首页> 外文OA文献 >Ribosomal protein biomarkers provide root nodule bacterial identification by MALDI-TOF MS
【2h】

Ribosomal protein biomarkers provide root nodule bacterial identification by MALDI-TOF MS

机译:核糖体蛋白生物标记物通过MALDI-TOF MS提供根瘤细菌鉴定

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Accurate identification of soil bacteria that form nitrogen-fixing associations with legume crops is challenging given the phylogenetic diversity of root nodule bacteria (RNB). The labor-intensive and time-consuming 16S ribosomal RNA (rRNA) sequencing and/or multilocus sequence analysis (MLSA) of conserved genes so far remain the favored molecular tools to characterize symbiotic bacteria. With the development of mass spectrometry (MS) as an alternative method to rapidly identify bacterial isolates, we recently showed that matrix-assisted laser desorption ionization (MALDI) time-of-flight (TOF) can accurately characterize RNB found inside plant nodules or grown in cultures. Here, we report on the development of a MALDI-TOF RNB-specific spectral database built on whole cell MS fingerprints of 116 strains representing the major rhizobial genera. In addition to this RNB-specific module, which was successfully tested on unknown field isolates, a subset of 13 ribosomal proteins extracted from genome data was found to be sufficient for the reliable identification of nodule isolates to rhizobial species as shown in the putatively ascribed ribosomal protein masses (PARPM) database. These results reveal that data gathered from genome sequences can be used to expand spectral libraries to aid the accurate identification of bacterial species by MALDI-TOF MS.
机译:考虑到根瘤细菌(RNB)的系统发育多样性,准确鉴定与豆类作物形成固氮联系的土壤细菌具有挑战性。迄今为止,保守基因的劳动密集型且耗时的16S核糖体RNA(rRNA)测序和/或多基因座序列分析(MLSA)仍然是表征共生细菌的首选分子工具。随着质谱(MS)的发展,它是一种快速鉴定细菌分离物的替代方法,我们最近表明,基质辅助激光解吸电离(MALDI)飞行时间(TOF)可以准确表征植物根瘤内或生长的RNB的特征。在文化中。在这里,我们报告建立在MALDI-TOF RNB特定光谱数据库的开发上,该数据库建立在代表主要根瘤菌属的116个菌株的全细胞MS指纹上。除了已在未知野外分离株上成功测试的该RNB特异性模块外,还发现从基因组数据中提取的13种核糖体蛋白子集足以可靠鉴定根瘤菌根瘤菌,如推定的核糖体所示蛋白质质量(PARPM)数据库。这些结果表明,从基因组序列中收集的数据可用于扩展光谱库,以帮助通过MALDI-TOF MS准确鉴定细菌种类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号