The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
New frontiers in agriculture productivity: Optimised microbial inoculants and in situ microbiome engineering
Abstract
Increasing agricultural productivity is critical to feed the ever-growing human population. Being linked intimately to plant health, growth and productivity, harnessing the plant microbiome is considered a potentially viable approach for the next green revolution, in an environmentally sustainable way. In recent years, our understanding of drivers, roles, mechanisms, along with knowledge to manipulate the plant microbiome, have significantly advanced. Yet, translating this knowledge to expand farm productivity and sustainability requires the development of solutions for a number of technological and logistic challenges. In this article, we propose new and emerging strategies to improve the survival and activity of microbial inoculants, including using selected indigenous microbes and optimising microbial delivery methods, as well as modern gene editing tools to engineer microbial inoculants. In addition, we identify multiple biochemical and molecular mechanisms and/approaches which can be exploited for microbiome engineering in situ to optimise plant-microbiome interactions for improved farm yields. These novel biotechnological approaches can provide effective tools to attract and maintain activities of crop beneficial microbiota that increase crop performance in terms of nutrient acquisition, and resistance to biotic and abiotic stresses, resulting in an increased agricultural productivity and sustainability.
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Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
The rhizosphere microbiome and plant health
Berendsen, R. L., Pieterse, C. M. J., & Bakker, P. A. H. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.04.001 · Cited by 5,347
Structure and functions of the bacterial microbiota of plants
Bulgarelli, D., Schlaeppi, K., Spaepen, S., van Themaat, E. V. L., & Schulze-Lefert, P. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050312-120106 · Cited by 3,308
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891
Microbial diversity drives multifunctionality in terrestrial ecosystems
Delgado-Baquerizo, M., Maestre, F. T., Reich, P. B., Jeffries, T. C., Gaitan, J. J., Encinar, D., Berdugo, M., Campbell, C. D., & Singh, B. K. (2016) · Nature Communications · doi:10.1038/ncomms10541 · Cited by 2,624
Self-citationRole of microorganisms in the evolution of animals and plants: the hologenome theory of evolution
Zilber-Rosenberg, I., & Rosenberg, E. (2008) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2008.00123.x · Cited by 1,739
Role of Plant Growth Promoting Rhizobacteria in Agricultural Sustainability—A Review
Vejan, P., Abdullah, R., Khadiran, T., Ismail, S., & Nasrulhaq Boyce, A. (2016) · Molecules · doi:10.3390/molecules21050573 · Cited by 1,426
Turner, T. R., James, E. K., & Poole, P. S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-6-209 · Cited by 1,349
Algae-bacteria interactions: Evolution, ecology and emerging applications
Ramanan, R., Kim, B.-H., Cho, D.-H., Oh, H.-M., & Kim, H.-S. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2015.12.003 · Cited by 1,301
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Climate change impacts on plant pathogens, food security and paths forward
Singh, B. K., Delgado-Baquerizo, M., Egidi, E., Guirado, E., Leach, J. E., Liu, H., & Trivedi, P. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00900-7 · Cited by 1,334
Self-citationHarnessing rhizosphere microbiomes for drought-resilient crop production
de Vries, F. T., Griffiths, R. I., Knight, C. G., Nicolitch, O., & Williams, A. (2020) · Science · doi:10.1126/science.aaz5192 · Cited by 911
Host selection shapes crop microbiome assembly and network complexity
Xiong, C., Zhu, Y., Wang, J., Singh, B., Han, L., Shen, J., Li, P., Wang, G., Wu, C., Ge, A., et al. (2021) · New Phytologist · doi:10.1111/nph.16890 · Cited by 710
Self-citationSoil microbial inoculants for sustainable agriculture: Limitations and opportunities
O'Callaghan, M., Ballard, R. A., & Wright, D. (2022) · Soil Use and Management · doi:10.1111/sum.12811 · Cited by 489
Enabling sustainable agriculture through understanding and enhancement of microbiomes
Trivedi, P., Mattupalli, C., Eversole, K., & Leach, J. E. (2021) · New Phytologist · doi:10.1111/nph.17319 · Cited by 348
Metadata
- Authors
- Qiu, Z., Egidi, E., Liu, H., Kaur, S., & Singh, B. K.
- Venue
- Biotechnology Advances
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 37
- Issue
- 6
- Pages
- 107371
- ISSN
- 0734-9750 (ISSN-L)
- OpenAlex
- W2921150872
- Cited by
- 349
- References
- 14
- FWCI
- 22.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qiu, Z., Egidi, E., Liu, H., Kaur, S., & Singh, B. K. (2019). New frontiers in agriculture productivity: Optimised microbial inoculants and in situ microbiome engineering. Biotechnology Advances. https://doi.org/10.1016/j.biotechadv.2019.03.010
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