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Chen M, Acharya SM, Yee MO, Cabugao KGM, Chakraborty R. Developing stable, simplified, functional consortia from Brachypodium rhizosphere for microbial application in sustainable agriculture. Front Microbiol 2024; 15:1401794. [PMID: 38846575 PMCID: PMC11153752 DOI: 10.3389/fmicb.2024.1401794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/07/2024] [Indexed: 06/09/2024] Open
Abstract
The rhizosphere microbiome plays a crucial role in supporting plant productivity and ecosystem functioning by regulating nutrient cycling, soil integrity, and carbon storage. However, deciphering the intricate interplay between microbial relationships within the rhizosphere is challenging due to the overwhelming taxonomic and functional diversity. Here we present our systematic design framework built on microbial colocalization and microbial interaction, toward successful assembly of multiple rhizosphere-derived Reduced Complexity Consortia (RCC). We enriched co-localized microbes from Brachypodium roots grown in field soil with carbon substrates mimicking Brachypodium root exudates, generating 768 enrichments. By transferring the enrichments every 3 or 7 days for 10 generations, we developed both fast and slow-growing reduced complexity microbial communities. Most carbon substrates led to highly stable RCC just after a few transfers. 16S rRNA gene amplicon analysis revealed distinct community compositions based on inoculum and carbon source, with complex carbon enriching slow growing yet functionally important soil taxa like Acidobacteria and Verrucomicrobia. Network analysis showed that microbial consortia, whether differentiated by growth rate (fast vs. slow) or by succession (across generations), had significantly different network centralities. Besides, the keystone taxa identified within these networks belong to genera with plant growth-promoting traits, underscoring their critical function in shaping rhizospheric microbiome networks. Furthermore, tested consortia demonstrated high stability and reproducibility, assuring successful revival from glycerol stocks for long-term viability and use. Our study represents a significant step toward developing a framework for assembling rhizosphere consortia based on microbial colocalization and interaction, with future implications for sustainable agriculture and environmental management.
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Affiliation(s)
| | | | | | | | - Romy Chakraborty
- Department of Ecology, Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
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Yang Z, Zhao T, Cheng H, Yang J. Microbiome-enabled genomic selection improves prediction accuracy for nitrogen-related traits in maize. G3 (BETHESDA, MD.) 2024; 14:jkad286. [PMID: 38113533 PMCID: PMC11090461 DOI: 10.1093/g3journal/jkad286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 05/19/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
Root-associated microbiomes in the rhizosphere (rhizobiomes) are increasingly known to play an important role in nutrient acquisition, stress tolerance, and disease resistance of plants. However, it remains largely unclear to what extent these rhizobiomes contribute to trait variation for different genotypes and if their inclusion in the genomic selection protocol can enhance prediction accuracy. To address these questions, we developed a microbiome-enabled genomic selection method that incorporated host SNPs and amplicon sequence variants from plant rhizobiomes in a maize diversity panel under high and low nitrogen (N) field conditions. Our cross-validation results showed that the microbiome-enabled genomic selection model significantly outperformed the conventional genomic selection model for nearly all time-series traits related to plant growth and N responses, with an average relative improvement of 3.7%. The improvement was more pronounced under low N conditions (8.4-40.2% of relative improvement), consistent with the view that some beneficial microbes can enhance N nutrient uptake, particularly in low N fields. However, our study could not definitively rule out the possibility that the observed improvement is partially due to the amplicon sequence variants being influenced by microenvironments. Using a high-dimensional mediation analysis method, our study has also identified microbial mediators that establish a link between plant genotype and phenotype. Some of the detected mediator microbes were previously reported to promote plant growth. The enhanced prediction accuracy of the microbiome-enabled genomic selection models, demonstrated in a single environment, serves as a proof-of-concept for the potential application of microbiome-enabled plant breeding for sustainable agriculture.
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Affiliation(s)
- Zhikai Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Tianjing Zhao
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
- Department of Animal Science, University of California Davis, Davis, CA 95616, USA
| | - Hao Cheng
- Department of Animal Science, University of California Davis, Davis, CA 95616, USA
| | - Jinliang Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
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3
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Jansson JK, McClure R, Egbert RG. Soil microbiome engineering for sustainability in a changing environment. Nat Biotechnol 2023; 41:1716-1728. [PMID: 37903921 DOI: 10.1038/s41587-023-01932-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 08/01/2023] [Indexed: 11/01/2023]
Abstract
Recent advances in microbial ecology and synthetic biology have the potential to mitigate damage caused by anthropogenic activities that are deleteriously impacting Earth's soil ecosystems. Here, we discuss challenges and opportunities for harnessing natural and synthetic soil microbial communities, focusing on plant growth promotion under different scenarios. We explore current needs for microbial solutions in soil ecosystems, how these solutions are being developed and applied, and the potential for new biotechnology breakthroughs to tailor and target microbial products for specific applications. We highlight several scientific and technological advances in soil microbiome engineering, including characterization of microbes that impact soil ecosystems, directing how microbes assemble to interact in soil environments, and the developing suite of gene-engineering approaches. This Review underscores the need for an interdisciplinary approach to understand the composition, dynamics and deployment of beneficial soil microbiomes to drive efforts to mitigate or reverse environmental damage by restoring and protecting healthy soil ecosystems.
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Affiliation(s)
- Janet K Jansson
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
| | - Ryan McClure
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Robert G Egbert
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
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4
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Acharya SM, Yee MO, Diamond S, Andeer PF, Baig NF, Aladesanmi OT, Northen TR, Banfield JF, Chakraborty R. Fine scale sampling reveals early differentiation of rhizosphere microbiome from bulk soil in young Brachypodium plant roots. ISME COMMUNICATIONS 2023; 3:54. [PMID: 37280433 PMCID: PMC10244434 DOI: 10.1038/s43705-023-00265-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/18/2023] [Accepted: 05/24/2023] [Indexed: 06/08/2023]
Abstract
For a deeper and comprehensive understanding of the composition and function of rhizosphere microbiomes, we need to focus at the scale of individual roots in standardized growth containers. Root exudation patterns are known to vary along distinct parts of the root even in juvenile plants giving rise to spatially distinct microbial niches. To address this, we analyzed the microbial community from two spatially distinct zones of the developing primary root (tip and base) in young Brachypodium distachyon grown in natural soil using standardized fabricated ecosystems known as EcoFABs as well as in more conventional pot and tubes. 16S rRNA based community analysis showed a strong rhizosphere effect resulting in significant enrichment of several OTUs belonging to Actinobacteria, Bacteroidetes, Firmicutes and Proteobacteria. However, microbial community composition did not differ between root tips and root base or across different growth containers. Functional analysis of bulk metagenomics revealed significant differences between root tips and bulk soil. The genes associated with different metabolic pathways and root colonization were enriched in root tips. On the other hand, genes associated with nutrient-limitation and environmental stress were prominent in the bulk soil compared to root tips, implying the absence of easily available, labile carbon and nutrients in bulk soil relative to roots. Such insights into the relationships between developing root and microbial communities are critical for judicious understanding of plant-microbe interactions in early developmental stages of plants.
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Affiliation(s)
- Shwetha M Acharya
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Mon Oo Yee
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Spencer Diamond
- Department of Earth and Planetary Science, University of California, Berkeley, CA, 94720, USA
| | - Peter F Andeer
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Nameera F Baig
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Omolara T Aladesanmi
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Trent R Northen
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Jillian F Banfield
- Department of Earth and Planetary Science, University of California, Berkeley, CA, 94720, USA
| | - Romy Chakraborty
- Department of Ecology, Earth & Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
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Fichtl L, Hofmann M, Kahlen K, Voss-Fels KP, Cast CS, Ollat N, Vivin P, Loose S, Nsibi M, Schmid J, Strack T, Schultz HR, Smith J, Friedel M. Towards grapevine root architectural models to adapt viticulture to drought. FRONTIERS IN PLANT SCIENCE 2023; 14:1162506. [PMID: 36998680 PMCID: PMC10043487 DOI: 10.3389/fpls.2023.1162506] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 02/27/2023] [Indexed: 05/31/2023]
Abstract
To sustainably adapt viticultural production to drought, the planting of rootstock genotypes adapted to a changing climate is a promising means. Rootstocks contribute to the regulation of scion vigor and water consumption, modulate scion phenological development and determine resource availability by root system architecture development. There is, however, a lack of knowledge on spatio-temporal root system development of rootstock genotypes and its interactions with environment and management that prevents efficient knowledge transfer into practice. Hence, winegrowers take only limited advantage of the large variability of existing rootstock genotypes. Models of vineyard water balance combined with root architectural models, using both static and dynamic representations of the root system, seem promising tools to match rootstock genotypes to frequently occurring future drought stress scenarios and address scientific knowledge gaps. In this perspective, we discuss how current developments in vineyard water balance modeling may provide the background for a better understanding of the interplay of rootstock genotypes, environment and management. We argue that root architecture traits are key drivers of this interplay, but our knowledge on rootstock architectures in the field remains limited both qualitatively and quantitatively. We propose phenotyping methods to help close current knowledge gaps and discuss approaches to integrate phenotyping data into different models to advance our understanding of rootstock x environment x management interactions and predict rootstock genotype performance in a changing climate. This could also provide a valuable basis for optimizing breeding efforts to develop new grapevine rootstock cultivars with optimal trait configurations for future growing conditions.
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Affiliation(s)
- Lukas Fichtl
- Department of General and Organic Viticulture, Hochschule Geisenheim University, Geisenheim, Germany
| | - Marco Hofmann
- Department of General and Organic Viticulture, Hochschule Geisenheim University, Geisenheim, Germany
| | - Katrin Kahlen
- Department of Modeling and Systems Analysis, Hochschule Geisenheim University, Geisenheim, Germany
| | - Kai P. Voss-Fels
- Department of Grapevine Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Clément Saint Cast
- EGFV, University of Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave d’Ornon, France
| | - Nathalie Ollat
- EGFV, University of Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave d’Ornon, France
| | - Philippe Vivin
- EGFV, University of Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, Villenave d’Ornon, France
| | - Simone Loose
- Department of Wine and Beverage Business, Hochschule Geisenheim University, Geisenheim, Germany
| | - Mariem Nsibi
- Department of Grapevine Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Joachim Schmid
- Department of Grapevine Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Timo Strack
- Department of Grapevine Breeding, Hochschule Geisenheim University, Geisenheim, Germany
| | - Hans Reiner Schultz
- Department of General and Organic Viticulture, Hochschule Geisenheim University, Geisenheim, Germany
| | - Jason Smith
- Gulbali Institute for Agriculture, Water and Environment, Charles Sturt University, Orange, NSW, Australia
| | - Matthias Friedel
- Department of General and Organic Viticulture, Hochschule Geisenheim University, Geisenheim, Germany
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Wohor OZ, Rispail N, Ojiewo CO, Rubiales D. Pea Breeding for Resistance to Rhizospheric Pathogens. PLANTS (BASEL, SWITZERLAND) 2022; 11:2664. [PMID: 36235530 PMCID: PMC9572552 DOI: 10.3390/plants11192664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 09/30/2022] [Accepted: 10/06/2022] [Indexed: 06/16/2023]
Abstract
Pea (Pisum sativum L.) is a grain legume widely cultivated in temperate climates. It is important in the race for food security owing to its multipurpose low-input requirement and environmental promoting traits. Pea is key in nitrogen fixation, biodiversity preservation, and nutritional functions as food and feed. Unfortunately, like most crops, pea production is constrained by several pests and diseases, of which rhizosphere disease dwellers are the most critical due to their long-term persistence in the soil and difficulty to manage. Understanding the rhizosphere environment can improve host plant root microbial association to increase yield stability and facilitate improved crop performance through breeding. Thus, the use of various germplasm and genomic resources combined with scientific collaborative efforts has contributed to improving pea resistance/cultivation against rhizospheric diseases. This improvement has been achieved through robust phenotyping, genotyping, agronomic practices, and resistance breeding. Nonetheless, resistance to rhizospheric diseases is still limited, while biological and chemical-based control strategies are unrealistic and unfavourable to the environment, respectively. Hence, there is a need to consistently scout for host plant resistance to resolve these bottlenecks. Herein, in view of these challenges, we reflect on pea breeding for resistance to diseases caused by rhizospheric pathogens, including fusarium wilt, root rots, nematode complex, and parasitic broomrape. Here, we will attempt to appraise and harmonise historical and contemporary knowledge that contributes to pea resistance breeding for soilborne disease management and discuss the way forward.
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Affiliation(s)
- Osman Z. Wohor
- Instituto de Agricultura Sostenible, CSIC, Avenida Menéndez Pidal s/n, 14004 Córdoba, Spain
- Savanna Agriculture Research Institute, CSIR, Nyankpala, Tamale Post TL52, Ghana
| | - Nicolas Rispail
- Instituto de Agricultura Sostenible, CSIC, Avenida Menéndez Pidal s/n, 14004 Córdoba, Spain
| | - Chris O. Ojiewo
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue—Gigiri, Nairobi P.O. Box 1041-00621, Kenya
| | - Diego Rubiales
- Instituto de Agricultura Sostenible, CSIC, Avenida Menéndez Pidal s/n, 14004 Córdoba, Spain
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7
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Ahn TI, Jung JH, Kim HS, Lee JY. Translating CO[Formula: see text] variability in a plant growth system into plant dynamics. Sci Rep 2022; 12:13809. [PMID: 35970950 PMCID: PMC9378742 DOI: 10.1038/s41598-022-18058-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 08/04/2022] [Indexed: 11/20/2022] Open
Abstract
Plant growth occurs owing to the continuous interactions between environmental and genetic factors, and the analysis of plant growth provides crucial information on plant responses. Recent agronomic and analytical methodologies for plant growth require various channels for capturing broader and more dynamic plant traits. In this study, we provide a method of non-invasive growth analyses by translating CO[Formula: see text] variability around a plant. We hypothesized that the cumulative coefficient of variation (CCV) of plant-driven ambient CO[Formula: see text] variation in a plant growth system could yield a numerical indicator that is connected to the plant growth dynamics. Using the system outside-plant growth system-plant coupled dynamic model, we found that the CCV could translate dynamic plant growth under environmental and biophysical constraints. Furthermore, we experimentally demonstrated the application of CCV by using non-airtight growth chamber systems. Our findings may enrich plant growth information channels and assist growers or researchers to analyze plant growth comprehensively.
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Affiliation(s)
- Tae In Ahn
- Smart Farm Research Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 Republic of Korea
| | - Je Hyeong Jung
- Smart Farm Research Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 Republic of Korea
| | - Hyoung Seok Kim
- Smart Farm Research Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 Republic of Korea
| | - Ju Young Lee
- Smart Farm Research Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 Republic of Korea
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8
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Appidi MR, Bible AN, Carper DL, Jawdy SS, Giannone RJ, Hettich RL, Morrell-Falvey J, Abraham PE. Development of an Experimental Approach to Achieve Spatially Resolved Plant Root-Associated Metaproteomics Using an Agar-Plate System. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2022; 35:639-649. [PMID: 35349304 DOI: 10.1094/mpmi-01-22-0011-ta] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Plant-microbe interactions in the rhizosphere play a vital role in plant health and productivity. The composition and function of root-associated microbiomes is strongly influenced by their surrounding environment, which is often customized by their host. How microbiomes change with respect to space and time across plant roots remains poorly understood, and methodologies that facilitate spatiotemporal metaproteomic studies of root-associated microbiomes are yet to be realized. Here, we developed a method that provides spatially resolved metaproteome measurements along plant roots embedded in agar-plate culture systems, which have long been used to study plants. Spatially defined agar "plugs" of interest were excised and subsequently processed using a novel peptide extraction method prior to metaproteomics, which was used to infer both microbial community composition and function. As a proof-of-principle, a previously studied 10-member community constructed from a Populus root system was grown in an agar plate with a 3-week-old Populus trichocarpa plant. Metaproteomics was performed across two time points (24 and 48 h) for three distinct locations (root base, root tip, and a region distant from the root). The spatial resolution of these measurements provides evidence that microbiome composition and expression changes across the plant root interface. Interrogation of the individual microbial proteomes revealed functional profiles related to their behavioral associations with the plant root, in which chemotaxis and augmented metabolism likely supported predominance of the most abundant member. This study demonstrated a novel peptide extraction method for studying plant agar-plate culture systems, which was previously unsuitable for (meta)proteomic measurements.
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Affiliation(s)
- Manasa R Appidi
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
- Department of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN 37996, U.S.A
| | - Amber N Bible
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
| | - Dana L Carper
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
| | - Sara S Jawdy
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
| | - Richard J Giannone
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
| | - Robert L Hettich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
| | | | - Paul E Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, U.S.A
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Meier MA, Xu G, Lopez-Guerrero MG, Li G, Smith C, Sigmon B, Herr JR, Alfano JR, Ge Y, Schnable JC, Yang J. Association analyses of host genetics, root-colonizing microbes, and plant phenotypes under different nitrogen conditions in maize. eLife 2022; 11:75790. [PMID: 35894213 PMCID: PMC9470161 DOI: 10.7554/elife.75790] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
The root-associated microbiome (rhizobiome) affects plant health, stress tolerance, and nutrient use efficiency. However, it remains unclear to what extent the composition of the rhizobiome is governed by intraspecific variation in host plant genetics in the field and the degree to which host plant selection can reshape the composition of the rhizobiome. Here we quantify the rhizosphere microbial communities associated with a replicated diversity panel of 230 maize (Zea mays L.) genotypes grown in agronomically relevant conditions under high N (+N) and low N (-N) treatments. We analyze the maize rhizobiome in terms of 150 abundant and consistently reproducible microbial groups and we show that the abundance of many root-associated microbes is explainable by natural genetic variation in the host plant, with a greater proportion of microbial variance attributable to plant genetic variation in -N conditions. Population genetic approaches identify signatures of purifying selection in the maize genome associated with the abundance of several groups of microbes in the maize rhizobiome. Genome-wide association study was conducted using the abundance of microbial groups as rhizobiome traits, and identified n = 622 plant loci that are linked to the abundance of n = 104 microbial groups in the maize rhizosphere. In 62/104 cases, which is more than expected by chance, the abundance of these same microbial groups was correlated with variation in plant vigor indicators derived from high throughput phenotyping of the same field experiment. We provide comprehensive datasets about the three-way interaction of host genetics, microbe abundance, and plant performance under two N treatments to facilitate targeted experiments towards harnessing the full potential of root-associated microbial symbionts in maize production.
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Affiliation(s)
- Michael A Meier
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, United States
| | - Gen Xu
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, United States
| | | | - Guangyong Li
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, United States
| | - Christine Smith
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, United States
| | - Brandi Sigmon
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, United States
| | - Joshua R Herr
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, United States
| | - James R Alfano
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, United States
| | - Yufeng Ge
- Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, United States
| | - James C Schnable
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, United States
| | - Jinliang Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, United States
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10
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Nwachukwu BC, Ayangbenro AS, Babalola OO. Effects of soil properties and carbon substrates on bacterial diversity of two sunflower farms. AMB Express 2022; 12:47. [PMID: 35460382 PMCID: PMC9035202 DOI: 10.1186/s13568-022-01388-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/09/2022] [Indexed: 11/24/2022] Open
Abstract
The sustainable production of sunflower (Helianthus annuus) is crucial and one way to accomplish this feat is to have an understanding of the beneficial bacteria of sunflower rhizosphere. Similarly, the respiratory response of these bacteria needs to be studied to understand their roles in the ecosystem. This study was therefore conceptualized to gain insights into the effects of soil properties and carbon substrate utilization on bacterial community diversity of sunflower rhizosphere grown in Ditsobottla and Kraaipan, North West Province, South Africa. Extracted DNA from sunflower rhizosphere and bulk soils was subjected to 16S amplicon sequencing. Significant differences were observed in the alpha and beta diversities of the soil bacterial communities (p < 0.05). At the order level, among all the bacterial taxa captured in the farms, Bacillales were the most dominant. The abundance of Lactobacillales, Bacillales, Rhizobiales, Enterobacteriales, Burkholderiales, Flavobacteriales, Sphingomonadales, Myxococcales, and Nitrosomonadales obtained from Ditsobottla rhizosphere soil (R1) was positively influenced by organic matter (OM), while the abundance of Planctomycetales, Cytophagales, Gemmatimonadales, Nitrospirales and Caulobacteriales from Kraaipan rhizosphere soil (R2) was positively influenced by total N and pH. Bacterial communities of all the soil samples utilized the different carbon substrates (three amino acids, six carbohydrates, and three carboxylic acids) as an energy source. Significant differences (p < 0.05) were only observed in tryptophan and methionine amended soils. Unclassified bacteria were also captured in this study, such bacteria can further be harnessed for sustainable production of sunflower and other agricultural crops.
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11
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Kerk YJ, Jameel A, Xing X, Zhang C. Recent advances of integrated microfluidic suspension cell culture system. ENGINEERING BIOLOGY 2021; 5:103-119. [PMID: 36970555 PMCID: PMC9996741 DOI: 10.1049/enb2.12015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 11/19/2022] Open
Abstract
Microfluidic devices with superior microscale fluid manipulation ability and large integration flexibility offer great advantages of high throughput, parallelisation and multifunctional automation. Such features have been extensively utilised to facilitate cell culture processes such as cell capturing and culturing under controllable and monitored conditions for cell-based assays. Incorporating functional components and microfabricated configurations offered different levels of fluid control and cell manipulation strategies to meet diverse culture demands. This review will discuss the advances of single-phase flow and droplet-based integrated microfluidic suspension cell culture systems and their applications for accelerated bioprocess development, high-throughput cell selection, drug screening and scientific research to insight cell biology. Challenges and future prospects for this dynamically developing field are also highlighted.
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Affiliation(s)
- Yi Jing Kerk
- Institute of Biochemical EngineeringDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
| | - Aysha Jameel
- Institute of Biochemical EngineeringDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
- MOE Key Laboratory of Industrial BiocatalysisDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
| | - Xin‐Hui Xing
- Institute of Biochemical EngineeringDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
- MOE Key Laboratory of Industrial BiocatalysisDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
- Center for Synthetic and Systems BiologyTsinghua UniversityBeijingChina
| | - Chong Zhang
- Institute of Biochemical EngineeringDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
- MOE Key Laboratory of Industrial BiocatalysisDepartment of Chemical Engineering, Tsinghua UniversityBeijingChina
- Center for Synthetic and Systems BiologyTsinghua UniversityBeijingChina
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12
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Lacek J, García-González J, Weckwerth W, Retzer K. Lessons Learned from the Studies of Roots Shaded from Direct Root Illumination. Int J Mol Sci 2021; 22:12784. [PMID: 34884591 PMCID: PMC8657594 DOI: 10.3390/ijms222312784] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 11/16/2022] Open
Abstract
The root is the below-ground organ of a plant, and it has evolved multiple signaling pathways that allow adaptation of architecture, growth rate, and direction to an ever-changing environment. Roots grow along the gravitropic vector towards beneficial areas in the soil to provide the plant with proper nutrients to ensure its survival and productivity. In addition, roots have developed escape mechanisms to avoid adverse environments, which include direct illumination. Standard laboratory growth conditions for basic research of plant development and stress adaptation include growing seedlings in Petri dishes on medium with roots exposed to light. Several studies have shown that direct illumination of roots alters their morphology, cellular and biochemical responses, which results in reduced nutrient uptake and adaptability upon additive stress stimuli. In this review, we summarize recent methods that allow the study of shaded roots under controlled laboratory conditions and discuss the observed changes in the results depending on the root illumination status.
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Affiliation(s)
- Jozef Lacek
- Laboratory of Hormonal Regulations in Plants, Institute of Experimental Botany, Czech Academy of Sciences, 165 02 Prague, Czech Republic; (J.L.); (J.G.-G.)
- Department of Experimental Plant Biology, Faculty of Science, Charles University, 128 00 Prague, Czech Republic
| | - Judith García-González
- Laboratory of Hormonal Regulations in Plants, Institute of Experimental Botany, Czech Academy of Sciences, 165 02 Prague, Czech Republic; (J.L.); (J.G.-G.)
- Department of Experimental Plant Biology, Faculty of Science, Charles University, 128 00 Prague, Czech Republic
| | - Wolfram Weckwerth
- Department of Functional and Evolutionary Ecology, Molecular Systems Biology (MoSys), Faculty of Life Sciences, University of Vienna, Djerassiplatz 1, 1030 Wien, Austria;
- Vienna Metabolomics Center (VIME), University of Vienna, Djerassiplatz 1, 1030 Wien, Austria
| | - Katarzyna Retzer
- Laboratory of Hormonal Regulations in Plants, Institute of Experimental Botany, Czech Academy of Sciences, 165 02 Prague, Czech Republic; (J.L.); (J.G.-G.)
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Jabusch LK, Kim PW, Chiniquy D, Zhao Z, Wang B, Bowen B, Kang AJ, Yoshikuni Y, Deutschbauer AM, Singh AK, Northen TR. Microfabrication of a Chamber for High-Resolution, In Situ Imaging of the Whole Root for Plant-Microbe Interactions. Int J Mol Sci 2021; 22:7880. [PMID: 34360661 PMCID: PMC8348081 DOI: 10.3390/ijms22157880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/17/2021] [Accepted: 07/18/2021] [Indexed: 11/20/2022] Open
Abstract
Fabricated ecosystems (EcoFABs) offer an innovative approach to in situ examination of microbial establishment patterns around plant roots using nondestructive, high-resolution microscopy. Previously high-resolution imaging was challenging because the roots were not constrained to a fixed distance from the objective. Here, we describe a new 'Imaging EcoFAB' and the use of this device to image the entire root system of growing Brachypodium distachyon at high resolutions (20×, 40×) over a 3-week period. The device is capable of investigating root-microbe interactions of multimember communities. We examined nine strains of Pseudomonas simiae with different fluorescent constructs to B. distachyon and individual cells on root hairs were visible. Succession in the rhizosphere using two different strains of P. simiae was examined, where the second addition was shown to be able to establish in the root tissue. The device was suitable for imaging with different solid media at high magnification, allowing for the imaging of fungal establishment in the rhizosphere. Overall, the Imaging EcoFAB could improve our ability to investigate the spatiotemporal dynamics of the rhizosphere, including studies of fluorescently-tagged, multimember, synthetic communities.
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Affiliation(s)
- Lauren K. Jabusch
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (L.K.J.); (D.C.); (A.J.K.); (A.M.D.)
| | - Peter W. Kim
- CBRN Defense and Energy Technologies, Sandia National Laboratory, Livermore, CA 94550, USA
| | - Dawn Chiniquy
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (L.K.J.); (D.C.); (A.J.K.); (A.M.D.)
| | - Zhiying Zhao
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (Z.Z.); (B.W.); (B.B.); (Y.Y.)
| | - Bing Wang
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (Z.Z.); (B.W.); (B.B.); (Y.Y.)
| | - Benjamin Bowen
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (Z.Z.); (B.W.); (B.B.); (Y.Y.)
| | - Ashley J. Kang
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (L.K.J.); (D.C.); (A.J.K.); (A.M.D.)
| | - Yasuo Yoshikuni
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (Z.Z.); (B.W.); (B.B.); (Y.Y.)
| | - Adam M. Deutschbauer
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (L.K.J.); (D.C.); (A.J.K.); (A.M.D.)
| | - Anup K. Singh
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA;
| | - Trent R. Northen
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (L.K.J.); (D.C.); (A.J.K.); (A.M.D.)
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; (Z.Z.); (B.W.); (B.B.); (Y.Y.)
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