A Novel Gelatinase from Marine Flocculibacter collagenilyticus SM1988: Characterization and Potential Application in Collagen Oligopeptide-Rich Hydrolysate Preparation

Although the S8 family in the MEROPS database contains many peptidases, only a few S8 peptidases have been applied in the preparation of bioactive oligopeptides. Bovine bone collagen is a good source for preparing collagen oligopeptides, but has been so far rarely applied in collagen peptide preparation. Here, we characterized a novel S8 gelatinase, Aa2_1884, from marine bacterium Flocculibacter collagenilyticus SM1988^T, and evaluated its potential application in the preparation of collagen oligopeptides from bovine bone collagen. Aa2_1884 is a multimodular S8 peptidase with a distinct domain architecture from other reported peptidases. The recombinant Aa2_1884 over-expressed in Escherichia coli showed high activity toward gelatin and denatured collagens, but no activity toward natural collagens, indicating that Aa2_1884 is a gelatinase. To evaluate the potential of Aa2_1884 in the preparation of collagen oligopeptides from bovine bone collagen, three enzymatic hydrolysis parameters, hydrolysis temperature, hydrolysis time and enzyme-substrate ratio (E/S), were optimized by single factor experiments, and the optimal hydrolysis conditions were determined to be reaction at 60 ℃ for 3 h with an E/S of 400 U/g. Under these conditions, the hydrolysis efficiency of bovine bone collagen by Aa2_1884 reached 95.3%. The resultant hydrolysate contained 97.8% peptides, in which peptides with a molecular weight lower than 1000 Da and 500 Da accounted for 55.1% and 39.5%, respectively, indicating that the hydrolysate was rich in oligopeptides. These results indicate that Aa2_1884 likely has a promising potential application in the preparation of collagen oligopeptide-rich hydrolysate from bovine bone collagen, which may provide a feasible way for the high-value utilization of bovine bone collagen.     

水稻不育系培矮64S的空间诱变效应及后代的SSR分析

对经过卫星搭载的培矮64S种子及后代进行了有关性状研究和SSR标记分析,结果表明:培矮64S空间诱变后代SP1代发芽率、存苗率、株高、抽穗期、株叶型的性状与对照相比没有明显变化;但SP2代在株高、粒型和育性等性状上发生了变异;从SP3代中获得柱头比培矮64S明显增大的变异株系,这对于改良培矮64S的异交结实率和提高制种产量具有重要意义。此外,对10个SP3变异株进行SSR分析结果表明,扩增片段数目变化约占55.21%,扩增片段分子量变化约占44.79%,空间诱变引起的变异可能是以DNA缺失-重复为主。SSR座位的变异频率平均为23.33%,变异座位在水稻基因组中是随机分布的。     

无籽刺梨染色体数目观察

以无籽刺梨组培苗根尖为材料,探讨其染色体制片技术。结果表明,无籽刺梨根尖在常温下用0.003mol/L8-羟基喹啉溶液预处理6-8h或0.004mol/L8-羟基喹啉溶液预处理4-6h后,在预冷的卡诺固定液（冰醋酸：无水乙醇=3:1中）0℃下处理15min,经95%乙醇:15% Hcl=1:1的解离液处理5min或无水乙醇:36-38% Hcl=1:1处理6min,然后用卡宝品红染色15或20min,其镜检效果较佳;无籽刺梨的染色体数目为2n=2x=14。无籽刺梨染色体制片技术研究及其染色体数目的确定对其遗传改良工作有着重要的意义。     

植原体引起雪花木小叶病在中国的首次报道

2022年首次在广州市发现园林植物雪花木小叶病病株, 采用分子生物学技术对其进行植原体的种类鉴定。以雪花木叶片总DNA为模板, 利用植原体16S rRNA通用引物P1/P7进行PCR扩增, 获得广东雪花木小叶病植原体(BLL-GD2022)16S rRNA基因片段(1 811 bp, GenBank登录号为OQ625536)。16S rRNA序列相似性显示, BLL-GD2022与16SrVI组植原体株系的相似性最高, 为97.05%~99.83%, 其中与隶属于16SrVI-D亚组的10个植原体株系相似性为99.21%~99.83%。系统进化分析显示, BLL-GD2022与16SrVI组各植原体株系聚类在一个大分支, 其中与16SrVI-D亚组成员聚类在一个小分支, 亲缘关系最近。基于16S rRNA序列的iPhyClassifier限制性内切酶虚拟RFLP分析表明, BLL-GD2022与16SrVI-D亚组的参考株系Brinjal little leaf phytoplasma (GenBank登录号为X83431)的酶切图谱一致, 相似系数为1.00。基于上述研究结果, 明确广州市雪花木小叶病植原体隶属16SrVI-D亚组成员。本研究首次在园林植物雪花木上检测到植原体, 通过16S rRNA序列分析明确为16SrVI-D亚组成员, 为开展16SrVI-D亚组植原体在蔬菜、花卉和园林植物的发生监测及病害防控提供科学依据。     

China's alfalfa market and imports: Development,trends, and potential impacts of the U.S.–China trade dispute and retaliations

This study examines the development and trends of China's alfalfa market and imports, identifies key factors for the rapid increase in China's alfalfa imports, and discusses potential impacts of the U.S.–China trade dispute and retaliations on the alfalfa markets and trade in both nations. China's rapid transition toward larger-scale commercial dairy production, with enhanced feed and cost management as well as quality and safety control, and its limited resources for high-quality alfalfa production are key factors for the dramatic increase in its alfalfa imports, from 19 601 metric tons in 2008 to 1.38 million metric tons (mmt) in 2018. While the United States dominated China's alfalfa imports with an average share of 97.01% from 2007 to 2017, the share dropped to 83.76% in 2018 and 63.28% in January 2019 due to the trade dispute and retaliations started in 2018. China will likely remain a large importer of alfalfa because of both its growing demand and the comparative advantages of imported alfalfa in quality and price, but the imports from the United States will be highly affected by the ongoing trade dispute and negotiations. China is also expected to make more efforts to reduce its dependence on U.S. alfalfa through increased investment in domestic alfalfa production and identification of alternative sources of alfalfa and other hay imports.     

核桃新品种‘鲁绵1号’

‘鲁绵1号’核桃是从‘鸡爪绵’核桃实生群体中选育出的高油抗病新品种。坚果圆形,单果质量15.0 ~ 17.3 g,易取整仁,出仁率46.2%;脂肪含量70.5% ~ 72.0%,蛋白质含量18.8% ~ 20.3%。丰产,抗病。在济南市南部山区8月下旬果实成熟,10年生树平均株产4.9 kg,折合3 013.5 kg • hm-2。     

四种短体线虫的形态和分子生物学鉴定

 采用形态学和分子生物学方法对来自荷兰的藏橐吾和铃兰、泰国的高山榕、缅甸的香蕉等种苗(球)分别鉴定出玻利维亚短体线虫Pratylenchus bolivianus、铃兰短体线虫P. convallariae、咖啡短体线虫P. coffeae和斯佩奇短体线虫 P. speijeri。对这4种线虫的形态特征进行较为详细的描述后,认为头环、口针、侧区、生殖系统和尾形等形态特征是种类鉴定的重要依据;进一步利用引物28S-D2A/28S-D3Br扩增测序得到上述4种线虫的28S rRNA基因D2/D3区序列,序列分析发现玻利维亚短体线虫从欧洲到美洲的不同种群之间的遗传距离变异较小,仅为0~0.007;铃兰短体线虫同一种群不同个体之间的遗传变异较大,为0.006~0.029;咖啡短体线虫不同种群之间的平均遗传距离为0.013;斯佩奇短体线虫不同种群之间的平均遗传距离为0.010;咖啡短体线虫P. coffeae和斯佩奇短体线虫P. speijeri亲缘关系很近,二者种间平均遗传距离仅为0.026。本研究再次证明线虫28S rRNA基因D2/D3区基因序列可作为短体线虫种间鉴定的依据。     

利用广亲和基因S5-n的功能标记鉴定特殊配组类型杂交种纯度研究

“粳不育系/广亲和恢复系”配组方式在浙江省得到了越来越多的应用。广亲和基因S5-n的功能标记可快速检测种子纯度。为验证水稻广亲和基因S5-n功能标记鉴定粳不育系/广亲和恢复系配组方式杂种一代的效果,我们分别将长粳1A和6个恢复系获得的F₁代进行大田统计和分子标记鉴定,结果显示,由于广亲和基因S5-n分子标记不能特异性检测出串粉形成的异形株,导致其鉴定结果较大田统计鉴定结果高1.0~2.0百分点。未来还需要进一步优化广亲和基因分子标记技术的特异性,进而提高分子检测的准确性,这将有助于杂交稻的安全生产。     

不同灌水下限设施番茄土壤CO2排放特征及其影响因素研究

【目的】探讨不同灌水下限设施土壤CO2排放特征及其影响因素,为调控设施土壤水分和碳排放提供理论依据。【方法】在番茄生育期内采用LI-8100A土壤碳通量自动测定仪观测不同灌水下限[20 kPa(D20)、30 kPa(D30)、40 kPa(D40)]下的土壤CO2排放速率,并分析其影响因素。【结果】在番茄生育期内,不同灌水下限设施土壤CO2排放速率变化趋势基本一致,D20处理最高,平均速率为2.759μmol/(m2·s),其次是D30处理,为2.601μmol/(m2·s),D40处理最低,为2.559μmol/(m2·s)。在土壤CO2累积排放量方面,D20处理显著高于其他2个处理,而D30和D40处理之间无显著差异。就单因素模型而言,不同灌水下限处理的土壤CO2排放速率与15 cm土壤温度呈指数回归关系,且均达显著水平(P<0.05);不同灌水下限处理的土壤CO2排放速率与15 cm土壤含水率均呈显著二次回归关系(P<0.05);与单因素模型相比,土壤温度和土壤含水率的双因素复合模型(68.5%~83.8%)可以更好地解释土壤CO2排放的变化。土壤温度敏感系数Q10值在1.442~1.498之间,其中D20处理最敏感,D40处理最不敏感。相关分析结果表明,土壤CO2累积排放量与0~20 cm土层土壤有机质量、pH值、全氮量、速效磷量、速效钾量、碱解氮量和微生物量碳呈显著相关关系。采用PCA分析提取出的2个主成分累积贡献率为85.79%。【结论】灌水下限影响设施土壤CO2的排放,其中D20处理促进了设施土壤CO2的排放。