Fatty acid patterns of phospholipids and lipopolysaccharides in the characterisation of microbial communities in soil: a review

 This review discusses the analysis of whole-community phospholipid fatty acid (PLFA) profiles and the composition of lipopolysaccharides in order to assess the microbial biomass and the community structure in soils. For the determination of soil microbial biomass a good correlation was obtained between the total amount of PLFAs and the microbial biomass measured with methods commonly used for determinations such as total adenylate content and substrate-induced respiration. Generally, after the application of multivariate statistical analyses, whole-community fatty acid profiles indicate which communities are similar or different. However, in most cases, the organisms accounting for similarity or difference cannot be determined, and therefore artefacts could not be excluded. The fatty acids used to determine the biomass vary from those which determine the community structure. Specific attention has to be paid when choosing extraction methods in order to avoid the liberation of fatty acids from non-living organic material and deposits, and to exclude the non-target selection of lipids from living organisms, as well. By excluding the fatty acids which were presumed to be common and widespread prior to multivariate statistical analysis, estimates were improved considerably. Results from principal component analysis showed that determining the levels of fatty acids present in both low and high concentrations is essential in order to correctly identify microorganisms and accurately classify them into taxonomically defined groups. The PLFA technique has been used to elucidate different strategies employed by microorganisms to adapt to changed environmental conditions under wide ranges of soil types, management practices, climatic origins and different perturbations. It has been proposed that the classification of PLFAs into a number of chemically different subgroups should simplify the evaluating procedure and improve the assessment of soil microbial communities, since then only the subgroups assumed to be involved in key processes would be investigated. Received: 24 August 1998     

重金属复合污染下土壤微生物群落功能多样性动力学特征

用碳素利用法对浙江省天台铅锌银尾矿区重金属复合污染土壤微生物群落功能多样性动力学特征进行了初步探讨。研究结果表明 ,矿区重金属复合污染降低了供试土壤的微生物群落代谢剖面 ,且群落代谢剖面值与培养时间之间呈非线性关系 ,其变化过程符合微生物种群生长动态模型 (S形 )。随着重金属复合污染程度的加剧 ,土壤微生物群落功能多样性动力学参数K和r值越低 ,参数s值所需的时间则越长。上述动力学参数与群落代谢剖面各自的主成分分析结果显示 ,微生物群落功能多样性的动力学参数K值和s值能够很好地区分矿区土壤重金属污染程度 ,并且其区分效果比微生物群落代谢剖面值好。土壤微生物群落功能多样性动力学特征的变化可以较好地显示矿区重金属复合污染土壤微生物群落对碳源利用模式的差异 ,反映矿区特定生境土壤微生物群落功能多样性的变化 ,在一定程度上揭示重金属胁迫下环境微生物种群作用机理。     

土壤微生物体氮的季节性变化及其与土壤水分和温度的关系

以杨陵土垫旱耕人为土(中等肥力红油土)为供试土壤进行田间试验和室内培养试验,研究土壤微生物体氮的动态变化及其土壤含水量和温度的关系。结果表明,田间土壤微生物体氮的变化有明显的季节性;夏季最高,冬季最低,其它时期居中;且与土壤温度有显著或极显著的正相关性,相关系数在0.855以上;试验期间土壤水分含量在10%以上,基本能满足微生物活动所需,因而微生物体氮的变化与水分关系并不密切。应用培养试验结果进一步证明了田间试验结果,即在4～36℃范围内,微生物体氮与温度呈线性相关,而在土壤含水量为6.75%～23.23%范围内,与水分呈指数相关关系,当土壤水分小于10.87%时,水分对微生物体氮有突出结果,当超过10.87%后,几乎没有影响。频繁的干湿交替会使微生物体氮显著减少,但冻融交替却无明显影响。     

林地针叶化对土壤微生物特征影响研究

通过野外调查和典型剖面试验分析，对比研究了不同人工林地土壤微生物分布特征，揭示了人工阔叶林地、混交林地和针叶林地土壤剖面微生物区系的分布规律，以及林地大面积针叶化对生物多样性的影响，提出了生态恢复和重建的途径与措施。     

中国东南部红壤地区不同植被对土壤侵蚀和土壤养分的影响

The effect of different vegetation systems including bamboo plantation (BP), forest ecosystem (CF), citrus orchard (Ctr) and farmland (FL) on erosion and nutrients of red soil were investigated in hilly region of southeastern China to find effective control measures for soil erosion. The results showed that all the vegetation systems could significantly reduce soil erosion and nutrient losses compared to bare land (Br). The ability of different vegetation systems to conserve soil and water was in the order of Ctr > BP > CF > FL > Br. Vegetation could also improve soil fertility. The soil organic matter, total N and total P contents were much higher in all the vegetation systems than in bare land, especially for the top soils. Vegetation systems improved soil physical properties remarkably. Compared to the bare land, soil organic matter, TP, TK and available K, especially soil microbial biomass C, N and P, increased under all the vegetation covers. However, they were still much lower than expected, thus these biological measurements are still needed to be carried out continuously.     

土壤微生物量作为土壤肥力指标的探讨

对不同利用方式19个黑土样品的微生物量和养分进行了分析,结果表明林地的微生物量明显高于玉米地和大豆地,但玉米地和大豆地之间未表现出显著差异,土壤微生物量和土壤养分含量大体上都呈现出林地>大豆地>玉米地的一致的趋势;同时土壤微生物量与土壤有机质、全氮、全磷、速效钾和碱解氮呈现出显著或极显著正相关关系,分析结果还表明土壤微生物量碳作为评价土壤肥力指标比土壤微生物量氮更为灵敏。因此,土壤微生物量可以作为评价不同利用方式的黑土肥力水平的一个生物指标。     

生物脱氮除硫(S2-)菌株的分离和特征

采用选择性无机培养基从土壤中富集和分离筛选出一株既能脱氮又能除硫(S2-)的菌种(暂定名T 39)。研究结果表明,该菌种可以在以硫化物(S2-)作能源,以碳酸氢盐作碳源,以硝酸盐作氮源的无机培养基中生长;在培养基中添加少量酵母浸出膏可促进生长;其菌落圆形、湿润、浅黄;其细胞杆状,革兰氏染色阴性,无芽孢,单极生鞭毛,兼厌气,中温性,生长最适起始pH 6.5~7.5,最适温度25~30℃。该菌株16S rDNA序列与多株施氏假单胞菌(P seud om onas stutzeri)16S rDNA序列的同源性达到99%以上。     

土壤质量生物学指标研究进展

本文对近年土壤微生物、土壤酶活性和土壤动物等土壤质量生物学指标研究成果进行了综合评述。土壤微生物是土壤有机组分和生态系统中最活跃的部分,被认为是最敏感的土壤质量生物学指标:微生物生物量代表参与调控土壤中能量和养分循环及有机物质转化所对应微生物的数量,但须结合多样性研究以弥补其无法反映土壤微生物组成和区系变化的缺陷;微生物群落组成和多样性动态反映土壤中生物类群的多变性和土壤质量在微生物数量和功能上的差异;土壤微生物活性体现在土壤微生物商、微生物呼吸和代谢商等方面,应考虑生物量大小与微生物种群活性间的相关关系以反映微生物种群内的差异。土壤酶活性具有极高时效性,在较短时间内就能反映出土壤质量的变化。土壤动物通常以种类的组成和数量,土壤动物区系的相对丰度、多样性或活性作为评价土壤生物质量的敏感指标。与土壤理化指标相比,土壤生物学指标更能对土壤质量的变化做出灵敏迅速的响应,因而被广泛地用于评价土壤质量。     

耕作对旱区坡耕地土壤碳素转化及冬小麦产量的影响

利用长期定位试验(1999开始保护性耕作,2004年采样测定),在豫西旱区坡耕地上进行了不同耕作对土壤有机碳、微生物态碳及水分利用效率的影响研究。结果表明:深松覆盖和免耕覆盖处理的耕层有机碳增加较明显,以深松覆盖有机碳含量最高为6.79gkg-1,比传统耕作高13.82%,其次是免耕,较传统高11.58%,而少耕却较传统降低了1.38%,随着土层的加深,土壤有机碳含量降低,0～60cm有机碳平均值,深松和免耕较传统分别增加了14.08%、5.41%,少耕较传统减少1.12%。土壤微生物碳对耕作敏感,其含量免耕>深松>传统>少耕,分别为206.87mgkg-1、138.43mgkg-1、115.42mgkg-1和112.57mgkg-1,较传统增加79.3%、19.9%和-2.5%。土壤有机碳和土壤微生物态碳都有坡下富集现象。少耕、免耕、深松和传统的SMBC/SOC的值分别为1.91%、3.11%、2.04%和1.93%,免耕和深松对培肥地力、改善环境有好的应用前景;同时免耕覆盖与深松覆盖可提高产量,增产分别达10.22%与9.26%;可提高水分利用效率。     

土壤微生物多样性研究方法的进展

对土壤微生物的4类研究方法即:传统微生物培养法、微生物标记物法、BIOLOGGN微平板法和微生物分子生物技术方法及其应用特点进行了简要的评述和分析,旨在通过比较寻求能够揭示土壤微生物群落结构的最佳方法。分子生物技术方法与传统研究方法等相结合将是大力推动土壤微生物研究的有效方式。