植物运输抑制响应蛋白1(transport inhibitor protein 1,TIR1)是一种生长素受体,在生长素信号转导过程中发挥重要作用。目前有关马铃薯生长素受体基因的研究尚未见报道。本研究是从前期工作中获得EST序列,利用NCBI中的BLAST工具,对原始...植物运输抑制响应蛋白1(transport inhibitor protein 1,TIR1)是一种生长素受体,在生长素信号转导过程中发挥重要作用。目前有关马铃薯生长素受体基因的研究尚未见报道。本研究是从前期工作中获得EST序列,利用NCBI中的BLAST工具,对原始序列进行同源性分析,选择与原始序列相似度最高的一条同源序列。通过电子克隆技术,得到TIR1基因。采用生物信息学方法对基因序列、编码氨基酸、理化性质、跨膜结构域、亲/疏水性、信号肽、磷酸化位点、N-端糖基化位点、高级结构等进行分析。结果表明,TIR1基因cDNA全长1740 bp,编码580个氨基酸,分子量64.68 kD,理论等电点5.60,亲水性系数0.034,不稳定系数56.67,为不稳定酸性疏水性蛋白,编码蛋白含有59个磷酸化位点,4个N-端糖基化位点,无信号肽、跨膜区域,高级结构主要由α螺旋和无规卷曲序列组成。通过系统进化分析,TIR1蛋白与烟草、番茄和拟南芥等植物中的TIR1蛋白同源性较高。亚细胞定位分析,TIR1基因主要位于细胞核,小部分可能位于线粒体。研究结果为马铃薯TIR1基因的试验克隆及功能验证研究提供了理论依据。展开更多
This study was conducted to devise an integrated methodology for retrieval of surface soilmoisture(SSM)using Landsat 8 TIRS data.For this purpose,Landsat 8 images of 15 May 2021(pre-monsoon)and 20 November 2021(post-m...This study was conducted to devise an integrated methodology for retrieval of surface soilmoisture(SSM)using Landsat 8 TIRS data.For this purpose,Landsat 8 images of 15 May 2021(pre-monsoon)and 20 November 2021(post-monsoon)were processed for retrieval of soil moisture index(SMI)based on land surface temperature(LST).Moreover,field-based SM in the laboratory was also determined and correlated with satellite-based SMI.A moderate correlation between field-based SM and satellite-based SMI with R2=0.60 was obtained.Based on this relationship,SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons of 2021 were developed.Significant variations in the spatial distribution of SSM of Tehsil Faisalabad Saddar(total area of 1492.45 km^(2))for pre-and postmonsoon seasons were observed.In the pre-monsoon season,68.1% of the area of Faisalabad Saddar showed SSM contents ranging from 10.37%to 15.40%.Only 8.7%of the total area of Faisalabad Saddar exhibited SSM in the range of 15.41%-22.82%in the pre-monsoon season.It was astonishing to notice that no area in Faisalabad Saddar was detected with SSMabove 22.82% in the pre-monsoon season.However,in the post-monsoon season,only 0.11%of the total study area exhibited SSM in the range of 0.0%to 26.97%.The maximum area(52.29%of the total area)in post-monsoon season exhibited SSMranging from 36.18%to 40.02%,followed by 32.02%-36.17%(34.3% of the total area).The study concluded that satellite-based retrieval of surface soil moisture realistically monitored the variations in soil moisture due to the onset of the monsoon season.The novel methodology developed in this study could be helpful for policy making regarding groundwater recharge and its sustainable use in an area,as well as for estimating surface soilmoisture to provide irrigation scheduling and crop management guidelines.展开更多
文摘This study was conducted to devise an integrated methodology for retrieval of surface soilmoisture(SSM)using Landsat 8 TIRS data.For this purpose,Landsat 8 images of 15 May 2021(pre-monsoon)and 20 November 2021(post-monsoon)were processed for retrieval of soil moisture index(SMI)based on land surface temperature(LST).Moreover,field-based SM in the laboratory was also determined and correlated with satellite-based SMI.A moderate correlation between field-based SM and satellite-based SMI with R2=0.60 was obtained.Based on this relationship,SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons of 2021 were developed.Significant variations in the spatial distribution of SSM of Tehsil Faisalabad Saddar(total area of 1492.45 km^(2))for pre-and postmonsoon seasons were observed.In the pre-monsoon season,68.1% of the area of Faisalabad Saddar showed SSM contents ranging from 10.37%to 15.40%.Only 8.7%of the total area of Faisalabad Saddar exhibited SSM in the range of 15.41%-22.82%in the pre-monsoon season.It was astonishing to notice that no area in Faisalabad Saddar was detected with SSMabove 22.82% in the pre-monsoon season.However,in the post-monsoon season,only 0.11%of the total study area exhibited SSM in the range of 0.0%to 26.97%.The maximum area(52.29%of the total area)in post-monsoon season exhibited SSMranging from 36.18%to 40.02%,followed by 32.02%-36.17%(34.3% of the total area).The study concluded that satellite-based retrieval of surface soil moisture realistically monitored the variations in soil moisture due to the onset of the monsoon season.The novel methodology developed in this study could be helpful for policy making regarding groundwater recharge and its sustainable use in an area,as well as for estimating surface soilmoisture to provide irrigation scheduling and crop management guidelines.
