Geometric Morphology and Population Genomics Provide Insights into the Adaptive Evolution of Apis Cerana in Changbai Mountain

Liu, Nannan; Liu, Huamiao; Jiang, Yan; Li, Xingan; Li, Yang; Wang, Tianjiao; He, Jianzhong; Niu, Qingsheng; Xiumei, Xing

doi:10.21203/rs.3.rs-590369/v1

Cited by 2 publications

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References 44 publications

(51 reference statements)

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“…Population genetics can now move beyond the characterisation of broad genetic patterns to uncover evolutionary important genetic variants at a resolution previously inaccessible to non-model organism studies (Hendricks et al, 2018;Hohenlohe et al, 2019Hohenlohe et al, , 2021. Examining genetic patterns across, for example, environmental (e.g., Gugger et al, 2017) or morphological (e.g., Nannan et al, 2022) landscapes, enables us to develop hypothesis regarding the drivers of a population or species' genetics.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary genomics: Insights from the invasive European starlings

et al. 2023

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Two fundamental questions for evolutionary studies are the speed at which evolution occurs, and the way that this evolution may present itself within an organism’s genome. Evolutionary studies on invasive populations are poised to tackle some of these pressing questions, including understanding the mechanisms behind rapid adaptation, and how it facilitates population persistence within a novel environment. Investigation of these questions are assisted through recent developments in experimental, sequencing, and analytical protocols; in particular, the growing accessibility of next generation sequencing has enabled a broader range of taxa to be characterised. In this perspective, we discuss recent genetic findings within the invasive European starlings in Australia, and outline some critical next steps within this research system. Further, we use discoveries within this study system to guide discussion of pressing future research directions more generally within the fields of population and evolutionary genetics, including the use of historic specimens, phenotypic data, non-SNP genetic variants (e.g., structural variants), and pan-genomes. In particular, we emphasise the need for exploratory genomics studies across a range of invasive taxa so we can begin understanding broad mechanisms that underpin rapid adaptation in these systems. Understanding how genetic diversity arises and is maintained in a population, and how this contributes to adaptability, requires a deep understanding of how evolution functions at the molecular level, and is of fundamental importance for the future studies and preservation of biodiversity across the globe.

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Section: Introductionmentioning

confidence: 99%

Evolutionary genomics: Insights from the invasive European starlings

et al. 2023

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“…Consequently, the economic and environmental value of snow resources can be protected to the maximum extent possible. An increasing number of teams have already conducted studies on ecological changes in the Changbai Mountain, but these have been limited to changes in greenhouse gases, vegetation cover or biodiversity [4][5][6]. One of these studies analyzed the relationship between the treeline pattern and topography based on high spatial resolution remote sensing data and a digital elevation model and associated the result with snow coverage [7].…”

Section: Introductionmentioning

confidence: 99%

Changes in snowpack of the Changbai Mountain region over the last decade in reaction to global warming

Leng

2023

E3S Web Conf.

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As greenhouse gas emissions have been mounting in recent years, the issue of global warming has become more and more serious, sparking a great deal of concern. Among the effects of global warming, the melting of snowpack is particularly pronounced. However, most of the current researches focus on vegetation and biodiversity, and there are some gaps in studies of snow in the mountainous regions of China. This paper analyzes the Landsat8 satellite images of Changbai Mountain area in the past 10 years through QGIS and programming algorithms to study the trend of snowpack change, the correlation between snow melting and vegetation change and causes of snow melting. The analytical methods used in this paper include NDSI, NDVI, supervised classification and image binarization. From 2014 to 2023, the snow-covered areas in Changbai Nature Reserve have decreased dramatically, especially in northwestern part, middle part and edges of Changbai Mountain. The change rate of snowpack has reached a significant 13.979%. The vegetation area shows an increasing trend and is negatively correlated with snowpack change. In order to alleviate the challenge of snow melting, ecological engineering, new energy sources and rigorous regulation of human activities are all essentially necessary. In the future, it is expected that the research in this paper will have a profound positive impact on the ecological management of the Changbai Mountain region, the conservation of snow resources and the mitigation of global warming.

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Geometric Morphology and Population Genomics Provide Insights into the Adaptive Evolution of Apis Cerana in Changbai Mountain

Cited by 2 publications

References 44 publications

Evolutionary genomics: Insights from the invasive European starlings

Evolutionary genomics: Insights from the invasive European starlings

Changes in snowpack of the Changbai Mountain region over the last decade in reaction to global warming

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