适用于转录组测序的大白菜小孢子总RNA提取方法筛选

为了找到适用于转录组测序要求的大白菜小孢子总RNA 提取方法，以出胚率较高的吉红82 为试材，以热激诱导处理后的小孢子为研究对象，比较分析了TRIzol 法、改良CTAB 法及超纯试剂盒法3 种方法的RNA 提取效果。结果表明：TRIzol法（磨样）和改良CTAB 法提取的RNA 浓度较高，但完整性较差；超纯RNA 提取试剂盒法提取的RNA 质量最高，且完整性好，能够满足转录组测序的要求。     

两系优质晚稻广两优7203的特征特性及配套栽培技术

广两优7203是中国水稻研究所和中国科学院遗传与发育生物学研究所用广占63S与中恢7203组配而成的强优势两系杂交稻组合,2013年通过浙江省审定,2014年通过国家审定。本文主要介绍了该组合在江西大面积试验示范的表现及高产栽培技术。     

冠县棉花花铃期田间管理技术

阐述了冠县棉花花铃期的生育特点,结合生产实际制定了田间管理关键技术措施,包括重施花铃肥、补施盖顶肥、中耕培土、适时整枝、化学调控、病虫害防治等,以供参考。     

微生物菌群培养组学在动物医学中的应用

实验室条件下可培养的微生物约占自然界中微生物总数的1%，这限制了人们对99%未知微生物的认识和利用，而研究表明，那些“不可培养的微生物”是可以被开发和利用的，未能被纯培养的微生物才是未知微生物的主体。微生物培养组学探索利用多种培养条件和长时间的培养，结合基质辅助激光解吸电离飞行时间质谱法（MALDI-TOF-MS）和16S核糖体RNA（rRNA）测序可以大规模鉴定各种微生物，同时利用全基因组测序和宏基因组测序手段对未知微生物进行深入分析。本文综述了国内外近年来微生物菌群培养组学在反刍动物胃肠道、禽类盲肠及家畜鼻腔微生物菌群研究中的最新进展，探讨将动物体内菌群培养组学方法应用于动物疾病防治领域的可行性。作为一个新兴的研究方法，尽管该培养组学还存在一些不够成熟的方面，但它的发展前景十分广阔，微生物菌群培养组学方法和其他研究方法的互补已经逐渐成为发展兽医微生物学新的突破口。     

不同温度下TMV侵染枯斑三生烟的LncRNA差异表达

【目的】 筛选不同温度下烟草花叶病毒（Tobacco mosaic virus,TMV）侵染后枯斑三生烟（Nicotiana tabacum var. Samsun NN）差异表达的长链非编码RNA（long non-coding RNA,lncRNA）,研究lncRNA在枯斑三生烟抗性反应中的作用。【方法】 N基因的温度敏感性使枯斑三生烟在25℃时具备对TMV的抗性、在31℃抗性丧失,在这两个温度条件下对枯斑三生烟接种TMV和磷酸盐缓冲盐水（phosphate buffered saline,PBS）,48 h后提取系统叶总RNA,构建链特异性文库后进行深度测序。对测序结果进行过滤后利用HTSeq将有效数据与近缘品种TN90（N. tabacum var. TN90）基因组比对,筛选得到lncRNA后利用FPKM法估计lncRNA的表达水平。通过edgeR筛选差异表达lncRNA（differentially expressed lncRNA,DElncRNA）,并利用qRT-PCR技术对这一结果进行验证。通过共定位及共表达分析预测DElncRNA的靶基因,通过参考基因组注释、GO和KEGG富集分析研究靶基因的功能。【结果】 4个处理共12个样本经lncRNA-seq各测得约8 000万条clean reads,共获得4 737条已知lncRNA、40 169条新lncRNA。其中64个lncRNA在不同温度条件下TMV侵染后存在差异表达,qRT-PCR测定结果显示这些lncRNA的测序正确率在80%左右,表明本研究所得测序数据具备较高的可信度。对DElncRNA进行靶基因预测,发现一些基因同时被25℃下调和31℃上调的DElncRNA靶向。靶基因注释功能丰富,主要参与植物抗病、激素和代谢等生理过程。部分可能与激素通路相关的lncRNA,在25℃下TMV侵染时呈现下调趋势,而在31℃下TMV侵染则呈现上调趋势。GO富集分析显示靶基因主要参与构成膜、囊泡等组分,具备钙、钾离子通道抑制剂活性等分子功能,使相应离子得以转运引发随后的反应,同时也参与发病、抗原加工和呈现、细胞分裂素代谢等生理过程。KEGG分析发现靶基因显著富集在植物激素信号转导通路,25℃下调和31℃上调的DElncRNA靶基因同时富集在激素信号传导、ABC运输蛋白、苯丙烷类生物合成等通路。【结论】 不同温度（25℃和31℃）条件下TMV侵染枯斑三生烟后,长链非编码RNA差异表达,DElncRNA通过作用于激素信号传导、物质转运等过程参与寄主系统获得性抗性反应。研究结果可为揭示植物系统获得性抗性中lncRNA的调控功能以及新型抗病毒技术开发提供依据。     

云阳县玉米高产栽培技术探讨

云阳县是一个贫困落后山区县,为了改善生态环境,合理利用山区自然资源,保证粮食安全与农民增收,介绍了云阳县玉米高产栽培技术,提出进一步发展玉米生产的几点建议,以指导当地玉米生产。     

Vineyard soil bacterial diversity and composition revealed by 16S rRNA genes: Differentiation by geographic features

Here, we examine soil-borne microbial biogeography as a function of the features that define an American Viticultural Area (AVA), a geographically delimited American wine grape-growing region, defined for its distinguishing features of climate, geology, soils, physical features (topography and water), and elevation. In doing so, we lay a foundation upon which to link the terroir of wine back to the soil-borne microbial communities. The objective of this study is to elucidate the hierarchy of drivers of soil bacterial community structure in wine grape vineyards in Napa Valley, California. We measured differences in the soil bacterial and archaeal community composition and diversity by sequencing the fourth variable region of the small subunit ribosomal RNA gene (16S V4 rDNA). Soil bacterial communities were structured with respect to soil properties and AVA, demonstrating the complexity of soil microbial biogeography at the landscape scale and within the single land-use type. Location and edaphic variables that distinguish AVAs were the strongest explanatory factors for soil microbial community structure. Notably, the relationship with TC and TN of the <53 μm and 53–250 μm soil fractions offers support for the role of bacterial community structure rather than individual taxa on fine soil organic matter content. We reason that AVA, climate, and topography each affect soil microbial communities through their suite of impacts on soil properties. The identification of distinctive soil microbial communities associated with a given AVA lends support to the idea that soil microbial communities form a key in linking wine terroir back to the biotic components of the soil environment, suggesting that the relationship between soil microbial communities and wine terroir should be examined further.     

澳大利亚班克木生态习性与栽培技术研究综述

从澳大利亚班克木的资源概况、生物学特性、生长习性、育苗技术、栽培技本及其在生态上的应用等方面进行详细阐述,对班克木的引种栽培具有较好的指导意义.     

Response of the soil fungal community to multi-factor environmental changes in a temperate forest

Both environmental and climatic changes are known to influence soil microbial biomes in terrestrial ecosystems. However, there are limited data defining the interactive effects of multi-factor environmental disturbances, including N-deposition, precipitation, and air temperature, on soil fungal communities in temperate forests. A 3-year outdoor pot experiment was conducted to examine the temporal shifts of soil fungal communities in a temperate forest following N-addition, precipitation and air temperature changes. The shifts in the structure and composition of soil fungal communities were characterized by denaturing gradient gel electrophoresis and DNA sequencing. N-addition regimen induced significant alterations in the composition of soil fungal communities, and this effect was different at both higher and lower altitudes. The response of the soil fungal community to N-addition was much stronger in precipitation-reduced soils compared to soils experiencing enhanced precipitation. The combined treatment of N-addition and reduced precipitation caused more pronounced changes in the lower altitude versus those in the higher one. Certain fungal species in the subphylum Pezizomycotina and Saccharomycotina distinctively responded to N fertilization and soil water control at both altitudes. Redundancy discrimination analysis showed that changes in environmental factors and soil physicochemical properties explained 43.7% of the total variability in the soil fungal community at this forest ecosystem. Variations in the soil fungal community were significantly related to the altitude, soil temperature, total soil N content (TN) and pH value (P < 0.05). We present evidence for the interactive effects of N-addition, water manipulation and air temperature to reshape soil fungal communities in the temperate forest. Our data could provide new insights into predicting the response of soil micro-ecosystem to climatic changes.