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Oikonomakos IT, Steenblock C, Bornstein SR. Artificial intelligence in diabetes mellitus and endocrine diseases - what can we expect? Nat Rev Endocrinol 2023:10.1038/s41574-023-00852-1. [PMID: 37225823 DOI: 10.1038/s41574-023-00852-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Affiliation(s)
- Ioannis T Oikonomakos
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Charlotte Steenblock
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
- School of Cardiovascular and Metabolic Medicine and Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK.
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland.
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Rees H, Rusholme-Pilcher R, Bailey P, Colmer J, White B, Reynolds C, Ward SJ, Coombes B, Graham CA, de Barros Dantas LL, Dodd AN, Hall A. Circadian regulation of the transcriptome in a complex polyploid crop. PLoS Biol 2022; 20:e3001802. [PMID: 36227835 PMCID: PMC9560141 DOI: 10.1371/journal.pbio.3001802] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/18/2022] [Indexed: 11/07/2022] Open
Abstract
The circadian clock is a finely balanced timekeeping mechanism that coordinates programmes of gene expression. It is currently unknown how the clock regulates expression of homoeologous genes in polyploids. Here, we generate a high-resolution time-course dataset to investigate the circadian balance between sets of 3 homoeologous genes (triads) from hexaploid bread wheat. We find a large proportion of circadian triads exhibit imbalanced rhythmic expression patterns, with no specific subgenome favoured. In wheat, period lengths of rhythmic transcripts are found to be longer and have a higher level of variance than in other plant species. Expression of transcripts associated with circadian controlled biological processes is largely conserved between wheat and Arabidopsis; however, striking differences are seen in agriculturally critical processes such as starch metabolism. Together, this work highlights the ongoing selection for balance versus diversification in circadian homoeologs and identifies clock-controlled pathways that might provide important targets for future wheat breeding.
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Affiliation(s)
- Hannah Rees
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | | | - Paul Bailey
- Royal Botanic Gardens Kew, Richmond, Surrey, United Kingdom
| | - Joshua Colmer
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | - Benjamen White
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | - Connor Reynolds
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | | | - Benedict Coombes
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
| | - Calum A. Graham
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
- School of Biological Sciences, University of Bristol, Bristol, United Kingdom
| | | | - Antony N. Dodd
- John Innes Centre, Norwich Research Park, Norwich, United Kingdom
| | - Anthony Hall
- Earlham Institute, Norwich Research Park, Norwich, United Kingdom
- * E-mail:
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Davis W, Endo M, Locke JCW. Spatially specific mechanisms and functions of the plant circadian clock. PLANT PHYSIOLOGY 2022; 190:938-951. [PMID: 35640123 PMCID: PMC9516738 DOI: 10.1093/plphys/kiac236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
Like many organisms, plants have evolved a genetic network, the circadian clock, to coordinate processes with day/night cycles. In plants, the clock is a pervasive regulator of development and modulates many aspects of physiology. Clock-regulated processes range from the correct timing of growth and cell division to interactions with the root microbiome. Recently developed techniques, such as single-cell time-lapse microscopy and single-cell RNA-seq, are beginning to revolutionize our understanding of this clock regulation, revealing a surprising degree of organ, tissue, and cell-type specificity. In this review, we highlight recent advances in our spatial view of the clock across the plant, both in terms of how it is regulated and how it regulates a diversity of output processes. We outline how understanding these spatially specific functions will help reveal the range of ways that the clock provides a fitness benefit for the plant.
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Affiliation(s)
- William Davis
- Sainsbury Laboratory, University of Cambridge, Cambridge, UK
| | - Motomu Endo
- Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0192, Japan
| | - James C W Locke
- Sainsbury Laboratory, University of Cambridge, Cambridge, UK
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Lal MK, Sharma E, Tiwari RK, Devi R, Mishra UN, Thakur R, Gupta R, Dey A, Lal P, Kumar A, Altaf MA, Sahu DN, Kumar R, Singh B, Sahu SK. Nutrient-Mediated Perception and Signalling in Human Metabolism: A Perspective of Nutrigenomics. Int J Mol Sci 2022; 23:ijms231911305. [PMID: 36232603 PMCID: PMC9569568 DOI: 10.3390/ijms231911305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 09/03/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
The interaction between selective nutrients and linked genes involving a specific organ reveals the genetic make-up of an individual in response to a particular nutrient. The interaction of genes with food opens opportunities for the addition of bioactive compounds for specific populations comprising identical genotypes. The slight difference in the genetic blueprints of humans is advantageous in determining the effect of nutrients and their metabolism in the body. The basic knowledge of emerging nutrigenomics and nutrigenetics can be applied to optimize health, prevention, and treatment of diseases. In addition, nutrient-mediated pathways detecting the cellular concentration of nutrients such as sugars, amino acids, lipids, and metabolites are integrated and coordinated at the organismal level via hormone signals. This review deals with the interaction of nutrients with various aspects of nutrigenetics and nutrigenomics along with pathways involved in nutrient sensing and regulation, which can provide a detailed understanding of this new leading edge in nutrition research and its potential application to dietetic practice.
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Affiliation(s)
- Milan Kumar Lal
- Division of Crop Physiology, Biochemistry and Post-Harvest Technology, ICAR-Central Potato Research Institute, Shimla 171001, India
| | - Eshita Sharma
- Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar 143005, India
| | - Rahul Kumar Tiwari
- Division of Plant Protection, ICAR-Central Potato Research Institute, Shimla 171001, India
| | - Rajni Devi
- Department of Microbiology, Punjab Agricultural University, Ludhiana 141004, India
| | | | - Richa Thakur
- Division of Silviculture and Forest Management, Himalayan Forest Research Institute, Conifer Campus, Shimla 171001, India
| | - Rucku Gupta
- Department of horticulture, Sher-e-Kashmir University of Agricultural Science and Technology of Jammu, Jammu 181101, India
| | - Abhijit Dey
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata 700073, India
| | - Priyanka Lal
- Department of Agricultural Economics and Extension, School of Agriculture, Lovely Professional University, Jalandhar GT Road (NH1), Phagwara 144402, India
| | - Awadhesh Kumar
- Division of Crop Physiology and Biochemistry, ICAR-National Rice Research Institute, Cuttack 754006, India
| | | | - Durgesh Nandini Sahu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Ravinder Kumar
- Division of Plant Protection, ICAR-Central Potato Research Institute, Shimla 171001, India
| | - Brajesh Singh
- Division of Crop Physiology, Biochemistry and Post-Harvest Technology, ICAR-Central Potato Research Institute, Shimla 171001, India
- Correspondence: (B.S.); (S.K.S.)
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- Correspondence: (B.S.); (S.K.S.)
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Gardiner LJ, Krishna R. Bluster or Lustre: Can AI Improve Crops and Plant Health? PLANTS (BASEL, SWITZERLAND) 2021; 10:plants10122707. [PMID: 34961177 PMCID: PMC8707749 DOI: 10.3390/plants10122707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 11/24/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
In a changing climate where future food security is a growing concern, researchers are exploring new methods and technologies in the effort to meet ambitious crop yield targets. The application of Artificial Intelligence (AI) including Machine Learning (ML) methods in this area has been proposed as a potential mechanism to support this. This review explores current research in the area to convey the state-of-the-art as to how AI/ML have been used to advance research, gain insights, and generally enable progress in this area. We address the question-Can AI improve crops and plant health? We further discriminate the bluster from the lustre by identifying the key challenges that AI has been shown to address, balanced with the potential issues with its usage, and the key requisites for its success. Overall, we hope to raise awareness and, as a result, promote usage, of AI related approaches where they can have appropriate impact to improve practices in agricultural and plant sciences.
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