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  4. Rapid Identification of Rhizobia Nodulating Soybean by a High-Resolution Melting Analysis
 
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Rapid Identification of Rhizobia Nodulating Soybean by a High-Resolution Melting Analysis

Type
Journal article
Language
English
Date issued
2024
Author
Jarzyniak, Karolina Maria 
Narożna, Dorota 
Faculty
Wydział Rolnictwa, Ogrodnictwa i Biotechnologii
PBN discipline
biotechnology
Journal
Agronomy
ISSN
2073-4395
DOI
10.3390/agronomy14061305
Volume
14
Number
6
Pages from-to
art. 1305
Abstract (EN)
Soybean [Glycine max (L.) Merr.] is one of the most important and oldest crops. Due to its ability to form symbiotic interactions with nitrogen-fixing bacteria, it is a valuable source of nitrogen for agriculture and proteins for humans and livestock. In Europe, for instance, in Poland, the soybean cultivation area is still not large but is gradually increasing due to climate change. The lack of indigenous soybean microsymbionts in Polish soils forces the application of commercial strains to establish effective symbioses. Fast and reliable identification methods are needed to study the persistence, competitiveness, and dispersal of bradyrhizobia introduced as inocula. Our study aimed to apply real-time PCR coupled with high-resolution melting curve (HRM) analysis to detect and differentiate bacterial strains occupying soybean nodules. HRM-PCR was performed on crude extracts from nodules using primers specific for recA, a highly conserved nonsymbiotic gene. By comparing them with the reference strains, we were able to identify and assign Bradyrhiobium strains that had been introduced into field locations in Poland. In conclusion, HRM analysis was proven to be a fast and accurate method for identifying soybean microsymbionts and might be successfully used for identifying other legume-nodulating bacteria.
Keywords (EN)
  • high-resolution melting PCR (HRM...

  • Glycine max

  • soybean

  • soybean-nodulating bradyrhizobia...

  • Bradyrhizobium japonicum

  • Bradyrhizobium diazoefficiens

  • Bradyrhizobium elkanii

  • strain identification

  • crude nodule extracts

License
cc-bycc-by CC-BY - Attribution
Open access date
June 17, 2023
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