Corn microbial diversity and its relationship to yield
Corn microbial diversity and its relationship to yield
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DOI：
10.1139/cjm-2020-0002
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发表时间：
2020-08-01
影响因子：
2.8
通讯作者：
Lazarovits, George
中科院分区：
文献类型：
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作者：
Ali, Shimaila;Saldias, Soledad;Lazarovits, George
本研究旨在确定玉米生产力与其内环境微生物群落之间的可能关系。任何见解都将用于在农场一级制定可检验的假设。2014年和2017年分别从14块和10块田地收集了汁液，产量范围为每公顷10.1至21.7吨。采用末端限制性片段长度多态性（TRFLP）分析微生物汁液群落，并采用内部纯培养参考数据库和BLAST进行鉴定。这种技术是快速和廉价的，适合在种植者一级使用。评估玉米汁液样品中每种细菌群体的多样性、丰富度和归一化丰度，以将特定田地的微生物组与其产量联系起来。观察到一个负趋势（r = -0.60），与高产领域具有较低的终端限制性片段（TRF）丰富度。对2014年TRF强度和二进制数据的偏最小二乘回归分析确定了10个TRF（细菌属），当不存在或存在于特定水平或比例时，与玉米产量呈正或负相关。使用这些观察结果，开发了一个模型，该模型适应10种微生物中每一种的标准，并为10个字段中的每个字段分配一个分数。2014年收集的数据显示，模型得分较高的地点与较大的产量高度相关（r= 0.83）。当使用2017年数据集时，也可以看到这种相关性（r = 0.87）。我们能够得出结论，当结合2014年和2017年的数据时，模型评分和产量（调整后的R-2 = 0.67，F-[122] = 46.7，p < 0.001）具有积极的显著影响。这项研究的结果正在扩大，以确定玉米汁液社区中可能影响玉米产量的关键微生物，无论玉米品种，地理因素或土壤因素如何。
This study aimed to identify possible relationships between corn (Zea mays L) productivity and its endosphere microbial community. Any insights would be used to develop testable hypotheses at the farm level. Sap was collected from 14 fields in 2014 and 10 fields in 2017, with a yield range of 10.1 to 21.7 tonnes per hectare (t/ha). The microbial sap communities were analyzed using terminal restriction fragment length polymorphism (TRFLP) and identified using an internal pure culture reference database and BLAST. This technique is rapid and inexpensive and is suitable for use at the grower level. Diversity, richness, and normalized abundances of each bacterial population in corn sap samples were evaluated to link the microbiome of a specific field to its yield. A negative trend was observed (r = -0.60), with higher-yielding fields having lower terminal restriction fragment (TRF) richness. A partial least square regression analysis of TRF intensity and binary data from 2014 identified 10 TRFs (bacterial genera) that positively, or negatively, correlated with corn yields, when either absent or present at certain levels or ratios. Using these observations, a model was developed that accommodated criteria for each of the 10 microbes and assigned a score for each field out of 10. Data collected in 2014 showed that sites with higher model scores were highly correlated with larger yields (r= 0.83). This correlation was also seen when the 2017 data set was used (r = 0.87). We were able to conclude that a positive significant effect was seen with the model score and yield (adjusted R-2 = 0.67, F-[122] = 46.7, p < 0.001) when combining 2014 and 2017 data. The results of this study are being expanded to identify the key microbes in the corn sap community that potentially impact corn yield, regardless of corn variety, geographic factors, or edaphic factors.