水稻化感生物测试方法的比较及应用

选用8个化感作用潜力各异的水稻品种(系)：PI312777、Lemont、Moroberekan、IAC25、IACA7、IAC120、Batatais、Iguape Cateto为供试材料,以田间伴生稗草为受体材料,比较分析了目前较为通用的3种生物测试方法：琼脂迟播共培法(RSA)、石英砂迟播共培法(RSS)和根系分泌物培养法(SRE)对水稻化感潜力的测试效果．结果表明,RSA法应用于测试水稻化感作用潜力的效果最好,RSS法和SRE法的测试结果虽较为一致,但两者都存在不足．据此,运用RSA法对57个水稻材料进行了化感抗草种质资源的初步筛选,从中获得5个强化感作用潜力的水稻材料：Iguape Cateto、PI312777、Azucena、Taichung Native 1和IAC25．     

Impact of allelopathic rice seedlings on rhizospheric microbial populations and their functional diversity

Field performance of rice allelopathic potential is indirectly regulated by the microflora in the rhizosphere. The present study aimed to investigate the dynamics of microbial populations and their functional diversities in the seedling rhizospheres of rice cultivars with varied allelopathic activities by employing agar plate bioassay, fumigation and BIOLOG analysis. Rice cultivars significantly affected the microbial carbon content in their associated rhizospheric soil. The microbial carbon contents were ranked in a decreasing order as Iguape Cateto (441.0 mg·kg^–1) > IAC47 (389.7 mg·kg^–1) > PI312777 (333.2 mg·kg^–1) > Lemont (283.8 mg·kg^–1) with the nil-rice control soil of 129.3 mg·kg^–1. Similarly, the respiration rate of the soils was 1.404, 1.019, 0.671 and 0.488 μgC·g^–1· h^–1 for PI312777, Iguape Cateto, IAC47 and Lemont, respectively. The respiration rate was only 0.304 μ gC·g^–1·h^–1 for the control soil. The microbial flora in the rhizospheric soil of different rice cultivars was dominated by bacteria (58.4%–65.6%), followed by actinomycete (32.2%–39.4%) and fungi (2.2%–2.8%). BIOLOG analysis showed that the value of Average Well Color Development (AWCD) differed significantly among rice cultivars. It was always the highest in the rhizospheric soil of the strongly allelopathic rice cv. PI312777, and the lowest in the rhizospheric soil of the poorly allelopathic rice cv. Lemont. The AWCD value reached the maximum in all the sampled soils after 144 hours of incubation. The AWCD values from the rhizospheric soils of PI312777, IAC47, Iguape Cateto and Lemont were 1.89, 1.79, 1.60 and 1.43 times higher than that of the control soil. Principal Component Analysis (PCA) identified 3 principal component factors (PCF) in relation to carbon sources, accounting for 70.1%, 11.3% and 7.0% of the variation, respectively. 19 categories of carbon sources were significantly positively correlated to the 3 principal components. Phenolic acids, carbohydrates, amino acids and amides were significantly correlated to the principal component 1, phenolic acids, carbohydrates and fatty acids to the principal component 2, and carbohydrates and hydroxylic acids to the principal component 3. Amino acids and amides were the two main carbon sources separating the 3 principal component factors. In addition, the total microbial population in the rhizospheric soil was significantly positively correlated with AWCD, microbial biomass carbon, microbial respiration and Shannon index. There was a significantly positive correlation between the total microbial population and the inhibition rate (IR) on the root length of lettuce owing to the different allelopathic activities of the rice cultivars. These results suggest that changes in microbial population, activity and functional diversity in the rhizospheres are highly cultivar-dependent. These changes might play an important role in governing the rice allelopathic activity in the field.     

Impact of allelopathic rice seedlings on rhizospheric microbial populations and their functional diversity

Field performance of rice allelopathic potential is indirectly regulated by the microflora in the rhizosphere. The present study aimed to investigate the dynamics of microbial populations and their functional diversities in the seedling rhizospheres of rice cultivars with varied allelopathic activities by employing agar plate bioassay, fumigation and BIOLOG analysis. Rice cultivars significantly affected the microbial carbon content in their associated rhizospheric soil. The microbial carbon contents were ranked in a decreasing order as Iguape Cateto (441.0 mg·kg^–1) > IAC47 (389.7 mg·kg^–1) > PI312777 (333.2 mg·kg^–1) > Lemont (283.8 mg·kg^–1) with the nil-rice control soil of 129.3 mg·kg^–1. Similarly, the respiration rate of the soils was 1.404, 1.019, 0.671 and 0.488 μgC·g^–1· h^–1 for PI312777, Iguape Cateto, IAC47 and Lemont, respectively. The respiration rate was only 0.304 μ gC·g^–1·h^–1 for the control soil. The microbial flora in the rhizospheric soil of different rice cultivars was dominated by bacteria (58.4%–65.6%), followed by actinomycete (32.2%–39.4%) and fungi (2.2%–2.8%). BIOLOG analysis showed that the value of Average Well Color Development (AWCD) differed significantly among rice cultivars. It was always the highest in the rhizospheric soil of the strongly allelopathic rice cv. PI312777, and the lowest in the rhizospheric soil of the poorly allelopathic rice cv. Lemont. The AWCD value reached the maximum in all the sampled soils after 144 hours of incubation. The AWCD values from the rhizospheric soils of PI312777, IAC47, Iguape Cateto and Lemont were 1.89, 1.79, 1.60 and 1.43 times higher than that of the control soil. Principal Component Analysis (PCA) identified 3 principal component factors (PCF) in relation to carbon sources, accounting for 70.1%, 11.3% and 7.0% of the variation, respectively. 19 categories of carbon sources were significantly positively correlated to the 3 principal components. Phenolic acids, carbohydrates, amino acids and amides were significantly correlated to the principal component 1, phenolic acids, carbohydrates and fatty acids to the principal component 2, and carbohydrates and hydroxylic acids to the principal component 3. Amino acids and amides were the two main carbon sources separating the 3 principal component factors. In addition, the total microbial population in the rhizospheric soil was significantly positively correlated with AWCD, microbial biomass carbon, microbial respiration and Shannon index. There was a significantly positive correlation between the total microbial population and the inhibition rate (IR) on the root length of lettuce owing to the different allelopathic activities of the rice cultivars. These results suggest that changes in microbial population, activity and functional diversity in the rhizospheres are highly cultivar-dependent. These changes might play an important role in governing the rice allelopathic activity in the field.     

小叶锦鸡儿根际微生物群落功能多样性对环境变化的响应

利用Biolog技术对内蒙古草原灌丛优势种小叶锦鸡儿(Caragana microphylla)根际土壤微生物群落功能多样性特征及其对大气CO2浓度、土壤氮水平和土壤水分3个环境因子变化的响应进行了研究。结果表明:(1)小叶锦鸡儿根际土壤微生物利用碳源总量在整个培养过程中呈逐渐增加的趋势。其利用比例较高的碳源类型为聚合物、糖类和氨基酸。(2)主成分分析表明,8个处理组的微生物群落功能多样性差异显著,其中与主成分1显著相关的碳源有14种,分别属于聚合物、糖类、氨基酸和羧酸。(3)加倍CO2浓度极显著提高平均颜色变化率(AWCD)以及丰富度指数和Shannon均匀度。(4)氮素添加使AWCD、丰富度指数和Shannon均匀度均极显著降低,其抑制效应在加倍CO2浓度时有所缓解。(5)加水处理对上述指标均有一定的促进作用,但是差异未达显著水平。(6)加倍CO2浓度和氮素添加联合处理下,小叶锦鸡儿根际微生物活性高于对照处理,说明加倍CO2浓度对微生物活性的促进效应强于添加氮素的抑制效应。(7)CO2和氮素对上述指标有交互作用。综上所述,小叶锦鸡儿根际土壤微生物群落的功能在很大程度上受到外界环境因子的影响,对环境变化较敏感的碳源类型为聚合物、糖类、氨基酸和羧酸,与利用比例较高的碳源类型基本一致。     

水稻细菌性条斑病发生对水稻根际土壤微生物群落碳代谢多样性的影响

为了解水稻在水稻条斑病发生的不同病理期水稻根际土壤微生物的群落结构和功能多样性,以对水稻条斑病抗性不同的两个水稻品种CG2和IR24为对象,利用Biolog-ECO对两个品种条斑病未发生的分蘖期和条斑病发生的孕穗期水稻根际土壤进行碳代谢多样性分析,表明两个水稻品种健康期的总碳源利用强度高于发病期,对各碳源的利用均明显高于孕穗期。抗性品种CG2健康期根际土壤的微生物群落比发病期根际土壤的Shannon指数、Simpson指数和McIntos指数分别提高7.184%、54.568%和45.792%;感病品种IR24健康期根际土壤的微生物群落结构比发病期根际土壤的Shannon指数、Simpson指数和McIntos指数分别提高4.646%、33.279%和41.134%。通过主成分分析和聚类分析表明,两个水稻材料的不同生理期根际土壤微生物的碳源利用发生了改变,氨基酸类、糖类和酸类碳源是区分水稻不同病理期的敏感碳源。水稻大面积条斑病发生的孕穗期相对于条斑病尚未发生的分蘖期,根际土壤微生物的碳源利用有所改变,微生物群落结构多样性和功能多样性降低。     

独山子区优势草本植物根际与非根际土壤微生物功能多样性

以独山子区3种优势草本植物的根际与非根际土壤为研究对象,采用Biolog-ECO微平板法对土壤微生物功能多样性进行了研究。结果表明:3种不同植物根际与非根际土壤微生物代谢活性(AWCD)、丰富度指数Shannon(H)和均匀度指数Mc Intosh(U)均存在不同差异,且博乐蒿根际土壤微生物功能多样性均优于非根际土壤及其他两种植物;根际土壤微生物对糖类、脂类、酸类和胺类碳源物质比较敏感,非根际土壤微生物敏感于酸类、氨基酸类以及糖类碳源,根际土壤微生物对碳源的利用能力更强,且不同植物根际环境微生物碳源利用特征不同;微生物活性、丰富度指数和微生物均匀度指数与土壤pH值、SOM、AP和NO-3-N存在显著正相关(P0.05);博乐蒿根际土壤养分含量与微生物活性均较高,对环境的适应性更强,在独山子区生态环境管理与建设中可对其进行关注。     

旱直播条件下强弱化感潜力水稻根际微生物的群落结构

运用末端限制性片段长度多态性(T-RFLP)技术,以强化感水稻品种PI312777和弱化感水稻品种Lemont为材料,研究了旱直播模式下5叶期和7叶期化感水稻根际土壤微生物的组成和结构。结果显示:HaeⅢ和MspⅠ2种内切酶分别检测到9—87个TRFs、15—89个TRFs,各个样本的TRFs排序间存在极显著差异,表明各样本的微生物的相对丰富度存在极显著差异。用物种丰富度(S)、香隆指数(H)、Simpson多样性指数(D)、均匀度指数(E)评价了6个样本中TRFs的多样性,香隆指数最能体现2个酶切片断中TRFs的多样性,PI7中TRFs多样性最高。聚类分析和主成分分析表明旱作条件下强弱化感潜力水稻在生育前期(5叶期以前)根际微生物群落的组成与结构相似性较大,而7叶期强弱化感水稻及对照之间微生物群落差异较大,表明水稻根际微生物的组成既受生育期的影响又受水稻品种的影响。7叶期的化感水稻根际微生物呈现最大物种丰富度和香隆-威尔指数多样性,在其特有的34个菌中有7个属于粘细菌目,另外还有一些滑行菌和一些与氮循环相关的细菌等。粘细菌可能通过次生代谢产物抑制伴生杂草种子的萌发,降低杂草的密度从而提高化感水稻的化感作用潜力。     

不同生态条件下油松(Pinus tabulaeformis)菌根根际土壤微生物群落

利用BIOLOG代谢指纹方法分析了陕南商南和陕北安塞不同生态条件下油松菌根根际土壤微生物群落。结果表明,安塞油松和商南油松菌根根际微生物对糖类和氨基酸类碳源较易利用,商南油松菌根根际微生物总体上代谢碳源的种类和活性远大于安塞油松,而且对同类碳源的代谢商南油松的AWCD比安塞油松均高出2倍多。安塞油松菌根根际微生物以氨基酸类代谢群为优势类群,商南油松以糖类代谢群为优势类群。微生物群落多样性指数和微生物群落主成分分析（PCA）指标均表明商南油松和安塞油松菌根根际土壤微生物群落有明显不同,起分异作用的碳源主要为糖类,其次是羧酸类和氨基酸类。商南油松菌根根际土壤微生物群落AWCD极显著高于安塞油松（P<0.01）,细菌数量显著高于安塞油松（P<0.05）,Shannon指数和丰富度指数达极显著性差异（P<0.01）,商南油松和安塞油松菌根侵染率差异不显著,但菌根生物量差异达极显著水平（P<001）。相关性分析表明,菌根生物量与丰富度指数、AWCD呈极显著正相关,与Shannon指数呈显著正相关,但是与菌根侵染率相关性不显著。在商南温暖潮湿丘陵区油松菌根根际微生物活性、群落大小和多样性高于安塞油松,在安塞黄土高原干旱区微生物群落稳定性强于商南油松。     

荒坡地种植巨菌草对土壤微生物群落功能多样性及土壤肥力的影响

研究种植于荒坡地、不同生长年限(1、2、3、5a)的巨菌草对土壤微生物群落功能多样性及肥力的影响。结果表明,不同生长年限巨菌草土壤微生物对不同碳源的利用随培养时间延长而增大,培养72—96 h变化最明显,培养144 h后各土壤AWCD值均达到最大值。总体上AWCD值大小依次为:2年生3年生1年生5年生CK,不同生长年限的巨菌草土壤AWCD值均比对照高,且差异显著,2年生AWCD值最高,其次为3年生,1年生、5年生巨菌草土壤AWCD值差异不显著。对培养96 h土壤微生物利用碳源特性进行主成分分析,31个碳源中提取的与土壤微生物碳源利用相关的主成分8个,其中主成分1至主成分8分别能够解释变量方差的25.39%、18.89%、11.28%、9.31%、6.84%、5.60%、5.26%、4.71%,合计解释变量方差的87.27%;主成分1、主成分2能够区分不同生长年限巨菌草土壤的微生物群落特征,2年生、3年生巨菌草土壤微生物功能多样性与CK相比,差异显著;与主成分1显著相关的碳源主要是糖类,氨基酸,羧酸和多聚物,与主成分2显著相关的碳源主要是氨基酸。不同生长年限的巨菌草的Shannon(H)、均匀度、Brillouin指数均高于CK,且差异显著,2年生与3年生差异不显著,1年生与5年生差异不显著。总体上不同生长年限巨菌草的土壤的pH值、有机质、碱解氮、有效磷、速效钾的含量比对照高,其中3年生巨菌草的土壤有机质含量比对照高98.20%,5年生巨菌草土壤的碱解氮含量比对照高93.2%;除1年生巨菌草外,有机质、碱解氮含量均与对照差异显著。在荒坡地种植巨菌草,可增加土壤微生物群落功能多样性,在一定程度上提高土壤肥力,荒坡地种植巨菌草能产生一定的生态正效应。     

化感水稻根际微生物类群及酶活性变化

以化感水稻PI312777（PI）和非化感水稻Lemont（LE）为材料,分别测定不同水稻叶龄期（3～7叶期）根际微生物区系变化及根际土壤酶活性.结果表明,化感水稻明显影响土壤根际微生物类群及相关酶活性.化感水稻PI根际细菌、放线菌、固氮菌的数量高于非化感水稻LE,增幅分别在11.2%～28.3%、40%～78.6%和111.5%～173.9%之间,而真菌数量低于非化感水稻LE,最高仅为其值的25.5％,说明化感水稻PI对绝大多数细菌、放线菌、固氮菌生长有促进作用,对一些真菌生长有抑制作用.进一步分析表明,化感水稻PI对氨化细菌、亚硝酸细菌、硝酸细菌、好气性固氮菌、好气性纤维素分解菌、硫化细菌的生长具有促进作用,其中以氨化细菌、好气性固氮菌的更为明显,最低增幅分别为53.7％和57.6％;而对反硫化细菌、反硝化细菌生长有抑制作用,其值最高分别为非化感水稻的54.2％和50.6％.此外,化感水稻PI根系分泌物对脲酶、磷酸酶、蔗糖酶的活性具有促进作用,而对过氧化氢酶则呈抑制作用.