植物学报（2022）
Abstract
植物病毒病是制约农作物安全生产的重要因素,病毒检测能够发现病毒并确定病毒的种类,是病害监测预警和防控的关键.该研究以马铃薯Y病毒(PVY)为检测对象,建立了基于RPA-CRISPR/Cas12a的检测体系.结果表明,(1)CRISPR/Cas12a检测体系内Cas12a及各组分为检测顺利进行所必要;(2)crRNA的靶点位置对Cas12a蛋白活性有较大影响,当crRNA的靶点包含部分PAM位点序列时,反应效率最高;(3)RPA-CRISPR/Cas12a检测模板的最低限度为3×102 copies·μL-1,灵敏度高于PCR及qPCR检测法;(4)RPA-CRISPR/Cas12a检测体系与核酸粗提及逆转录反应联合,可在非实验室环境下进行PVY检测,整个过程耗时约60分钟.该研究建立了基于RPA-CRISPR/Cas12a的PVY检测技术体系,为在非实验室条件下实时快速检测植物病毒提供了一种有效方法.
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Pretraining has recently greatly promoted the development of natural language processing (NLP)We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performanceWe propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generationThe model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in ChineseExperimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performanceUpload PDF to Generate Summary
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