4.8 Article

Optimizing Rhizobium-legume symbioses by simultaneous measurement of rhizobial competitiveness and N2 fixation in nodules

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1921225117

关键词

nodulation; legume; rhizobium; competition; nitrogen-fixing

资金

  1. Biotechnology and Biological Sciences Research Council [BB/L011484/1, BB/N003608/1, BB/N013387/1]
  2. Mexican Government Grant Consejo Nacional de Ciencia y Tecnologia [266954/399852]
  3. University of Oxford Disability Advisory Service
  4. BBSRC [BB/N013387/1, BB/L011484/1, BB/K006134/1, BB/N003608/1, BB/T001801/1] Funding Source: UKRI

向作者/读者索取更多资源

Legumes tend to be nodulated by competitive rhizobia that do not maximize nitrogen (N-2) fixation, resulting in suboptimal yields. Rhizobial nodulation competitiveness and effectiveness at N-2 fixation are independent traits, making their measurement extremely time-consuming with low experimental throughput. To transform the experimental assessment of rhizobial competitiveness and effectiveness, we have used synthetic biology to develop reporter plasmids that allow simultaneous high-throughput measurement of N-2 fixation in individual nodules using green fluorescent protein (GFP) and barcode strain identification (Plasmid ID) through next generation sequencing (NGS). In a proof-of-concept experiment using this technology in an agricultural soil, we simultaneously monitored 84 different Rhizobium leguminosarum strains, identifying a supercompetitive and highly effective rhizobial symbiont for peas. We also observed a remarkable frequency of nodule coinfection by rhizobia, with mixed occupancy identified in similar to 20% of nodules, containing up to six different strains. Critically, this process can be adapted to multiple Rhizobium-legume symbioses, soil types, and environmental conditions to permit easy identification of optimal rhizobial inoculants for field testing to maximize agricultural yield.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据