为明确腰果角盲蝽Helopeltis theivora气味结合蛋白3(odorant binding protein 3,OBP3)功能及其嗅觉感受机制,利用PCR技术结合c DNA末端快速扩增(rapid amplification of c DNA ends,RACE)技术克隆其cDNA全长序列,利用多个生物信息学软...为明确腰果角盲蝽Helopeltis theivora气味结合蛋白3(odorant binding protein 3,OBP3)功能及其嗅觉感受机制,利用PCR技术结合c DNA末端快速扩增(rapid amplification of c DNA ends,RACE)技术克隆其cDNA全长序列,利用多个生物信息学软件对其进行序列分析,并通过实时荧光定量PCR(real-time quantitative PCR,qPCR)技术检测其在腰果角盲蝽成虫不同组织中的表达量。结果显示,腰果角盲蝽HtheOBP3基因(GenBank登录号为QHI06949)开放阅读框为474 bp,编码157个氨基酸残基,预测蛋白分子量约为17.15 kD,等电点为5.14,无信号肽和跨膜结构,蛋白氨基酸序列中具有6个保守半胱氨酸残基和性信息素结合蛋白-普通气味结合蛋白(pheromone binding protein-general odorant binding protein,PBP-GOBP)家族的保守结构域。HtheOBP3蛋白具有6个α-螺旋和3对二硫键,其中5个α-螺旋形成1个结合口袋。腰果角盲蝽HtheOBP3与其他20种半翅目昆虫OBP的6个保守半胱氨酸位点完全一致,腰果角盲蝽HtheOBP3的氨基酸序列与薇甘菊颈盲蝽Pachypeltis micranthus PmicOBP4的氨基酸序列一致性最高,为55.56%。在37种不同昆虫的OBP蛋白中,腰果角盲蝽HtheOBP3与6种半翅目昆虫OBP聚为一个分支,其中与薇甘菊颈盲蝽PmicOBP4亲缘关系最近。腰果角盲蝽成虫各组织中HtheOBP3均有表达,其中在触角中表达量最高,其次为足。表明腰果角盲蝽HtheOBP3是典型的气味结合蛋白,其可能兼具嗅觉和非嗅觉感受等生理功能。展开更多
Many kinds of uncertainties are involved, such as random, fuzzy, grey, unascertained property and so on, in soil erosion process. To exactly predict the non-point source pollution loads, some uncertainties should be t...Many kinds of uncertainties are involved, such as random, fuzzy, grey, unascertained property and so on, in soil erosion process. To exactly predict the non-point source pollution loads, some uncertainties should be taken into consideration. Aiming at the deficiency of present blind number theory being helpless for fuzziness, a novel blind number, i.e. extended-blind number, was introduced by substituting a set of triangular fuzzy numbers （TFNs）, expressed as a-cuts, for interval values in present blind number, and the expected value of extended-blind number was also brought forward by referring to the current blind number theory. On the basis of denoting the parameters of Uni- versal Soil Loss Equation （USLE） as extended-blind parameters, a novel USLE model was established for quantitatively evaluating soil erosion loss and non-point source pollution loads. As a case, the uncertain USLE was employed for predicting the soil erosion loss and non-point source pollution loads of absorbed nitrogen and phosphorus in a dis- trict in the Hangbu-Fengle River basin, in the upstream of Chaohu Lake watershed. The results show that it is feasible in theory to extend blind number into fuzzy environment and reliable on conclusion to apply extended-blind number theory for predicting non-point source pollution loads.展开更多
基金Under the auspices of Tackling Key Program for Science and Technology of Anhui Province (No. 07010302165)Natural Science Foundation of Anhui Province (No. 050450303)
文摘Many kinds of uncertainties are involved, such as random, fuzzy, grey, unascertained property and so on, in soil erosion process. To exactly predict the non-point source pollution loads, some uncertainties should be taken into consideration. Aiming at the deficiency of present blind number theory being helpless for fuzziness, a novel blind number, i.e. extended-blind number, was introduced by substituting a set of triangular fuzzy numbers （TFNs）, expressed as a-cuts, for interval values in present blind number, and the expected value of extended-blind number was also brought forward by referring to the current blind number theory. On the basis of denoting the parameters of Uni- versal Soil Loss Equation （USLE） as extended-blind parameters, a novel USLE model was established for quantitatively evaluating soil erosion loss and non-point source pollution loads. As a case, the uncertain USLE was employed for predicting the soil erosion loss and non-point source pollution loads of absorbed nitrogen and phosphorus in a dis- trict in the Hangbu-Fengle River basin, in the upstream of Chaohu Lake watershed. The results show that it is feasible in theory to extend blind number into fuzzy environment and reliable on conclusion to apply extended-blind number theory for predicting non-point source pollution loads.
