和土壤本身。大多数发表的研究是基于使用(半)控制的实验室条件的实验方法。它们通常关注一种或几种具有代表性的动物物种及其行为和/或生理反应——例如蚯蚓,但很少关注整个动物群落。然而,土壤动物很少被孤立地发现,它们是复杂食物网的一部分。土壤动物多样性是复杂的,土壤中的物种多样性和相互作用是非常具有挑战性的,这可能解释了为什么在这方面仍然缺乏信息。研究需要从整体的角度关注土壤动物,而不是孤立地研究动物,而是考虑不同的营养水平,包括它们之间的相互作用。此外,由于从实验室研究中获得的证据与在实地条件下进行的相对较少的研究相辅相成,因此需要更多的研究来充分了解塑料污染在实际实地条件下影响土壤动物的机制。然而,实地研究通常在后勤上更具挑战性,需要相对较大的研究团队,最好是跨学科性质的团队,以维持长期的实地实验。最后,随着更多可替代的(生物)可降解和/或可堆肥塑料的开发和使用,它们对土壤动物的影响将需要进一步研究。
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引用次数: 4
Implications of plastic pollution on global marine carbon cycling and climate. 塑料污染对全球海洋碳循环和气候的影响。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-12-01 DOI: 10.1042/ETLS20220013
Karin Kvale

Plastic pollution can both chemically and physically impede marine biota. But it can also provide novel substrates for colonization, and its leachate might stimulate phytoplankton growth. Plastic contains carbon, which is released into the environment upon breakdown. All of these mechanisms have been proposed to contribute global impacts on open ocean carbon cycling and climate from ubiquitous plastic pollution. Laboratory studies produce compelling data showing both stimulation and inhibition of primary producers and disruption of predatory lifecycles at individual scale, but global carbon cycle impacts remain mostly unquantified. Preliminary modelling estimates ecosystem alterations and direct carbon release due to plastic pollution will remain vastly less disruptive to global carbon cycling than the direct damage wrought by fossil fuel carbon emissions. But when considered by mass, carbon in the form of bulky, persistent plastic particles may be disproportionally more influential on biogeochemical cycling than carbon as a gas in the atmosphere or as a dissolved component of seawater. Thus, future research should pay particular attention to the optical and other physical effects of marine plastic pollution on Earth system and ecological function, and resulting impacts on oxygen and nutrient cycling. Improved understanding of the breakdown of plastics in the marine environment should also be considered high-priority, as any potential perturbation of biological carbon cycling by plastic pollution is climate-relevant on centennial timescales and longer.

塑料污染会在化学上和物理上阻碍海洋生物群。但它也可以为殖民提供新的基质,它的渗滤液可能会刺激浮游植物的生长。塑料含有碳,分解后会释放到环境中。所有这些机制都被认为是由于无处不在的塑料污染对开放海洋碳循环和气候的全球影响。实验室研究得出了令人信服的数据,显示了个体尺度上对初级生产者的刺激和抑制以及对掠夺性生命周期的破坏,但全球碳循环的影响大部分仍未量化。初步模型估计,塑料污染造成的生态系统改变和直接碳释放对全球碳循环的破坏性仍将远远小于化石燃料碳排放造成的直接破坏。但如果从质量上考虑,以体积庞大、持久的塑料颗粒形式存在的碳对生物地球化学循环的影响可能比作为大气中的气体或作为海水中的溶解成分的碳要大得多。因此,未来的研究应特别关注海洋塑料污染对地球系统和生态功能的光学和其他物理效应,以及由此对氧气和养分循环的影响。提高对塑料在海洋环境中的分解的了解也应被视为高度优先事项,因为塑料污染对生物碳循环的任何潜在扰动都与百年或更长时间尺度上的气候有关。
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引用次数: 7
The ecological impact of plastic pollution in a changing climate. 塑料污染在气候变化中的生态影响。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-12-01 DOI: 10.1042/ETLS20220016
Gawsia Wahidunnessa Chowdhury, Heather J Koldewey, Md Nazmul Hasan Niloy, Subrata Sarker

Assessing three interlinked issues, plastic pollution, climate change and biodiversity loss separately can overlook potential interactions that may lead to positive or negative impacts on global ecosystem processes. Recent studies suggest that threatened species and ecosystems are vulnerable to both plastic pollution and climate change stressors. Here we consider the connectivity and state of knowledge between these three environmental issues with a focus on the Global South. Nine out of top ten Long-Term Climate Risk Index (CRI) (2000-2019) ranked countries are located within the Global South, yet research is focused in the Global North. A literature search for the top ten Long-Term Climate Risk Index (CRI) (2000-2019) ranked countries matched a total of 2416 (3.3% of global publications) search results on climate change, with 56 (4% of the global publications) on plastic pollution, and seven (7.7% of the global publications) on both climate change and plastic pollution. There is a strong correlation between the Global South and high biodiversity hotspots, high food insecurity and low environmental performance. Using Bangladesh as a case study, we show the erosion rates and sea level rise scenarios that will increase ocean-bound plastic pollution and impact high biodiversity areas. Poverty alleviation and promoting renewable energy and green practices can significantly reduce the stress on the environment. We recommend that these connected planetary threats can be best addressed through a holistic and collaborative approach to research, a focus on the Global South, and an ambitious policy agenda.

单独评估塑料污染、气候变化和生物多样性丧失这三个相互关联的问题,可能会忽略可能对全球生态系统过程产生积极或消极影响的潜在相互作用。最近的研究表明,受威胁的物种和生态系统容易受到塑料污染和气候变化压力的影响。在这里,我们以全球南方为重点,考虑这三个环境问题之间的联系和知识状况。在长期气候风险指数(CRI)(2000-2019)排名前十的国家中,有九个位于全球南方,但研究的重点是全球北方。对排名前10位的长期气候风险指数(CRI)(2000-2019)国家的文献检索发现,共有2416个(占全球出版物的3.3%)关于气候变化的搜索结果相匹配,其中56个(占全球出版物的4%)关于塑料污染,7个(占全球出版物的7.7%)关于气候变化和塑料污染。全球南方与高生物多样性热点、高粮食不安全和低环境绩效之间存在很强的相关性。以孟加拉国为例,我们展示了侵蚀率和海平面上升的情景,这些情景将增加海洋塑料污染并影响生物多样性高的地区。减轻贫困和促进可再生能源和绿色做法可以大大减少对环境的压力。我们建议,要解决这些相互关联的地球威胁,最好的办法是采取全面合作的研究方法,关注全球南方,制定雄心勃勃的政策议程。
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引用次数: 3
Plastic pollution of four understudied marine ecosystems: a review of mangroves, seagrass meadows, the Arctic Ocean and the deep seafloor. 四种研究不足的海洋生态系统的塑料污染:红树林、海草草甸、北冰洋和深海海底综述。
IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-12-01 DOI: 10.1042/ETLS20220017
Bruno Andreas Walther, Melanie Bergmann

Plastic pollution is now a worldwide phenomenon affecting all marine ecosystems, but some ecosystems and regions remain understudied. Here, we review the presence and impacts of macroplastics and microplastics for four such ecosystems: mangroves, seagrass meadows, the Arctic Ocean and the deep seafloor. Plastic production has grown steadily, and thus the impact on species and ecosystems has increased, too. The accumulated evidence also indicates that plastic pollution is an additional and increasing stressor to these already ecosystems and many of the species living in them. However, laboratory or field studies, which provide strong correlational or experimental evidence of ecological harm due to plastic pollution remain scarce or absent for these ecosystems. Based on these findings, we give some research recommendations for the future.

塑料污染现已成为影响所有海洋生态系统的世界性现象,但对某些生态系统和区域的研究仍然不足。在此,我们回顾了红树林、海草草甸、北冰洋和深海海底这四个生态系统中存在的大塑料和微塑料及其影响。塑料产量稳步增长,因此对物种和生态系统的影响也随之增加。积累的证据还表明,塑料污染对这些生态系统和生活在其中的许多物种造成了额外的、日益严重的压力。然而,对于这些生态系统来说,能够提供塑料污染对生态造成危害的有力相关或实验证据的实验室或实地研究仍然很少或根本没有。基于这些发现,我们对未来的研究提出了一些建议。
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引用次数: 0
Spatial patterns in ecological systems: from microbial colonies to landscapes. 生态系统的空间格局:从微生物群落到景观。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-06-09 DOI: 10.1042/ETLS20210282
R. Martínez-García, C. Tarnita, J. A. Bonachela
Self-organized spatial patterns are ubiquitous in ecological systems and allow populations to adopt non-trivial spatial distributions starting from disordered configurations. These patterns form due to diverse nonlinear interactions among organisms and between organisms and their environment, and lead to the emergence of new (eco)system-level properties unique to self-organized systems. Such pattern consequences include higher resilience and resistance to environmental changes, abrupt ecosystem collapse, hysteresis loops, and reversal of competitive exclusion. Here, we review ecological systems exhibiting self-organized patterns. We establish two broad pattern categories depending on whether the self-organizing process is primarily driven by nonlinear density-dependent demographic rates or by nonlinear density-dependent movement. Using this organization, we examine a wide range of observational scales, from microbial colonies to whole ecosystems, and discuss the mechanisms hypothesized to underlie observed patterns and their system-level consequences. For each example, we review both the empirical evidence and the existing theoretical frameworks developed to identify the causes and consequences of patterning. Finally, we trace qualitative similarities across systems and propose possible ways of developing a more quantitative understanding of how self-organization operates across systems and observational scales in ecology.
自组织空间模式在生态系统中普遍存在,并允许种群从无序配置开始采用非平凡的空间分布。这些模式是由于生物体之间以及生物体与其环境之间的各种非线性相互作用而形成的,并导致自组织系统特有的新的(生态)系统级特性的出现。这种模式的后果包括对环境变化的更高弹性和抵抗力、生态系统的突然崩溃、滞后循环和竞争排斥的逆转。在这里,我们回顾了表现出自组织模式的生态系统。我们建立了两个广泛的模式类别,这取决于自组织过程主要是由非线性密度相关的人口统计率驱动还是由非线性密度依赖的运动驱动。利用这个组织,我们研究了从微生物群落到整个生态系统的广泛观测尺度,并讨论了假设为观测模式基础的机制及其系统级后果。对于每一个例子,我们都会回顾经验证据和现有的理论框架,以确定模式形成的原因和后果。最后,我们追踪了不同系统之间的定性相似性,并提出了可能的方法来发展对自组织如何在生态学中跨系统和观测尺度运行的更定量的理解。
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引用次数: 7
God playing dice, revisited: determinism and indeterminism in studies of stochastic phenotypic variation. 上帝在玩骰子,重访:随机表型变异研究中的决定论和不确定性。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-05-27 DOI: 10.1042/ETLS20210285
D. Lajus
Empirical studies of phenotypic variation show that genetic and environmental heterogeneity account for only part of it. Usually, the magnitude of the residual variation is comparable with that of the genetic component, while notably exceeding the magnitude of the environmental component. This can be interpreted in two ways. A deterministic interpretation associates it with artifacts such as measurement error and genetic and environmental heterogeneity that is unaccounted for. An indeterministic interpretation argues that it is random or stochastic phenotypic variation (SPV) resulting from developmental instability - a developing organism's inability to produce a consistent phenotype in a given environment. Classical example of debates between determinists and indeterminists took place about a century ago in quantum physics. In discussing Heidelberg's Uncertainty Principle, Einstein metaphorically expressed his deterministic position: 'God does not play dice with universe'. The indeterministic Uncertainty Principle, however, was eventually widely accepted. Currently, most biologists implicitly or explicitly support deterministic interpretations of phenotypic variation patterns. Here, a wide range of data on morphological traits (studied with analysis of fluctuating asymmetry) and non-morphological traits are analyzed to provide evidence that SPV is not an artifact, but a valid phenomenon. This evidence supports conclusions that observed associations between SPV and stress can be analyzed in the framework of dynamic energy budget theory, and are inextricably linked through energy homeostasis.
表型变异的实证研究表明,遗传和环境异质性只占其中的一部分。通常,残余变异的大小与遗传成分的大小相当,但明显超过环境成分的大小。这可以用两种方式来解释。确定性解释将其与测量误差、遗传和环境异质性等未知因素联系起来。一种不确定性的解释认为,这是由发育不稳定引起的随机或随机表型变异(SPV),即发育中的生物体在给定环境中无法产生一致的表型。决定论者和不确定论者之间争论的经典例子发生在大约一个世纪前的量子物理学中。在讨论海德堡的不确定性原理时,爱因斯坦隐喻性地表达了他的确定性立场:“上帝不会和宇宙玩骰子”。然而,不确定性原则最终被广泛接受。目前,大多数生物学家含蓄或明确地支持表型变异模式的确定性解释。在这里,分析了大量关于形态特征(通过波动不对称性分析进行研究)和非形态特征的数据,以提供证据,证明SPV不是一种假象,而是一种有效的现象。这一证据支持了这样的结论,即观察到的SPV和压力之间的关联可以在动态能量预算理论的框架下进行分析,并且通过能量稳态密不可分。
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引用次数: 2
Omics-based ecosurveillance for the assessment of ecosystem function, health, and resilience. 基于组学的生态监测在生态系统功能、健康和恢复力评估中的应用
IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-04-15 DOI: 10.1042/ETLS20210261
David J Beale, Oliver A H Jones, Utpal Bose, James A Broadbent, Thomas K Walsh, Jodie van de Kamp, Andrew Bissett

Current environmental monitoring efforts often focus on known, regulated contaminants ignoring the potential effects of unmeasured compounds and/or environmental factors. These specific, targeted approaches lack broader environmental information and understanding, hindering effective environmental management and policy. Switching to comprehensive, untargeted monitoring of contaminants, organism health, and environmental factors, such as nutrients, temperature, and pH, would provide more effective monitoring with a likely concomitant increase in environmental health. However, even this method would not capture subtle biochemical changes in organisms induced by chronic toxicant exposure. Ecosurveillance is the systematic collection, analysis, and interpretation of ecosystem health-related data that can address this knowledge gap and provide much-needed additional lines of evidence to environmental monitoring programs. Its use would therefore be of great benefit to environmental management and assessment. Unfortunately, the science of 'ecosurveillance', especially omics-based ecosurveillance is not well known. Here, we give an overview of this emerging area and show how it has been beneficially applied in a range of systems. We anticipate this review to be a starting point for further efforts to improve environmental monitoring via the integration of comprehensive chemical assessments and molecular biology-based approaches. Bringing multiple levels of omics technology-based assessment together into a systems-wide ecosurveillance approach will bring a greater understanding of the environment, particularly the microbial communities upon which we ultimately rely to remediate perturbed ecosystems.

目前的环境监测工作往往集中在已知的、受管制的污染物上,而忽视了未测量化合物和/或环境因素的潜在影响。这些具体的、有针对性的方法缺乏广泛的环境信息和了解,阻碍了有效的环境管理和政策。转向对污染物、生物体健康和环境因素(如营养物质、温度和pH值)进行全面、无目标的监测,将提供更有效的监测,并可能随之提高环境健康水平。然而,即使这种方法也不能捕捉到由慢性毒物暴露引起的生物体的细微生化变化。生态监测是对生态系统健康相关数据的系统收集、分析和解释,可以解决这一知识缺口,并为环境监测项目提供急需的额外证据。因此,它的使用将对环境管理和评价大有裨益。不幸的是,“生态监测”科学,特别是基于组学的生态监测并不为人所知。在这里,我们概述了这一新兴领域,并展示了它如何在一系列系统中得到有益的应用。我们希望这篇综述能够成为一个起点,进一步努力通过综合化学评估和基于分子生物学的方法来改善环境监测。将多个层次的基于组学技术的评估结合到一个全系统的生态监测方法中,将使我们更好地了解环境,特别是我们最终依赖于修复受干扰的生态系统的微生物群落。
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引用次数: 0
Applications of cell- and tissue-specific 'omics to improve plant productivity. 细胞和组织特异性组学在提高植物生产力中的应用
IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-04-15 DOI: 10.1042/ETLS20210286
Bhavna Hurgobin, Mathew G Lewsey

The individual tissues and cell types of plants each have characteristic properties that contribute to the function of the plant as a whole. These are reflected by unique patterns of gene expression, protein and metabolite content, which enable cell-type-specific patterns of growth, development and physiology. Gene regulatory networks act within the cell types to govern the production and activity of these components. For the broader organism to grow and reproduce successfully, cell-type-specific activity must also function within the context of surrounding cell types, which is achieved by coordination of signalling pathways. We can investigate how gene regulatory networks are constructed and function using integrative 'omics technologies. Historically such experiments in plant biological research have been performed at the bulk tissue level, to organ resolution at best. In this review, we describe recent advances in cell- and tissue-specific 'omics technologies that allow investigation at much improved resolution. We discuss the advantages of these approaches for fundamental and translational plant biology, illustrated through the examples of specialised metabolism in medicinal plants and seed germination. We also discuss the challenges that must be overcome for such approaches to be adopted widely by the community.

植物的各个组织和细胞类型都具有有助于植物整体功能的特征特性。基因表达、蛋白质和代谢产物含量的独特模式反映了这一点,从而实现了细胞类型特异性的生长、发育和生理模式。基因调控网络在细胞类型中起作用,控制这些成分的产生和活性。为了使更广泛的生物体成功生长和繁殖,细胞类型特异性活性也必须在周围细胞类型的背景下发挥作用,这是通过信号通路的协调来实现的。我们可以使用综合组学技术来研究基因调控网络是如何构建和发挥作用的。从历史上看,植物生物学研究中的这些实验都是在大块组织水平上进行的,充其量只能达到器官分辨率。在这篇综述中,我们描述了细胞和组织特异性组学技术的最新进展,这些技术使研究的分辨率大大提高。我们讨论了这些方法在基础和转化植物生物学方面的优势,并通过药用植物和种子发芽中的专门代谢实例进行了说明。我们还讨论了必须克服的挑战,以便社会广泛采用这些方法。
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引用次数: 0
Epigenome guided crop improvement: current progress and future opportunities. 表观基因组指导作物改良:当前进展和未来机遇。
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-04-15 DOI: 10.1042/ETLS20210258
Yan Zhang, Haylie Andrews, Judith Eglitis-Sexton, Ian Godwin, Miloš Tanurdžić, Peter A Crisp

Epigenomics encompasses a broad field of study, including the investigation of chromatin states, chromatin modifications and their impact on gene regulation; as well as the phenomena of epigenetic inheritance. The epigenome is a multi-modal layer of information superimposed on DNA sequences, instructing their usage in gene expression. As such, it is an emerging focus of efforts to improve crop performance. Broadly, this might be divided into avenues that leverage chromatin information to better annotate and decode plant genomes, and into complementary strategies that aim to identify and select for heritable epialleles that control crop traits independent of underlying genotype. In this review, we focus on the first approach, which we term 'epigenome guided' improvement. This encompasses the use of chromatin profiles to enhance our understanding of the composition and structure of complex crop genomes. We discuss the current progress and future prospects towards integrating this epigenomic information into crop improvement strategies; in particular for CRISPR/Cas9 gene editing and precision genome engineering. We also highlight some specific opportunities and challenges for grain and horticultural crops.

表观基因组学涵盖了广泛的研究领域,包括染色质状态的研究,染色质修饰及其对基因调控的影响;以及表观遗传现象。表观基因组是叠加在DNA序列上的多模态信息层,指导它们在基因表达中的使用。因此,它是一个新兴的重点努力提高作物性能。从广义上讲,这可能分为利用染色质信息来更好地注释和解码植物基因组的途径,以及旨在识别和选择独立于潜在基因型控制作物性状的可遗传表观等位基因的互补策略。在这篇综述中,我们着重于第一种方法,我们称之为“表观基因组指导”的改进。这包括使用染色质谱来增强我们对复杂作物基因组组成和结构的理解。我们讨论了将这些表观基因组信息整合到作物改良策略中的目前进展和未来展望;特别是在CRISPR/Cas9基因编辑和精确基因组工程方面。我们还强调了粮食和园艺作物面临的一些具体机遇和挑战。
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引用次数: 4
How ‘omics technologies can drive plant engineering, ecosystem surveillance, human and animal health 组学技术如何推动植物工程、生态系统监测、人类和动物健康
IF 3.8 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2022-04-11 DOI: 10.1042/ETLS20220020
Bhavna Hurgobin, Mathew G. Lewsey
‘Omics describes a broad collection of research tools and techniques that enable researchers to collect data about biological systems at a very large, or near-complete, scale. These include sequencing of individual and community genomes (genomics, metagenomics), characterization and quantification of gene expression (transcriptomics), metabolite abundance (metabolomics), protein content (proteomics) and phosphorylation (phospho-proteomics), amongst many others. Though initially exploited as tools for fundamental discovery, ‘omics techniques are now used extensively in applied and translational research, for example in plant and animal breeding, biomarker development and drug discovery. In this collection of reviews, we aimed to introduce readers to current and future applications of ‘omics technologies to solve real-world problems.
“奥密克戎描述了一系列广泛的研究工具和技术,使研究人员能够大规模或接近完整地收集有关生物系统的数据。其中包括个体和群落基因组的测序(基因组学、宏基因组学)、基因表达的表征和量化(转录组学)、代谢产物丰度(代谢组学),蛋白质含量(蛋白质组学)和磷酸化(磷酸蛋白组学)等。尽管最初被用作基础发现的工具,但组学技术现在被广泛用于应用和转化研究,例如植物和动物育种、生物标志物开发和药物发现。在这组评论中,我们旨在向读者介绍“组学技术”在解决现实世界问题方面的当前和未来应用。
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引用次数: 1
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