Roel Alejandro Chávez-Luzanía1, Amelia C Montoya-Martínez1, Fannie Isela Parra-Cota2, Sergio de Los Santos-Villalobos3. 1. Instituto Tecnológico de Sonora. 5 de febrero 818 sur, CP. 85000, Cd. Obregón, SON, México. 2. Campo Experimental Norman E. Borlaug, Instituto Nacional de Investigaciones forestales, Agrícolas y Pecuarias, Norman E. Borlaug Km. 12, C.P. 85000, Ciudad Obregón, SON, México. 3. Instituto Tecnológico de Sonora. 5 de febrero 818 sur, CP. 85000, Cd. Obregón, SON, México. sergio.delossantos@itson.edu.mx.
Abstract
BACKGROUND: The use of plant growth-promoting microorganisms represents a sustainable way to increase agricultural yields and plant health. Thus, the identification and tracking of these microorganisms are determinants for validating their positive effects on crops. Pangenomes allow the identification of singletons that can be used to design specific primers for the detection of the studied strains. OBJECTIVE: This study aimed to establish a strategy based on the use of whole-genome sequencing and pangenomes for designing and validating primer sets for detecting Bacillus cabrialesii TE3T, Priestia megaterium TRQ8, and Bacillus paralicheniformis TRQ65, a promising beneficial bacterial consortium for wheat. METHODS AND RESULTS: The identification of singletons of TE3T, TRQ8, and TRQ65 was performed by pangenomes using the Kbase platform and subsequently analyzed using BLAST®. The identified DNA regions were used for primer design in AlleleID version 7. Primers were validated by multiplex PCR using pure template DNA from each studied strain, combinations of two or three DNA from these strains, and DNA from agricultural soil samples enriched (and not) with the bacterial consortium. Here, we report the first design of primers capable of detecting and identifying the beneficial strains TE3T, TRQ8, and TRQ65. CONCLUSIONS: The use of pangenomes allowed the distinction of unique sequences that enables the design of primers for specific identification of the studied bacterial strains. This strategy can be widely used for the design of primer sets to detect other strains of interest for combating biopiracy, and commercial protection of biological products, among other applications.
BACKGROUND: The use of plant growth-promoting microorganisms represents a sustainable way to increase agricultural yields and plant health. Thus, the identification and tracking of these microorganisms are determinants for validating their positive effects on crops. Pangenomes allow the identification of singletons that can be used to design specific primers for the detection of the studied strains. OBJECTIVE: This study aimed to establish a strategy based on the use of whole-genome sequencing and pangenomes for designing and validating primer sets for detecting Bacillus cabrialesii TE3T, Priestia megaterium TRQ8, and Bacillus paralicheniformis TRQ65, a promising beneficial bacterial consortium for wheat. METHODS AND RESULTS: The identification of singletons of TE3T, TRQ8, and TRQ65 was performed by pangenomes using the Kbase platform and subsequently analyzed using BLAST®. The identified DNA regions were used for primer design in AlleleID version 7. Primers were validated by multiplex PCR using pure template DNA from each studied strain, combinations of two or three DNA from these strains, and DNA from agricultural soil samples enriched (and not) with the bacterial consortium. Here, we report the first design of primers capable of detecting and identifying the beneficial strains TE3T, TRQ8, and TRQ65. CONCLUSIONS: The use of pangenomes allowed the distinction of unique sequences that enables the design of primers for specific identification of the studied bacterial strains. This strategy can be widely used for the design of primer sets to detect other strains of interest for combating biopiracy, and commercial protection of biological products, among other applications.
Authors: Valeria Valenzuela-Ruiz; Rosa Icela Robles-Montoya; Fannie Isela Parra-Cota; Gustavo Santoyo; Ma Del Carmen Orozco-Mosqueda; Roberto Rodríguez-Ramírez; Sergio de Los Santos-Villalobos Journal: 3 Biotech Date: 2019-11-04 Impact factor: 2.406
Authors: Hajeewaka C Mendis; Varghese P Thomas; Patrick Schwientek; Rauf Salamzade; Jung-Ting Chien; Pramuditha Waidyarathne; Joseph Kloepper; Leonardo De La Fuente Journal: PLoS One Date: 2018-02-15 Impact factor: 3.240
Authors: Adam P Arkin; Robert W Cottingham; Christopher S Henry; Nomi L Harris; Rick L Stevens; Sergei Maslov; Paramvir Dehal; Doreen Ware; Fernando Perez; Shane Canon; Michael W Sneddon; Matthew L Henderson; William J Riehl; Dan Murphy-Olson; Stephen Y Chan; Roy T Kamimura; Sunita Kumari; Meghan M Drake; Thomas S Brettin; Elizabeth M Glass; Dylan Chivian; Dan Gunter; David J Weston; Benjamin H Allen; Jason Baumohl; Aaron A Best; Ben Bowen; Steven E Brenner; Christopher C Bun; John-Marc Chandonia; Jer-Ming Chia; Ric Colasanti; Neal Conrad; James J Davis; Brian H Davison; Matthew DeJongh; Scott Devoid; Emily Dietrich; Inna Dubchak; Janaka N Edirisinghe; Gang Fang; José P Faria; Paul M Frybarger; Wolfgang Gerlach; Mark Gerstein; Annette Greiner; James Gurtowski; Holly L Haun; Fei He; Rashmi Jain; Marcin P Joachimiak; Kevin P Keegan; Shinnosuke Kondo; Vivek Kumar; Miriam L Land; Folker Meyer; Marissa Mills; Pavel S Novichkov; Taeyun Oh; Gary J Olsen; Robert Olson; Bruce Parrello; Shiran Pasternak; Erik Pearson; Sarah S Poon; Gavin A Price; Srividya Ramakrishnan; Priya Ranjan; Pamela C Ronald; Michael C Schatz; Samuel M D Seaver; Maulik Shukla; Roman A Sutormin; Mustafa H Syed; James Thomason; Nathan L Tintle; Daifeng Wang; Fangfang Xia; Hyunseung Yoo; Shinjae Yoo; Dantong Yu Journal: Nat Biotechnol Date: 2018-07-06 Impact factor: 54.908