Spatial and Temporal Shifts of Endophytic Bacteria in Conifer Seedlings of Abies religiosa (Kunth) Schltdl. & Cham.


Journal

Microbial ecology
ISSN: 1432-184X
Titre abrégé: Microb Ecol
Pays: United States
ID NLM: 7500663

Informations de publication

Date de publication:
03 Jul 2024
Historique:
received: 19 03 2024
accepted: 09 06 2024
medline: 3 7 2024
pubmed: 3 7 2024
entrez: 3 7 2024
Statut: epublish

Résumé

Endophytes play an important role in plant development, survival, and establishment, but their temporal dynamics in young conifer plants are still largely unknown. In this study, the bacterial community was determined by metabarcoding of the 16S rRNA gene in the rhizoplane, roots, and aerial parts of 1- and 5-month-old seedlings of natural populations of Abies religiosa (Kunth) Schltdl. & Cham. In 1-month-old seedlings, Pseudomonas dominated aerial parts (relative abundance 71.6%) and roots (37.9%). However, the roots exhibited significantly higher bacterial species richness than the aerial parts, with the dissimilarity between these plant sections mostly explained by the loss of bacterial amplification sequence variants. After 5 months, Mucilaginibacter dominated in the rhizoplane (9.0%), Streptomyces in the roots (12.2%), and Pseudomonas in the aerial parts (18.1%). The bacterial richness and community structure differed significantly between the plant sections, and these variations were explained mostly by 1-for-1 substitution. The relative abundance of putative metabolic pathways significantly differed between the plant sections at both 1 and 5 months. All the dominant bacterial genera (e.g., Pseudomonas and Burkholderia-Caballeronia-Paraburkholderia) have been reported to have plant growth-promoting capacities and/or antagonism against pathogens, but what defines their role for plant development has still to be determined. This investigation improves our understanding of the early plant-bacteria interactions essential for natural regeneration of A. religiosa forest.

Identifiants

pubmed: 38958675
doi: 10.1007/s00248-024-02398-9
pii: 10.1007/s00248-024-02398-9
doi:

Substances chimiques

RNA, Ribosomal, 16S 0
DNA, Bacterial 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

90

Subventions

Organisme : Consejo Nacional de Humanidades Ciencia y Tecnología (CONAHCyT)
ID : 591213
Organisme : Consejo Nacional de Humanidades Ciencia y Tecnología (CONAHCyT)
ID : INFR-2015-01-253217

Informations de copyright

© 2024. The Author(s).

Références

Gouda S, Das G, Sen SK, Shin HS, Patra JK (2016) Endophytes: a treasure house of bioactive compounds of medicinal importance. Front Microbiol 7:1538–1538. https://doi.org/10.3389/FMICB.2016.01538/BIBTEX
doi: 10.3389/FMICB.2016.01538/BIBTEX pubmed: 27746767 pmcid: 5041141
Kandel SL, Joubert PM, Doty SL (2017) Bacterial endophyte colonization and distribution within plants. Microorganisms 5:77. https://doi.org/10.3390/MICROORGANISMS5040077
doi: 10.3390/MICROORGANISMS5040077 pubmed: 29186821 pmcid: 5748586
Santoyo G, Moreno-Hagelsieb G, MdelC O-M, Glick BR (2016) Plant growth-promoting bacterial endophytes. Microbiol Res 183:92–99. https://doi.org/10.1016/j.micres.2015.11.008
doi: 10.1016/j.micres.2015.11.008 pubmed: 26805622
Mengistu AA (2020) Endophytes: Colonization, behaviour, and their role in defense mechanism. Int J Microbiol 6927219. https://doi.org/10.1155/2020/6927219
Oren A, Garrity GM (2021) Valid publication of the names of forty-two phyla of prokaryotes. Int J Syst Evol Microbiol 71(10). https://doi.org/10.1099/ijsem.0.005056
Afzal I, Shinwari ZK, Sikandar S, Shahzad S (2019) Plant beneficial endophytic bacteria: mechanisms, diversity, host range and genetic determinants. Microbiol Res 221:36–49. https://doi.org/10.1016/j.micres.2019.02.001
doi: 10.1016/j.micres.2019.02.001 pubmed: 30825940
James EK, Gyaneshwar P, Manthan N, Barraquio WL, Reddy PM, Ianetta PPM, Olivares FL, Ladha JK (2002) Infection and colonization of rice seedlings by the plant growth-promoting bacterium Herbaspirillum seropedicae Z67. Mol Plant-Microbe Inter 15:894–906. https://doi.org/10.1094/MPMI.2002.15.9.894
doi: 10.1094/MPMI.2002.15.9.894
Mark GL, Dow JM, Kiely PD, Higgins H, Haynes J, Baysse C, Abbas A, Foley T, Franks A, Morrissey J, O’Gara F (2005) Transcriptome profiling of bacterial responses to root exudates identifies genes involved in microbe-plant interactions. Proc Natl Acad Sci USA 102:17454–17459. https://doi.org/10.1073/pnas.0506407102
doi: 10.1073/pnas.0506407102 pubmed: 16301542 pmcid: 1297666
Hereira-Pacheco SE, Navarro-Noya YE, Dendooven L (2021) The root endophytic bacterial community of Ricinus communis L. resembles the seeds community more than the rhizosphere bacteria independent of soil water content. Sci Rep 11:2173. https://doi.org/10.1038/s41598-021-81551-7
doi: 10.1038/s41598-021-81551-7 pubmed: 33500437 pmcid: 7838207
Lundberg DS, Lebeis SL, Paredes SH, Yourstone S, Gehring J, Malfatti S, Tremblay J, Engelbrektson A, Kunin V, Rio TGD, Edgar RC, Eickhorst T, Ley RE, Hugenholtz P, Tringe SG, Dangl JL (2012) Defining the core Arabidopsis thaliana root microbiome. Nature 488:86–90. https://doi.org/10.1038/nature11237
doi: 10.1038/nature11237 pubmed: 22859206 pmcid: 4074413
Padda KP, Puri A, Nguyen NK, Philpott TJ, Chanway CP (2022) Evaluating the rhizospheric and endophytic bacterial microbiome of pioneering pines in an aggregate mining ecosystem post-disturbance. Plant Soil 474:213–232. https://doi.org/10.1007/s11104-022-05327-2
doi: 10.1007/s11104-022-05327-2 pubmed: 35698622 pmcid: 9184430
Reichstein M, Carvalhais N (2019) Aspects of forest biomass in the earth system: its role and major unknowns. Surv Geophys 40:693–707. https://doi.org/10.1007/S10712-019-09551-X
doi: 10.1007/S10712-019-09551-X
Sáenz-Romero C, Rehfeldt GE, Duval P, Lindig-Cisneros RA (2012) Abies religiosa habitat prediction in climatic change scenarios and implications for monarch butterfly conservation in Mexico. For Ecol Manag 275:98–106. https://doi.org/10.1016/j.foreco.2012.03.004
doi: 10.1016/j.foreco.2012.03.004
Sáenz-Romero C, Mendoza-Maya E, Gómez-Pineda E, Blanco-García A, Endara-Agramont AR, Lindig-Cisneros R, López-Upton J, Trejo-Ramírez O, Wehenkel C, Cibrián-Tovar D, Flores-López C, Plascencia-González A, Vargas-Hernández JJ (2020) Recent evidence of Mexican temperate forest decline and the need for ex situ conservation, assisted migration, and translocation of species ensembles as adaptive management to face projected climatic change impacts in a megadiverse country. Can J For Res 50(9). https://doi.org/10.1139/cjfr-2019-0329
Pérez-Miranda R, Arriola-Padilla VJ, Romero-Sanchez ME (2020) Characterizing new wintering sites for monarch butterfly colonies in Sierra Nevada, Mexico. Insects 11:384–384. https://doi.org/10.3390/INSECTS11060384
doi: 10.3390/INSECTS11060384 pubmed: 32575885 pmcid: 7349808
Montoya E, Guzmán-Plazola RA, López-Mata L (2020) Fragmentation dynamics in an Abies religiosa forest of central Mexico. Can J For Res 50:680–688. https://doi.org/10.1139/cjfr-2019-0235
doi: 10.1139/cjfr-2019-0235
Araiza-Olivare GA (2020) Efectos del cambio climático en la distribución del bosque de Oyamel. Rev Geog Am Cent 2:263–282. https://doi.org/10.15359/RGAC.65-2.11
doi: 10.15359/RGAC.65-2.11
Thomas GW (1996) Soil pH and Soil Acidity. In: Sparks DL (ed) Methods of soil analysis: chemical methods. American Society of Agronomy, Madison, WI, pp 475–490
Rhoades JD, Mantghi NA, Shause PJ, Alves W (1989) Estimating soil salinity from saturate soil paste electrical conductivity. Soil Sci Soc Am J 53:428–433
doi: 10.2136/sssaj1989.03615995005300020019x
Gee GW, Bauder JW (1986) Particle size analysis. In: Klute A (Ed), Methods of soil analysis. Vol. I Physical and mineralogical methods. American Society of Agronomy. Madison, WI, pp 383–411
Bremner JM (1996) Nitrogen-Total. In: Sparks DL (ed) Methods of soil analysis: chemical methods Part 3. Soil Science Society of America Inc., American Society of Agronomy Inc, Madison, Wisconsin, USA, pp 1085–1122
Sarria-Guzmán Y, Chávez-Romero Y, Gómez-Acata S, Montes-Molina JA, Morales-Salazar E, Dendooven L, Navarro-Noya YE (2016) Bacterial communities associated with different Anthurium andraeanum L. plant tissues. Microb Environ 31:321–328. https://doi.org/10.1264/jsme2.ME16099
doi: 10.1264/jsme2.ME16099
Navarro-Noya YE, Suárez-Arriaga MC, Rojas-Valdes A, Montoya-Ciriaco NM, Gómez-Acata S, Fernández-Luqueño F, Dendooven L (2013) Pyrosequencing analysis of the bacterial community in drinking water wells. Microb Ecol 66:19–29. https://doi.org/10.1007/s00248-013-0222-3
doi: 10.1007/s00248-013-0222-3 pubmed: 23563631
Barillot CD, Sarde CO, Bert V, Tarnaud E, Cochet N (2013) A standardized method for the sampling of rhizosphere and rhizoplan soil bacteria associated to a herbaceous root system. Ann Microbiol 63:471–476. https://doi.org/10.1007/s13213-012-0491-y
doi: 10.1007/s13213-012-0491-y
Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M, Glöckner FO (2013) Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res 41:e1. https://doi.org/10.1093/nar/gks808
doi: 10.1093/nar/gks808 pubmed: 22933715
Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodríguez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, Vázquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG (2019) Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37:852–857. https://doi.org/10.1038/s41587-019-0209-9
doi: 10.1038/s41587-019-0209-9 pubmed: 31341288 pmcid: 7015180
Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13:581–583. https://doi.org/10.1038/nmeth.3869
doi: 10.1038/nmeth.3869 pubmed: 27214047 pmcid: 4927377
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO (2013) The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucl Acids Res 41:D590–D596. https://doi.org/10.1093/nar/gks1219
doi: 10.1093/nar/gks1219 pubmed: 23193283
Douglas GM, Maffei VJ, Zaneveld JR, Yurgel SN, Brown JR, Taylor CM, Huttenhower C, Langille MGI (2020) PICRUSt2 for prediction of metagenome functions. Nat Biotechnol 38:685–688. https://doi.org/10.1038/s41587-020-0548-6
doi: 10.1038/s41587-020-0548-6 pubmed: 32483366 pmcid: 7365738
Caspi R, Billington R, Ferrer L, Foerster H, Fulcher CA, Keseler IM, Kothari A, Krummenacker M, Latendresse M, Mueller LA, Ong Q, Paley S, Subhraveti P, Weaver DS, Karp PD (2016) The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 44:D471–D480. https://doi.org/10.1093/nar/gkv1164
doi: 10.1093/nar/gkv1164 pubmed: 26527732
Louca S, Parfrey LW, Doebeli M (2016) Decoupling function and taxonomy in the global ocean microbiome. Science 353:1272–1277. https://doi.org/10.1126/science.aaf4507
doi: 10.1126/science.aaf4507 pubmed: 27634532
R Core Team (2022) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Version 4.2.2. https://www.r-project.org/ . Accessed 3 Apr 2022
Chao A, Chiu CH, Jost L (2010) Phylogenetic diversity measures based on Hill numbers. Philos Trans R Soc Lond B Biol Sci 27:3599–3609. https://doi.org/10.1098/rstb.2010.0272
doi: 10.1098/rstb.2010.0272
Li D (2021) hillR package: diversity through Hill numbers. Version 0.5.1. https://github.com/daijiang/hillR .  Accessed 1 Mar 2021
Mair P, Wilcox R (2020) WRS2: A collection of robust statistical methods based on Wilcox’ WRS functions. Version: 1.1–0. https://r-forge.r-project.org/projects/psychor/ . Accessed 16 June 2020
Gloor G, Fernandes A, Macklain J, Albert A, Links M, Quinn T, Wu JR, Wong RG, Lieng B (2020) ALDEx2 package: analysis of differential abundance taking sample variation into account. Version: 1.21.1. https://github.com/ggloor/ALDEx_bioc . Accessed 20 Apr 2020
Husson F, Josse J, Le S, Mazet J (2020) FactoMineR package: multivariate exploratory analysis and data mining. Version: 2.3. http://factominer.free.fr . Accessed 29 Feb 2020
Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O’Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H (2019) vegan: community ecology package. Version: 2.5–7. https://CRAN.R-project.org/package=vegan . Accessed 20 Mar 2020
Baselga A, Orme D, Villeger S, De Bortoli J, Leprieur F, Logez M, Henriques-Silva R, Martínez-Santalla S, Martín-Devasa R, Gómez-Rodríguez C, Crujeiras R (2022) Package: betapart. Partitioning beta diversity into turnover and nestedness components. Version: 1.5.6. https://cran.r-project.org/web/packages/betapart/index.html . Accessed 3 Apr 2022
Simonin M, Briand M, Chesneau G, Rochefort A, Marais C, Sarniguet A, Barret M (2022) Seed microbiota revealed by a large-scale meta-analysis including 50 plant species. New Phytol 234:1448–1463. https://doi.org/10.1111/nph.18037
doi: 10.1111/nph.18037 pubmed: 35175621
González-Escobedo R, Briones-Roblero CI, Pineda-Mendoza RM, Rivera-Orduña FN, Zúñiga G (2018) Bacteriome from Pinus arizonica and P. durangensis: diversity, comparison of assemblages, and overlapping degree with the gut bacterial community of a bark beetle that kills pines. Front Microbiol 9:77. https://doi.org/10.3389/fmicb.2018.00077
doi: 10.3389/fmicb.2018.00077 pubmed: 29441055 pmcid: 5797664
Rúa MA, Wilson EC, Steele S, Munters AR, Hoeksema JD, Frank AC (2016) Associations between ectomycorrhizal fungi and bacterial needle endophytes in Pinus radiata: implications for biotic selection of microbial communities. Front Microbiol 7:399. https://doi.org/10.3389/fmicb.2016.00399
doi: 10.3389/fmicb.2016.00399 pubmed: 27065966 pmcid: 4815291
Padda KP, Puri A, Nguyen NK, Philpott TJ, Chanway CP (2022) Evaluating the rhizospheric and endophytic bacterial microbiome of pioneering pines in an aggregate mining ecosystem post-disturbance. Plant Soil 474(1–2):213–232. https://doi.org/10.1007/s11104-022-05327-2
doi: 10.1007/s11104-022-05327-2 pubmed: 35698622 pmcid: 9184430
Rana KL, Kour D, Kaur T, Devi R, Yadav AN, Yadav N, Dhaliwal HS, Saxena AK (2020) Endophytic microbes: biodiversity, plant growth-promoting mechanisms and potential applications for agricultural sustainability. Antonie Van Leeuwenhoek 113(8):1075–1107. https://doi.org/10.1007/s10482-020-01429-y
doi: 10.1007/s10482-020-01429-y pubmed: 32488494
Glick BR, Nascimento FX (2021) Pseudomonas 1-aminocyclopropane-1-carboxylate (ACC) deaminase and its role in beneficial plant-microbe interactions. Microorganisms 9:2467. https://doi.org/10.3390/microorganisms9122467
doi: 10.3390/microorganisms9122467 pubmed: 34946069 pmcid: 8707671
Padda KP, Puri A, Chanway C (2019) Endophytic nitrogen fixation - a possible ‘hidden’ source of nitrogen for lodgepole pine trees growing at unreclaimed gravel mining sites. FEMS Microbiol Ecol 95:fiz172. https://doi.org/10.1093/femsec/fiz172
doi: 10.1093/femsec/fiz172 pubmed: 31647534
Xin XF, Kvitko B, He SY (2018) Pseudomonas syringae: what it takes to be a pathogen. Nat Rev Microbiol 16:316–328. https://doi.org/10.1038/nrmicro.2018.17
doi: 10.1038/nrmicro.2018.17 pubmed: 29479077 pmcid: 5972017
Volpiano CG, Lisboa BB, São José JFB, Beneduzi A, Granada CE, Vargas LK (2022) Soil-plant-microbiota interactions to enhance plant growth. Rev Bras Cienc Solo 46:eo210098. https://doi.org/10.36783/18069657rbcs20210098
doi: 10.36783/18069657rbcs20210098
Nakkeeran S, Rajamanickam S, Saravanan R, Vanthana M, Soorianathasundaram K (2021) Bacterial endophytome-mediated resistance in banana for the management of Fusarium wilt. 3 Biotech 11:267. https://doi.org/10.1007/s13205-021-02833-5
doi: 10.1007/s13205-021-02833-5 pubmed: 34017673 pmcid: 8124033
Worsley SF, Newitt J, Rassbach J, Batey SFD, Holmes NA, Murrell JC, Wilkinson B, Hutchings MI (2020) Streptomyces endophytes promote host health and enhance growth across plant species. Appl Environ Microbiol 86(16):1–17. https://doi.org/10.1128/AEM.01053-20/SUPPL_FILE/AEM.01053-20-SD002.XLSX
doi: 10.1128/AEM.01053-20/SUPPL_FILE/AEM.01053-20-SD002.XLSX
Colombo EM, Kunova A, Pizzatti C, Saracchi M, Cortesi P, Pasquali M (2019) Selection of an endophytic Streptomyces sp. strain DEF09 from wheat roots as a biocontrol agent against Fusarium graminearum. Front Microbiol 10:2356. https://doi.org/10.3389/fmicb.2019.02356
doi: 10.3389/fmicb.2019.02356 pubmed: 31681219 pmcid: 6798073
Kim J, Lee B, Chhetri G, Kim I, So Y, Jang W, Seo T (2022) Identification of Mucilaginibacter conchicola sp. nov, Mucilaginibacter achroorhodeus sp. nov. and Mucilaginibacter pallidiroseus sp. nov. and emended description of the genus Mucilaginibacter. Int J Syst Evol Microbiol 72:005431. https://doi.org/10.1099/ijsem.0.005431
doi: 10.1099/ijsem.0.005431
Fan D, Smith DL (2022) Mucilaginibacter sp. K improves growth and induces salt tolerance in nonhost plants via multilevel mechanisms. Front Plant Sci 13:938697. https://doi.org/10.3389/fpls.2022.938697
doi: 10.3389/fpls.2022.938697 pubmed: 35832221 pmcid: 9271937
Zhang Z, Sun F, ChenY YL, Chen Z, Tian W (2019) Mucilaginibacter endophyticus sp. nov, an endophytic polysaccharide-producing bacterium isolated from a stem of Miscanthus sinensis. Antonie Van Leeuwenhoek 112:1087–1094. https://doi.org/10.1007/s10482-019-01242-2
doi: 10.1007/s10482-019-01242-2 pubmed: 30707396
Chimwamurombe PM, Grönemeyer JL, Reinhold-Hurek B (2016) Isolation and characterization of culturable seed-associated bacterial endophytes from gnotobiotically grown Marama bean seedlings. FEMS Microbiol Ecol 92:fiw083. https://doi.org/10.1093/femsec/fiw083
doi: 10.1093/femsec/fiw083 pubmed: 27118727
Chen RW, He YQ, Cui LQ, Li C, Shi SB, Long LJ, Tian XP (2021) Diversity and distribution of uncultured and cultured Gaiellales and Rubrobacterales in South China sea sediments. Front Microbiol 12:657072. https://doi.org/10.3389/fmicb.2021.657072
doi: 10.3389/fmicb.2021.657072 pubmed: 34220745 pmcid: 8248818
Siegel-Hertz K, Edel-Hermann V, Chapelle E, Terrat S, Raaijmakers JM, Steinberg C (2018) Comparative microbiome analysis of a Fusarium wilt suppressive soil and a Fusarium wilt conducive soil from the Chateaurenard region. Front Microbiol 9:568. https://doi.org/10.3389/fmicb.2018.00568
doi: 10.3389/fmicb.2018.00568 pubmed: 29670584 pmcid: 5893819
Girija D, Rajeevan PK, Balakrishnan S, Panchami PS, Mohan M (2018) 16S rRNA gene taxonomic profiling of endophytic bacteria associated with phylaenopsis roots. J Horticultural Sci 13:103–107. https://doi.org/10.24154/JHS.2018.v13i01.012
doi: 10.24154/JHS.2018.v13i01.012
Acuña JJ, Hu J, Inostroza NG, Valenzuela T, Perez P, Epstein S, Sessitsch A, Zhang Q, Jorquera MA (2023) Endophytic bacterial communities in ungerminated and germinated seeds of commercial vegetables. Sci Rep 13:19829. https://doi.org/10.1038/s41598-023-47099-4
doi: 10.1038/s41598-023-47099-4 pubmed: 37963999 pmcid: 10645892
Sampedro L (2014) Physiological trade-offs in the complexity of pine tree defensive chemistry. Tree Physiol 34:915–918. https://doi.org/10.1093/treephys/tpu082
doi: 10.1093/treephys/tpu082 pubmed: 25261122
Dudeja SS, Suneja-Madan P, Paul M, Maheswari R, Kothe E (2021) Bacterial endophytes: molecular interactions with their hosts. J Basic Microbiol 61:475–505. https://doi.org/10.1002/jobm.202000657
doi: 10.1002/jobm.202000657 pubmed: 33834549
Toole DR, Zhao J, Martens-Habbena W, Strauss SL (2021) Bacterial functional prediction tools detect but underestimate metabolic diversity compared to shotgun metagenomics in southwest Florida soils. Appl Soil Ecol 168:104129. https://doi.org/10.1016/j.apsoil.2021.104129
doi: 10.1016/j.apsoil.2021.104129
Sun S, Jones RB, Fodor AA (2020) Inference-based accuracy of metagenome prediction tools varies across sample types and functional categories. Microbiome 8:46. https://doi.org/10.1186/s40168-020-00815-y
doi: 10.1186/s40168-020-00815-y pubmed: 32241293 pmcid: 7118876

Auteurs

Luc Dendooven (L)

Laboratory of Soil Ecology, Cinvestav, Mexico City, Mexico. dendoove@cinvestav.mx.

Valentín Pérez-Hernández (V)

Laboratory of Soil Ecology, Cinvestav, Mexico City, Mexico.

Gabriel Navarro-Pérez (G)

Laboratory of Soil Ecology, Cinvestav, Mexico City, Mexico.

Juanita Tlalmis-Corona (J)

Laboratorio de Interacciones Bióticas, Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, San Felipe Ixtacuixtla, Mexico.

Yendi E Navarro-Noya (YE)

Laboratorio de Interacciones Bióticas, Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, San Felipe Ixtacuixtla, Mexico. yendiebenezer.navarro.n@uatx.mx.

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