MB-EMBA和ASCA方法在玉米/马铃薯生长期根际微生物多样性动态数据分析中的运用Employed MB-EMB and ASCA Methods to Analyze Maize / Potato Growth Period's Rhizosphere Microbial Biodiversity Dynamic Datas
毛如志;王文鹏;何霞红;
摘要(Abstract):
在农作系统中,深入分析环境、栽培模式对根际微生物多样性的数据结构及其规律的影响,对解释间作效应有科学意义。研究中,运用时间序列模型MB-EMBA和ASCA可以解析玉米/马铃薯生长期根际微生物多样性动态数据。结果表明,MB-EMBA、ASCA可以很好地解释环境与间作对根际微生物代谢群落及细菌物种多样性的影响。MB-EMBA方法分析表明,对Biolog动态数据,玉米单间作根际微生物在不同生育时期对碳源利用的差异明显,可在不同的试验点筛选出碳源标记,马铃薯间作根际微生物利用的碳源种类多于玉米间作根际微生物利用的碳源种类。ASCA结果表明,高杆作物玉米单间作每个时期差异都在0.05水平显著,在玉米生长期1、2、3时间节点间作玉米根际微生物的活力、物种多样性高于单作,在不同环境条件下玉米单作与间作根际微生物代谢活力大于细菌群落多样性;马铃薯单间作根际微生物代谢群落及细菌多样性比较复杂,矮杆作物马铃薯更易受玉米、环境的影响。因此,MB-EMBA和ASCA分析可为解析生物动态数据分析提供新思路。
关键词(KeyWords): 动态数据;MB-EMBA;ASCA;根际微生物代谢群落;细菌群落多样性
基金项目(Foundation): 973项目(2011CB100400)
作者(Author): 毛如志;王文鹏;何霞红;
Email:
DOI: 10.13989/j.cnki.0517-6611.2015.18.002
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