The M43 domain-containing metalloprotease RcMEP1 in Rhizoctonia cerealis is a pathogenicity factor during the fungus infection to wheat

Wheat(Triticum aestivum L.) is an important staple crop for global human. The necrotrophic fungus Rhizoctonia cerealis is the causal pathogen of sharp eyespot, a devastating disease of wheat. Herein, we identified RcMEP1, a zinc metalloproteaseencoding gene from R. cerealis genomic sequences, and characterized its pathogenesis function. RcMEP1 expressed at markedly-high levels during R. cerealis infection process to wheat. The predicted protein RcMEP1 comprises of 287 amino acid residues and contains a signal peptide and a M43 metalloprotease domain harboring the active site motif(HEVGHWLGLYH). The assays of Agrobacterium tumefaciens-mediated transient expression in Nicotiana benthamiana leaves indicated that RcMEP1 is an apoplastic elicitor of cell death, and that the predicted signal peptide functions and is required for secretion and cell death-induction. The purified RcMEP1 protein and its M43 domain peptide were individually able to induce plant cell death and H2 O2 accumulation, and to inhibit expression of host chitinases when infiltrated into wheat and N. benthamiana leaves, while the M43 domain-deleting peptide and negative control lacked the capacity. Moreover, compared with the control pretreatment, the purified RcMEP1 protein or its M43-domain peptide resulted in enhanced pathogenesis in the inoculated wheat, whereas the M43 domain-deleting peptide failed. These results suggest that RcMEP1 acted as an important pathogenicity factor during R. cerealis infection to wheat and that its signal peptide and M43 domain are required for the secretion and pathogenesis of RcMEP1. This study provides insights into pathogenesis role of M43 domain-containing metalloproteases during R. cerealis infection to wheat.     

基于NB-IoT架构的分布式配电自动化系统

文章主要介绍了基于NB-IoT物联网模块的智能分布式配电自动化系统的系统构建原理概述,其中对智能分布式配电自动化系统与NB-IoT物联网模块的系统应用和分布式软件边缘计算进行了详细阐述和说明。     

Effect of dietary calcium or phosphorus deficiency on bone development and related calcium or phosphorus metabolic utilization parameters of broilers from 22 to 42 days of age

This experiment was conducted to investigate the effect of dietary calcium (Ca) or phosphorus (P) deficiency on bone development and related Ca or P metabolic utilization parameters of broilers from 22 to 42 days of age based on our previous study, which indicated that dietary Ca or P deficiency impaired the bone development by regulating related Ca or P metabolic utilization parameters of broilers from 1 to 21 days of age. A total of 504 one-day-old Arbor Acres male broilers were randomly assigned to 1 of 4 treatments with 7 replicates in a completely randomized design, and fed the normal control and Ca- or P-deficient diets from 1 to 21 days of age. At 22 days of age, the broilers were further fed the normal control diet (0.90% Ca+0.35% non-phytate P (NPP)), the P-deficient diet (0.90% Ca+0.18% NPP), the Ca-deficient diet (0.30% Ca+0.35% NPP) or the Ca and P-deficient diet (0.30% Ca+0.18% NPP), respectively. The results showed that dietary Ca or P deficiency decreased (P<0.05) tibia bone mineral density (BMD), bone breaking strength (BBS), ash content, tibia ash Ca content and serum P content on days 28 and 42, but increased (P<0.05) tibia alkaline phosphatase (ALP) activity of broilers on day 42 compared with the control group. Furthermore, the broilers fed the P-deficient diet had the lowest (P<0.05) tibia BMD, BBS, ash content, serum P content and the highest (P<0.05) serum Ca content on day 28 compared with those fed the Ca-deficient or Ca and P-deficient diets. The results from the present study indicated that the bone development and related Ca or P metabolic utilization parameters of broilers were the most sensitive to dietary P deficiency, followed by dietary Ca deficiency or Ca and P-deficiency; dietary Ca or P deficiency impaired the bone development possibly by regulating serum Ca and P contents as well as tibia Ca content and ALP activity of broilers from 22 to 42 days of age.     

文心兰高效再生体系的建立

[目的]建立文心兰高效再生体系,为利用转基因技术进行品种改良提供科学依据.[方法]以文心兰柠檬绿的无菌苗叶片为材料,探讨不同植物生长调节剂配比对其原球茎诱导的影响,开展增殖、生根及移栽研究,建立其高效稳定的再生体系.[结果]影响文心兰原球茎诱导的3种植物生长调节剂主次排序为萘乙酸(NAA)>噻苯隆(TDZ)>6-苄氨基嘌呤(6-BA),在1/2MS培养基中添加0.5 mg/L NAA、0.5 mg/L 6-BA和0.3 mg/L TDZ的诱导率最高,达48.0%.培养基中活性炭含量及碳水化合物种类对文心兰原球茎增殖的影响存在明显差异,不同活性炭含量处理间的原球茎增殖系数存在显著差异(P<0.05,下同),添加1.0 g/L活性炭较添加0.5 g/L活性炭的增殖系数显著升高,不同碳水化合物种类间的原球茎增殖系数排序为海藻糖>麦芽糖>蔗糖,最佳增殖和分化培养基为1/2MS+4.0 mg/L 6-BA+0.4 mg/L NAA+1.0 g/L活性炭+20 g/L海藻糖.添加10%椰子水的文心兰幼苗生根数显著高于添加10%香蕉汁和10%苹果汁,每株平均生根量接近4.00条,即生根效果最佳的培养基为1/2MS+0.8 mg/L 6-BA+0.2 mg/L NAA+10%椰子水.移栽过程中根部用水苔包裹后再移至椰糠中,保证光照、水分适宜,适当添加缓释肥,移栽成活率可达100%.[结论]利用海藻糖或麦芽糖作为碳源的文心兰原球茎增殖效果较优,生根数和生根质量优势明显;不同植物生长调节剂配比、碳源和有机物的添加对文心兰组织培养具有明显的促进效果.     

云南省牛流行性出血病血清学调查

为了解牛流行性出血病(epidemic hemorrhagic disease,EHD)在云南省的流行和分布情况,采用竞争ELISA方法,2019年对11个县市的1 199份牛血清进行流行性出血病病毒(epidemic hemorrhagic disease virus,EHDV)抗体检测,同时从各县市检测出的阳性血清中,随机选取18～50份通过微量血清中和试验进行血清型鉴定。结果显示:云南省11个县市均检测出EHDV抗体阳性样品,阳性率介于49.3%～91.3%,平均为81.8%;各地普遍存在3个及以上血清型,其中EHDV-7、-10、-6、-5血清型检出率较高,EHDV-8、-2血清型检出率较低,未检出EHDV-1型。结果表明,EHD在云南省流行广泛且较严重,流行血清型复杂。结果提示,需持续开展EHDV血清学监测,重视对该病的防控。此次血清学调查为我国西南地区EHD防控提供了数据参考。     

畜牧养殖污染现状及综合治理对策

畜牧养殖业污染问题是畜牧养殖生产过程中的常见问题,对于养殖业也有一定的影响,直接影响畜牧产品质量及动物疫病防治工作。该文针对畜牧养殖业污染现状进行分析研究,阐述畜牧养殖污染问题现状,并综合新疆地区的畜牧养殖业发展状态,提出畜牧养殖污染问题综合治理的有效对策。     

纵条纹炭角菌的研究进展

纵条纹炭角菌具有镇静、催眠等药用价值,已实现工厂化、规模化栽培。为探究纵条纹炭角菌的研究进展,对其分类学地位、生物学特性、人工培养、化学成分和生理活性等方面的文献进行综述,并提出未来研究的方向和应用前景。     

大豆PHD家族蛋白的全基因组鉴定及表达特征分析

PHD（Plant Homeodomain Finger）基因家族编码一类锌指转录因子,广泛参与植物的生长发育和逆境应答过程。通过全基因组鉴定获得了95个大豆PHD家族蛋白。通过共线性分析、进化树构建、基因结构和功能结构域鉴定、GO注释分析、不同组织间和非生物胁迫下表达分析等,获得了大豆PHD家族基因复制、家族进化、保守结构域及基因表达等信息。结果表明,大豆PHD基因在家族进化、基因结构和保守结构域上存在较大变异,可能参与Zn ²⁺结合、DNA结合及表观遗传调控等分子过程,参与调控植物生长发育和逆境应答。这些结果为进一步研究大豆PHD家族在生长发育和逆境应答中的生物学功能提供重要线索。     

基于部首嵌入和注意力机制的病虫害命名实体识别

为了解决农业病虫害命名实体识别过程中存在的内在语义信息缺失、局部上下文特征易被忽略和捕获长距离依赖能力不足等问题，以农业病虫害文本为研究对象，提出一种基于部首嵌入和注意力机制的农业病虫害命名实体识别模型(Chinese agricultural diseases and pests named entity recognition with joint radical embedding and self attention, RS-ADP)。首先，该模型将部首嵌入集成到字符嵌入中作为输入，用以丰富语义信息。其中，针对部首嵌入设计了3种特征提取策略，即卷积神经网络(Convolutional neural network, CNN)、双向长短时记忆网络(Bidirectional long short term memory network, BiLSTM) 和CNN-BiLSTM；其次，采用多层不同窗口尺寸的CNNs层提取不同尺度的局部上下文信息；然后，在BiLSTM提取全局序列特征的基础上，采用自注意力机制进一步增强模型提取更长距离依赖的能力；最后，采用条件随机场(Conditional random field, CRF)联合识别实体边界和划分实体类别。在包含11个类别和24715条标注样本的农业病虫害自制语料上进行了实验。结果表明，本文模型RS-ADP在该数据集上精确率、召回率和F1值分别为94.16%、94.47%和94.32%；在具体实体类别上，RS-ADP在作物、病害、虫害等易识别实体上F1值高达95.81%、97.76%和97.23%。同时，RS-ADP在草害、病原等难以识别实体上F1值仍保持86%以上。实验结果表明，本文所提模型能够有效识别农业病虫害命名实体，其识别精度优于其他模型，且具有一定的泛化性。