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Sarkar S, Ganapathysubramanian B, Singh A, Fotouhi F, Kar S, Nagasubramanian K, Chowdhary G, Das SK, Kantor G, Krishnamurthy A, Merchant N, Singh AK. Cyber-agricultural systems for crop breeding and sustainable production. TRENDS IN PLANT SCIENCE 2024; 29:130-149. [PMID: 37648631 DOI: 10.1016/j.tplants.2023.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/19/2023] [Accepted: 08/03/2023] [Indexed: 09/01/2023]
Abstract
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and scalable cyberinfrastructure (CI) in both breeding and production agriculture. We discuss the recent progress and perspective of the three fundamental components of CAS - sensing, modeling, and actuation - and the emerging concept of agricultural digital twins (DTs). We also discuss how scalable CI is becoming a key enabler of smart agriculture. In this review we shed light on the significance of CAS in revolutionizing crop breeding and production by enhancing efficiency, productivity, sustainability, and resilience to changing climate. Finally, we identify underexplored and promising future directions for CAS research and development.
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Affiliation(s)
- Soumik Sarkar
- Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA.
| | - Baskar Ganapathysubramanian
- Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA
| | - Arti Singh
- Department of Agronomy, Iowa State University, Ames, IA, USA
| | - Fateme Fotouhi
- Department of Mechanical Engineering, Iowa State University, Ames, IA, USA; Department of Computer Science, Iowa State University, Ames, IA, USA
| | | | | | - Girish Chowdhary
- Department of Agricultural and Biological Engineering and Department of Computer Science, University of Illinois at Urbana Champaign, Champaign, Urbana, IL, USA
| | - Sajal K Das
- Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA
| | - George Kantor
- Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | | | - Nirav Merchant
- Data Science Institute, University of Arizona, Tucson, AZ, USA
| | - Asheesh K Singh
- Department of Agronomy, Iowa State University, Ames, IA, USA.
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Barrett CF, Corbett CW, Thixton-Nolan HL. A lack of population structure characterizes the invasive Lonicera japonica in West Virginia and across eastern North America. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.01.530604. [PMID: 36909462 PMCID: PMC10002767 DOI: 10.1101/2023.03.01.530604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
Invasive plant species cause massive ecosystem damage globally, yet represent powerful case studies in population genetics and rapid adaptation to new habitats. The availability of digitized herbarium collections data, and the ubiquity of invasive species across the landscape make them highly accessible for studies of invasion history and population dynamics associated with their introduction, establishment, spread, and ecological interactions. Here we focus on Lonicera japonica, one of the most damaging invasive vine species in North America. We leveraged digitized collections data and contemporary field collections to reconstruct the invasion history and characterize patterns of genomic variation in the eastern USA, using a straightforward method for generating nucleotide polymorphism data and a recently published, chromosome-level genome for the species. We found an overall lack of population structure among sites in northern West Virginia, USA, as well as across sites in the central and eastern USA. Heterozygosity and population differentiation were both low based on Fst, analysis of molecular variance, principal components analysis, and cluster-based analyses. We also found evidence of high inbreeding coefficients and significant linkage disequilibrium, in line with the ability of this otherwise outcrossing, perennial species to propagate vegetatively. Our findings corroborate earlier studies based on allozyme data, and suggest that intentional, human-assisted spread explains the lack of population structure, as this species was planted for erosion control and as an ornamental, escaping cultivation repeatedly across the USA. Finally, we discuss how plant invasion genomics can be incorporated into experiential undergraduate education as a way to integrate teaching and research.
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Affiliation(s)
- Craig F. Barrett
- Department of Biology, West Virginia University, 5209 Life Sciences Building, 53 Campus Drive, Morgantown, WV, USA 26506
| | - Cameron W. Corbett
- Department of Biology, West Virginia University, 5209 Life Sciences Building, 53 Campus Drive, Morgantown, WV, USA 26506
| | - Hana L. Thixton-Nolan
- Department of Biology, West Virginia University, 5209 Life Sciences Building, 53 Campus Drive, Morgantown, WV, USA 26506
| | - Biology 320 Class
- Department of Biology, West Virginia University, 5209 Life Sciences Building, 53 Campus Drive, Morgantown, WV, USA 26506
- Biology 320 Capstone Students, “Total Science Experience: Genomics” [Appendix 1]
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Barrett CF, Ramachandran D, Chen CH, Corbett CW, Huebner CD, Sinn BT, Yu WB, Suetsugu K. Mitochondrial genome sequencing and analysis of the invasive Microstegium vimineum: a resource for systematics, invasion history, and management. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.10.527995. [PMID: 36798355 PMCID: PMC9934601 DOI: 10.1101/2023.02.10.527995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Premise of the Research Plants remain underrepresented among species with sequenced mitochondrial genomes (mitogenomes), due to the difficulty in assembly with short-read technology. Invasive species lag behind crops and other economically important species in this respect, representing a lack of tools for management and land conservation efforts. Methodology The mitogenome of Microstegium vimineum, one of the most damaging invasive plant species in North America, was sequenced and analyzed using long-read data, providing a resource for biologists and managers. We conducted analyses of genome content, phylogenomic analyses among grasses and relatives based on mitochondrial coding regions, and an analysis of mitochondrial single nucleotide polymorphism in this invasive grass species. Pivotal Results The assembly is 478,010 bp in length and characterized by two large, inverted repeats, and a large, direct repeat. However, the genome could not be circularized, arguing against a "master circle" structure. Long-read assemblies with data subsets revealed several alternative genomic conformations, predominantly associated with large repeats. Plastid-like sequences comprise 2.4% of the genome, with further evidence of Class I and Class II transposable element-like sequences. Phylogenetic analysis placed M. vimineum with other Microstegium species, excluding M. nudum, but with weak support. Analysis of polymorphic sites across 112 accessions of M. vimineum from the native and invasive ranges revealed a complex invasion history. Conclusions We present an in-depth analysis of mitogenome structure, content, phylogenetic relationships, and range-wide genomic variation in M. vimineum's invasive US range. The mitogenome of M. vimineum is typical of other andropogonoid grasses, yet mitochondrial sequence variation across the invasive and native ranges is extensive. Our findings suggest multiple introductions to the US over the last century, with subsequent spread, secondary contact, long-distance dispersal, and possibly post-invasion selection on awn phenotypes. Efforts to produce genomic resources for invasive species, including sequenced mitochondrial genomes, will continue to provide tools for their effective management, and to help predict and prevent future invasions.
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Affiliation(s)
- Craig F. Barrett
- Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, West Virginia, USA 26506
| | - Dhanushya Ramachandran
- Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, West Virginia, USA 26506
| | - Chih-Hui Chen
- Endemic Species Research Institute, 1 Ming-Sheng East Road, Jiji, Nantou 552, Taiwan
| | - Cameron W. Corbett
- Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, West Virginia, USA 26506
| | - Cynthia D. Huebner
- Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, West Virginia, USA 26506
- USDA Forest Service, Northern Research Station, 180 Canfield Street, Morgantown, West Virginia, USA 26505
- Division of Plant and Soil Sciences, West Virginia University, 204 Evansdale Greenhouse, Morgantown, West Virginia, USA 26506
| | - Brandon T. Sinn
- Department of Biology and Earth Science, Otterbein University, 1 South Grove Street, Westerville, OH USA 43081
- Faculty of Biology, University of Latvia, 1 Jelgavas iela, Riga, Latvia LV-1004
| | - Wen-Bin Yu
- Center for Integrative Conservation Xishuangbanna Tropical Botanical Garden, CAS Mengla, Yunnan 666303, China
| | - Kenji Suetsugu
- Department of Biology, Graduate School of Science, Kobe University, 1-1 Rokkodai, Nada-ku, Kobe, 657-8501, Japan
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