Functional Metagenomics for Rhizospheric Soil in Agricultural Systems

Estefanía Garibay-Valdez, Kadiya Calderon, Francisco Vargas-Albores, Asunción Lago-Lestón, Luis Rafael Martínez Córdova, Marcel Martínez-Porchas

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The study of plant microbiota has been stimulated by recognizing the fundamental role that the genetic capacity of the associated microbial communities has to modulate the phenotypic expression of plants, which is crucial for its health, physiology, and productivity. All genes in a metagenome can be described by whole-metagenome shotgun sequencing, but it is time-consuming, and a high level of experience is required. Alternatively, the amplification and high-throughput sequencing of the16S-rRNA gene allow describing themicrobial composition. Then functional activities can be inferred by listing the abundance of each gene. Also, the identification and the quantification of microbiome transcripts are now accessible to determine the profile and changes in gene expression occurring in a microbial community in response to environmental or experimental variations. Considering the beneficial role of microbial communities in soil environments, it is important increasing the understanding of plant-microbe relationships to provide biotechno- logical information for control and management with sustainable practices
Original languageAmerican English
Title of host publicationMicrobial Genomics in Sustainable Agroecosystems
EditorsVijay Tripathi, Pradeep Kumar, Pooja Tripathi, Amit Kishore
Place of PublicationSingapore
PublisherSpringer Nature Singapore
Chapter10
Pages1
Number of pages13
Volume1
Edition1
ISBN (Electronic)978-981-13-8739-5
DOIs
StatePublished - 2020

Fingerprint

agricultural soils
microbial communities
genes
edaphic factors
sequence analysis
physiology
ribosomal RNA
microorganisms
gene expression
microbiome

Keywords

  • Functional Metagenomics
  • Soil
  • AGRICULTURE, MULTIDISCIPLINARY

Cite this

Garibay-Valdez, E., Calderon, K., Vargas-Albores, F., Lago-Lestón, A., Martínez Córdova, L. R., & Martínez-Porchas, M. (2020). Functional Metagenomics for Rhizospheric Soil in Agricultural Systems. In V. Tripathi, P. Kumar, P. Tripathi, & A. Kishore (Eds.), Microbial Genomics in Sustainable Agroecosystems (1 ed., Vol. 1, pp. 1). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-13-8739-5
Garibay-Valdez, Estefanía ; Calderon, Kadiya ; Vargas-Albores, Francisco ; Lago-Lestón, Asunción ; Martínez Córdova, Luis Rafael ; Martínez-Porchas, Marcel. / Functional Metagenomics for Rhizospheric Soil in Agricultural Systems. Microbial Genomics in Sustainable Agroecosystems. editor / Vijay Tripathi ; Pradeep Kumar ; Pooja Tripathi ; Amit Kishore. Vol. 1 1. ed. Singapore : Springer Nature Singapore, 2020. pp. 1
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Garibay-Valdez, E, Calderon, K, Vargas-Albores, F, Lago-Lestón, A, Martínez Córdova, LR & Martínez-Porchas, M 2020, Functional Metagenomics for Rhizospheric Soil in Agricultural Systems. in V Tripathi, P Kumar, P Tripathi & A Kishore (eds), Microbial Genomics in Sustainable Agroecosystems. 1 edn, vol. 1, Springer Nature Singapore, Singapore, pp. 1. https://doi.org/10.1007/978-981-13-8739-5

Functional Metagenomics for Rhizospheric Soil in Agricultural Systems. / Garibay-Valdez, Estefanía; Calderon, Kadiya; Vargas-Albores, Francisco; Lago-Lestón, Asunción; Martínez Córdova, Luis Rafael; Martínez-Porchas, Marcel.

Microbial Genomics in Sustainable Agroecosystems. ed. / Vijay Tripathi; Pradeep Kumar; Pooja Tripathi; Amit Kishore. Vol. 1 1. ed. Singapore : Springer Nature Singapore, 2020. p. 1.

Research output: Chapter in Book/Report/Conference proceedingChapter

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Garibay-Valdez E, Calderon K, Vargas-Albores F, Lago-Lestón A, Martínez Córdova LR, Martínez-Porchas M. Functional Metagenomics for Rhizospheric Soil in Agricultural Systems. In Tripathi V, Kumar P, Tripathi P, Kishore A, editors, Microbial Genomics in Sustainable Agroecosystems. 1 ed. Vol. 1. Singapore: Springer Nature Singapore. 2020. p. 1 https://doi.org/10.1007/978-981-13-8739-5