Ataxin-2 is a 140 kDa cytoplasmic multifunctional protein that plays fundamental roles in diverse cellular mechanisms(Costa et al.,2024).Although widely studied in the context of the neurodegenerative diseases spinoce...Ataxin-2 is a 140 kDa cytoplasmic multifunctional protein that plays fundamental roles in diverse cellular mechanisms(Costa et al.,2024).Although widely studied in the context of the neurodegenerative diseases spinocerebellar ataxia type 2(SCA2)and amyotrophic lateral sclerosis(ALS),ataxin-2 functions span far beyond its pathogenic properties in the disease context(Figure 1).In fact,it has a wide range of biological functions that include RNA metabolism,translation regulation,stress response,endocytosis,calcium signaling,and the control of circadian rhythm.In this perspective,we highlight the main roles of ataxin-2 protein,which are described in detail in Costa et al.(2024).展开更多
Soil water management plays an important role in the response of kiwi plants （Actinidia deliciosa A. Chev.）. In GuimarSes district soil moisture content is monitored in kiwifi＇uit orchard as a routine parameter. Dr...Soil water management plays an important role in the response of kiwi plants （Actinidia deliciosa A. Chev.）. In GuimarSes district soil moisture content is monitored in kiwifi＇uit orchard as a routine parameter. Drip irrigation system is the method used. This crop tends to have high water requirements and extends over a wide area in Portugal, requiring innovative solutions to achieve better benefits. A method that correlates soil and crop conditions with the parameters of remote sensing was established in this study. To assess the level of accuracy of soil moisture measurements from satellites, it is important to compare satellite image with ground real data （namely the frequency domain reflectometry （FDR）, Diviner 2000）. The combination of multispectral satellite images produces an image representative of vegetation vigour, density and health. In this study, Landsat satellite images （2011 and 2013） are used and vegetation indexes are calculated for different periods of time, using the software Idrisi Taiga. The information of vegetation indexes is crossed with data of soil moisture, in situ, to establish a correlation between both of them. Thus, it allows to improve the soil water content monitoring, in particular for the soil water balance optimization and its effect on kiwi biornass production.展开更多
基金Cure CSB ProjectViljem Julijan Association for Children with Rare Diseases(Slovenia)+1 种基金Algarve Biomedical Center Research Institute(ABC-Ri)AC received a PhD fellowship from the Portuguese Science and Technology Foundation(FCT)#2020.07892.BD.
文摘Ataxin-2 is a 140 kDa cytoplasmic multifunctional protein that plays fundamental roles in diverse cellular mechanisms(Costa et al.,2024).Although widely studied in the context of the neurodegenerative diseases spinocerebellar ataxia type 2(SCA2)and amyotrophic lateral sclerosis(ALS),ataxin-2 functions span far beyond its pathogenic properties in the disease context(Figure 1).In fact,it has a wide range of biological functions that include RNA metabolism,translation regulation,stress response,endocytosis,calcium signaling,and the control of circadian rhythm.In this perspective,we highlight the main roles of ataxin-2 protein,which are described in detail in Costa et al.(2024).
文摘Soil water management plays an important role in the response of kiwi plants （Actinidia deliciosa A. Chev.）. In GuimarSes district soil moisture content is monitored in kiwifi＇uit orchard as a routine parameter. Drip irrigation system is the method used. This crop tends to have high water requirements and extends over a wide area in Portugal, requiring innovative solutions to achieve better benefits. A method that correlates soil and crop conditions with the parameters of remote sensing was established in this study. To assess the level of accuracy of soil moisture measurements from satellites, it is important to compare satellite image with ground real data （namely the frequency domain reflectometry （FDR）, Diviner 2000）. The combination of multispectral satellite images produces an image representative of vegetation vigour, density and health. In this study, Landsat satellite images （2011 and 2013） are used and vegetation indexes are calculated for different periods of time, using the software Idrisi Taiga. The information of vegetation indexes is crossed with data of soil moisture, in situ, to establish a correlation between both of them. Thus, it allows to improve the soil water content monitoring, in particular for the soil water balance optimization and its effect on kiwi biornass production.
