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Wang M, Zhu M, Qian J, Yang Z, Shang F, Egan AN, Li P, Liu L. Phylogenomics of mulberries (Morus, Moraceae) inferred from plastomes and single copy nuclear genes. Mol Phylogenet Evol 2024; 197:108093. [PMID: 38740145 DOI: 10.1016/j.ympev.2024.108093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 04/30/2024] [Accepted: 05/06/2024] [Indexed: 05/16/2024]
Abstract
Mulberries (genus Morus), belonging to the order Rosales, family Moraceae, are important woody plants due to their economic values in sericulture, as well as for nutritional benefits and medicinal values. However, the taxonomy and phylogeny of Morus, especially for the Asian species, remains challenging due to its wide geographical distribution, morphological plasticity, and interspecific hybridization. To better understand the evolutionary history of Morus, we combined plastomes and a large-scale nuclear gene analyses to investigate their phylogenetic relationships. We assembled the plastomes and screened 211 single-copy nuclear genes from 13 Morus species and related taxa. The plastomes of Morus species were relatively conserved in terms of genome size, gene content, synteny, IR boundary and codon usage. Using nuclear data, our results elucidated identical topologies based on coalescent and concatenation methods. The genus Morus was supported as monophyletic, with M. notabilis as the first diverging lineage and the two North American Morus species, M. microphylla and M. rubra, as sister to the other Asian species. In the Asian Morus species, interspecific relationships were completely resolved. However, cyto-nuclear discordances and gene tree-species tree conflicts were detected in the phylogenies of Morus, with multiple evidences supporting hybridization/introgression as the main cause of discordances between nuclear and plastid phylogenies, while gene tree-species tree conflicts were mainly caused by ILS.
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Affiliation(s)
- Meizhen Wang
- College of Life Sciences, Henan Normal University, Xinxiang 453000, China; Systematic & Evolutionary Botany and Biodiversity Group, MOE Key Laboratory of Biosystems Homeostasis and Protection, College of Life Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mengmeng Zhu
- Laboratory of Plant Germplasm and Genetic Engineering, School of Life Sciences, Henan University, Kaifeng 475001, China
| | - Jiayi Qian
- College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China
| | - Zhaoping Yang
- College of Life Sciences and Technologies, Tarim University, Alar 843300, China
| | - Fude Shang
- Laboratory of Plant Germplasm and Genetic Engineering, School of Life Sciences, Henan University, Kaifeng 475001, China; College of Life Sciences, Henan Agricultural University, Zhengzhou 450002, China.
| | - Ashley N Egan
- Department of Biology, Utah Valley University, Orem, UT 84058, United States.
| | - Pan Li
- Systematic & Evolutionary Botany and Biodiversity Group, MOE Key Laboratory of Biosystems Homeostasis and Protection, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
| | - Luxian Liu
- College of Life Sciences, Henan Normal University, Xinxiang 453000, China; Laboratory of Plant Germplasm and Genetic Engineering, School of Life Sciences, Henan University, Kaifeng 475001, China.
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2
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Enders A, Grünberger A, Bahnemann J. Towards Small Scale: Overview and Applications of Microfluidics in Biotechnology. Mol Biotechnol 2024; 66:365-377. [PMID: 36515858 PMCID: PMC10881759 DOI: 10.1007/s12033-022-00626-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 11/26/2022] [Indexed: 12/15/2022]
Abstract
Thanks to recent and continuing technological innovations, modern microfluidic systems are increasingly offering researchers working across all fields of biotechnology exciting new possibilities (especially with respect to facilitating high throughput analysis, portability, and parallelization). The advantages offered by microfluidic devices-namely, the substantially lowered chemical and sample consumption they require, the increased energy and mass transfer they offer, and their comparatively small size-can potentially be leveraged in every sub-field of biotechnology. However, to date, most of the reported devices have been deployed in furtherance of healthcare, pharmaceutical, and/or industrial applications. In this review, we consider examples of microfluidic and miniaturized systems across biotechnology sub-fields. In this context, we point out the advantages of microfluidics for various applications and highlight the common features of devices and the potential for transferability to other application areas. This will provide incentives for increased collaboration between researchers from different disciplines in the field of biotechnology.
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Affiliation(s)
- Anton Enders
- Institute of Technical Chemistry, Leibniz University Hannover, Callinstraße 5, 30167, Hannover, Germany
| | - Alexander Grünberger
- Institute of Process Engineering in Life Sciences: Microsystems in Bioprocess Engineering, Karlsruhe Institute of Technology, Fritz-Haber-Weg 2, 76131, Karlsruhe, Germany
| | - Janina Bahnemann
- Institute of Physics, University of Augsburg, Universitätsstraße 1, 86159, Augsburg, Germany.
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3
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Mo ZQ, Wang J, Möller M, Yang JB, Gao LM. Phylogenetic Relationships and Next-Generation Barcodes in the Genus Torreya Reveal a High Proportion of Misidentified Cultivated Plants. Int J Mol Sci 2023; 24:13216. [PMID: 37686021 PMCID: PMC10487542 DOI: 10.3390/ijms241713216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/20/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
Accurate species identification is key to conservation and phylogenetic inference. Living plant collections from botanical gardens/arboretum are important resources for the purpose of scientific research, but the proportion of cultivated plant misidentification are un-tested using DNA barcodes. Here, we assembled the next-generation barcode (complete plastid genome and complete nrDNA cistron) and mitochondrial genes from genome skimming data of Torreya species with multiple accessions for each species to test the species discrimination and the misidentification proportion of cultivated plants used in Torreya studies. A total of 38 accessions were included for analyses, representing all nine recognized species of genus Torreya. The plastid phylogeny showed that all 21 wild samples formed species-specific clades, except T. jiulongshanensis. Disregarding this putative hybrid, seven recognized species sampled here were successfully discriminated by the plastid genome. Only the T. nucifera accessions grouped into two grades. The species identification rate of the nrDNA cistron was 62.5%. The Skmer analysis based on nuclear reads from genome skims showed promise for species identification with seven species discriminated. The proportion of misidentified cultivated plants from arboreta/botanical gardens was relatively high with four accessions (23.5%) representing three species. Interspecific relationships within Torreya were fully resolved with maximum support by plastomes, where Torreya jackii was on the earliest diverging branch, though sister to T. grandis in the nrDNA cistron tree, suggesting that this is likely a hybrid species between T. grandis and an extinct Torreya ancestor lineage. The findings here provide quantitative insights into the usage of cultivated samples for phylogenetic study.
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Affiliation(s)
- Zhi-Qiong Mo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Wang
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | | | - Jun-Bo Yang
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Lian-Ming Gao
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Lijiang Forest Biodiversity National Observation and Research Station, Kunming Institute of Botany, Chinese Academy of Sciences, Lijiang 674100, China
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Sahu SK, Liu M, Chen Y, Gui J, Fang D, Chen X, Yang T, He C, Cheng L, Yang J, Sahu DN, Li L, Wang H, Mu W, Wei J, Liu J, Zhao Y, Zhang S, Lisby M, Liu X, Xu X, Li L, Wang S, Liu H. Chromosome-scale genomes of commercial timber trees (Ochroma pyramidale, Mesua ferrea, and Tectona grandis). Sci Data 2023; 10:512. [PMID: 37537171 PMCID: PMC10400565 DOI: 10.1038/s41597-023-02420-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
Wood is the most important natural and endlessly renewable source of energy. Despite the ecological and economic importance of wood, many aspects of its formation have not yet been investigated. We performed chromosome-scale genome assemblies of three timber trees (Ochroma pyramidale, Mesua ferrea, and Tectona grandis) which exhibit different wood properties such as wood density, hardness, growth rate, and fiber cell wall thickness. The combination of 10X, stLFR, Hi-Fi sequencing and HiC data led us to assemble high-quality genomes evident by scaffold N50 length of 55.97 Mb (O. pyramidale), 22.37 Mb (M. ferrea) and 14.55 Mb (T. grandis) with >97% BUSCO completeness of the assemblies. A total of 35774, 24027, and 44813 protein-coding genes were identified in M. ferrea, T. grandis and O. pyramidale, respectively. The data generated in this study is anticipated to serve as a valuable genetic resource and will promote comparative genomic analyses, and it is of practical importance in gaining a further understanding of the wood properties in non-model woody species.
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Affiliation(s)
- Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Min Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150400, China
| | - Yewen Chen
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Jinshan Gui
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, 311300, Hangzhou, China
| | - Dongming Fang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Xiaoli Chen
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Ting Yang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Chengzhong He
- Southwest Forestry University, Kunming, Yunnan, 650224, China
| | - Le Cheng
- BGI Research, Kunming, Yunnan, 650106, China
| | - Jinlong Yang
- BGI Research, Kunming, Yunnan, 650106, China
- College of Forensic Science, Xi'an Jiaotong University, Xi'an, China
| | - Durgesh Nandini Sahu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Linzhou Li
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Hongli Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Weixue Mu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Jinpu Wei
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Jie Liu
- Forestry Bureau of Ruili, Yunnan Dehong, Ruili, 678600, China
| | | | - Shouzhou Zhang
- Laboratory of Southern Subtropical Plant Diversity, Fairy Lake Botanical Garden, Shenzhen, Chinese Academy of Sciences, Shenzhen, 518004, China
| | - Michael Lisby
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xin Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
| | - Xun Xu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research, Shenzhen, 518083, China
| | - Laigeng Li
- National Key Laboratory of Plant Molecular Genetics and CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, China.
| | - Sibo Wang
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China.
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, 518083, China.
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150400, China.
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Wang Y, Zhang CF, Ochieng Odago W, Jiang H, Yang JX, Hu GW, Wang QF. Evolution of 101 Apocynaceae plastomes and phylogenetic implications. Mol Phylogenet Evol 2023; 180:107688. [PMID: 36581140 DOI: 10.1016/j.ympev.2022.107688] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 11/21/2022] [Accepted: 12/22/2022] [Indexed: 12/27/2022]
Abstract
Apocynaceae are one of the ten species-richest angiosperm families. However, the backbone phylogeny of the family is yet less well supported, and the evolution of plastome structure has not been thoroughly studied for the whole family. Herein, a total of 101 complete plastomes including 35 newly sequenced, 24 reassembled from public raw data and the rest from the NCBI GenBank database, representing 26 of 27 tribes of Apocynaceae, were used for comparative plastome analysis. Phylogenetic analyses were conducted using a combined plastid data matrix of 77 protein-coding genes from 162 taxa, encompassing all tribes and 41 of 49 subtribes of Apocynaceae. Plastome lengths ranged from 150,897 bp in Apocynum venetum to 178,616 bp in Hoya exilis. Six types of boundaries between the inverted repeat (IR) regions and single copy (SC) regions were identified. Different sizes of IR expansion were found in three lineages, including Alyxieae, Ceropegieae and Marsdenieae, suggesting multiple expansion events of the IRs over the SC regions in Apocynaceae. The IR regions of Marsdenieae evolved in two ways: expansion towards the large single copy (LSC) region in Lygisma + Stephanotis + Ruehssia + Gymnema (Cosmopolitan clade), and expansion towards both LSC and small single copy (SSC) region in Dischidia-Hoya alliance and Marsdenia (Asia-Pacific clade). Six coding genes and five non-coding regions were identified as highly variable, including accD, ccsA-ndhD, clpP, matK, ndhF, ndhG-ndhI, trnG(GCC)-trnfM(CAU), trnH(GUG)-psbA, trnY(GUA)-trnE(UUC), ycf1, and ycf2. Maximum likelihood and Bayesian phylogenetic analyses resulted in nearly identical tree topologies and produced a well-resolved backbone comprising 15 consecutive dichotomies that subdivided Apocynaceae into 15 clades. The subfamily Periplocoideae were embedded in the Apocynoid grade and were sister to the Echiteae-Odontadenieae-Mesechiteae clade with high support values. Three tribes (Melodineae, Vinceae, and Willughbeieae), the subtribe Amphineuriinae, and four genera (Beaumontia, Ceropegia, Hoya, and Stephanotis) were not resolved as monophyletic. Our work sheds light on the backbone phylogenetic relationships in the family Apocynaceae and offers insights into the evolution of Apocynaceae plastomes using the most densely sampled plastome dataset to date.
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Affiliation(s)
- Yan Wang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
| | - Cai-Fei Zhang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China.
| | - Wyclif Ochieng Odago
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
| | - Hui Jiang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
| | - Jia-Xin Yang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
| | - Guang-Wan Hu
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China.
| | - Qing-Feng Wang
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Wuhan 430074, China; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
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6
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Verslues PE, Bailey-Serres J, Brodersen C, Buckley TN, Conti L, Christmann A, Dinneny JR, Grill E, Hayes S, Heckman RW, Hsu PK, Juenger TE, Mas P, Munnik T, Nelissen H, Sack L, Schroeder JI, Testerink C, Tyerman SD, Umezawa T, Wigge PA. Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress. THE PLANT CELL 2023; 35:67-108. [PMID: 36018271 PMCID: PMC9806664 DOI: 10.1093/plcell/koac263] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/21/2022] [Indexed: 05/08/2023]
Abstract
We present unresolved questions in plant abiotic stress biology as posed by 15 research groups with expertise spanning eco-physiology to cell and molecular biology. Common themes of these questions include the need to better understand how plants detect water availability, temperature, salinity, and rising carbon dioxide (CO2) levels; how environmental signals interface with endogenous signaling and development (e.g. circadian clock and flowering time); and how this integrated signaling controls downstream responses (e.g. stomatal regulation, proline metabolism, and growth versus defense balance). The plasma membrane comes up frequently as a site of key signaling and transport events (e.g. mechanosensing and lipid-derived signaling, aquaporins). Adaptation to water extremes and rising CO2 affects hydraulic architecture and transpiration, as well as root and shoot growth and morphology, in ways not fully understood. Environmental adaptation involves tradeoffs that limit ecological distribution and crop resilience in the face of changing and increasingly unpredictable environments. Exploration of plant diversity within and among species can help us know which of these tradeoffs represent fundamental limits and which ones can be circumvented by bringing new trait combinations together. Better defining what constitutes beneficial stress resistance in different contexts and making connections between genes and phenotypes, and between laboratory and field observations, are overarching challenges.
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Affiliation(s)
| | - Julia Bailey-Serres
- Department of Botany and Plant Sciences, Center for Plant Cell Biology, University of California, Riverside, California 92521, USA
| | - Craig Brodersen
- School of the Environment, Yale University, New Haven, Connecticut 06511, USA
| | - Thomas N Buckley
- Department of Plant Sciences, University of California, Davis, California 95616, USA
| | - Lucio Conti
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Alexander Christmann
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - José R Dinneny
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Erwin Grill
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - Scott Hayes
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Robert W Heckman
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Po-Kai Hsu
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Paloma Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Barcelona 08193, Spain
- Consejo Superior de Investigaciones Científicas (CSIC), Barcelona 08028, Spain
| | - Teun Munnik
- Department of Plant Cell Biology, Green Life Sciences Cluster, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam NL-1098XH, The Netherlands
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Center for Plant Systems Biology, Ghent 9052, Belgium
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, Institute of the Environment and Sustainability, University of California, Los Angeles, California 90095, USA
| | - Julian I Schroeder
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Christa Testerink
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Stephen D Tyerman
- ARC Center Excellence, Plant Energy Biology, School of Agriculture Food and Wine, University of Adelaide, Adelaide, South Australia 5064, Australia
| | - Taishi Umezawa
- Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo 6708 PB, Japan
| | - Philip A Wigge
- Leibniz-Institut für Gemüse- und Zierpflanzenbau, Großbeeren 14979, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam 14476, Germany
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7
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Wong DCJ, Peakall R. Orchid Phylotranscriptomics: The Prospects of Repurposing Multi-Tissue Transcriptomes for Phylogenetic Analysis and Beyond. FRONTIERS IN PLANT SCIENCE 2022; 13:910362. [PMID: 35712597 PMCID: PMC9196242 DOI: 10.3389/fpls.2022.910362] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/21/2022] [Indexed: 06/10/2023]
Abstract
The Orchidaceae is rivaled only by the Asteraceae as the largest plant family, with the estimated number of species exceeding 25,000 and encompassing more than 700 genera. To gain insights into the mechanisms driving species diversity across both global and local scales, well-supported phylogenies targeting different taxonomic groups and/or geographical regions will be crucial. High-throughput sequencing technologies have revolutionized the field of molecular phylogenetics by simplifying the process of obtaining genome-scale sequence data. Consequently, there has been an explosive growth of such data in public repositories. Here we took advantage of this unprecedented access to transcriptome data from predominantly non-phylogenetic studies to assess if it can be repurposed to gain rapid and accurate phylogenetic insights across the orchids. Exhaustive searches revealed transcriptomic data for more than 100 orchid species spanning 5 subfamilies, 13 tribes, 21 subtribes, and 50 genera that were amendable for exploratory phylotranscriptomic analysis. Next, we performed re-assembly of the transcriptomes before strategic selection of the final samples based on a gene completeness evaluation. Drawing on these data, we report phylogenetic analyses at both deep and shallow evolutionary scales via maximum likelihood and shortcut coalescent species tree methods. In this perspective, we discuss some key outcomes of this study and conclude by highlighting other complementary, albeit rarely explored, insights beyond phylogenetic analysis that repurposed multi-tissue transcriptome can offer.
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8
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Nishii K, Hart M, Kelso N, Barber S, Chen Y, Thomson M, Trivedi U, Twyford AD, Möller M. The first genome for the Cape Primrose Streptocarpus rexii (Gesneriaceae), a model plant for studying meristem-driven shoot diversity. PLANT DIRECT 2022; 6:e388. [PMID: 35388373 PMCID: PMC8977575 DOI: 10.1002/pld3.388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/26/2022] [Accepted: 01/30/2022] [Indexed: 05/16/2023]
Abstract
Cape Primroses (Streptocarpus, Gesneriaceae) are an ideal study system for investigating the genetics underlying species diversity in angiosperms. Streptocarpus rexii has served as a model species for plant developmental research for over five decades due to its unusual extended meristem activity present in the leaves. In this study, we sequenced and assembled the complete nuclear, chloroplast, and mitochondrial genomes of S. rexii using Oxford Nanopore Technologies long read sequencing. Two flow cells of PromethION sequencing resulted in 32 billion reads and were sufficient to generate a draft assembly including the chloroplast, mitochondrial and nuclear genomes, spanning 776 Mbp. The final nuclear genome assembly contained 5,855 contigs, spanning 766 Mbp of the 929-Mbp haploid genome with an N50 of 3.7 Mbp and an L50 of 57 contigs. Over 70% of the draft genome was identified as repeats. A genome repeat library of Gesneriaceae was generated and used for genome annotation, with a total of 45,045 genes annotated in the S. rexii genome. Ks plots of the paranomes suggested a recent whole genome duplication event, shared between S. rexii and Primulina huaijiensis. A new chloroplast and mitochondrial genome assembly method, based on contig coverage and identification, was developed, and successfully used to assemble both organellar genomes of S. rexii. This method was developed into a pipeline and proved widely applicable. The nuclear genome of S. rexii and other datasets generated and reported here will be invaluable resources for further research to aid in the identification of genes involved in morphological variation underpinning plant diversification.
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Affiliation(s)
- Kanae Nishii
- Royal Botanic Garden EdinburghEdinburghUK
- Kanagawa UniversityHiratsukaJapan
| | | | | | | | - Yun‐Yu Chen
- Royal Botanic Garden EdinburghEdinburghUK
- Institute of Molecular Plant SciencesThe University of EdinburghEdinburghUK
| | - Marian Thomson
- Edinburgh Genomics, Ashworth LaboratoriesThe University of EdinburghEdinburghUK
| | - Urmi Trivedi
- Edinburgh Genomics, Ashworth LaboratoriesThe University of EdinburghEdinburghUK
| | - Alex D. Twyford
- Royal Botanic Garden EdinburghEdinburghUK
- Institute of Evolutionary Biology, Ashworth LaboratoriesThe University of EdinburghEdinburghUK
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9
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Yang T, Sahu SK, Yang L, Liu Y, Mu W, Liu X, Strube ML, Liu H, Zhong B. Comparative Analyses of 3,654 Plastid Genomes Unravel Insights Into Evolutionary Dynamics and Phylogenetic Discordance of Green Plants. FRONTIERS IN PLANT SCIENCE 2022; 13:808156. [PMID: 35498716 PMCID: PMC9038950 DOI: 10.3389/fpls.2022.808156] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/07/2022] [Indexed: 05/03/2023]
Abstract
The plastid organelle is essential for many vital cellular processes and the growth and development of plants. The availability of a large number of complete plastid genomes could be effectively utilized to understand the evolution of the plastid genomes and phylogenetic relationships among plants. We comprehensively analyzed the plastid genomes of Viridiplantae comprising 3,654 taxa from 298 families and 111 orders and compared the genomic organizations in their plastid genomic DNA among major clades, which include gene gain/loss, gene copy number, GC content, and gene blocks. We discovered that some important genes that exhibit similar functions likely formed gene blocks, such as the psb family presumably showing co-occurrence and forming gene blocks in Viridiplantae. The inverted repeats (IRs) in plastid genomes have doubled in size across land plants, and their GC content is substantially higher than non-IR genes. By employing three different data sets [all nucleotide positions (nt123), only the first and second codon positions (nt12), and amino acids (AA)], our phylogenomic analyses revealed Chlorokybales + Mesostigmatales as the earliest-branching lineage of streptophytes. Hornworts, mosses, and liverworts forming a monophylum were identified as the sister lineage of tracheophytes. Based on nt12 and AA data sets, monocots, Chloranthales and magnoliids are successive sister lineages to the eudicots + Ceratophyllales clade. The comprehensive taxon sampling and analysis of different data sets from plastid genomes recovered well-supported relationships of green plants, thereby contributing to resolving some long-standing uncertainties in the plant phylogeny.
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Affiliation(s)
- Ting Yang
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Sunil Kumar Sahu
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
- *Correspondence: Sunil Kumar Sahu,
| | - Lingxiao Yang
- College of Life Sciences, Nanjing Normal University, Nanjing, China
| | - Yang Liu
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
| | - Weixue Mu
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
| | - Xin Liu
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
| | - Mikael Lenz Strube
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | - Huan Liu
- Beijing Genomics Institute Shenzhen, Yantian Beishan Industrial Zone, Shenzhen, China
- State Key Laboratory of Agricultural Genomics, Beijing Genomics Institute Shenzhen, Shenzhen, China
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Bojian Zhong
- College of Life Sciences, Nanjing Normal University, Nanjing, China
- Bojian Zhong,
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10
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Long EM, Romay MC, Ramstein G, Buckler ES, Robbins KR. Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava. FRONTIERS IN PLANT SCIENCE 2022; 13:1041925. [PMID: 37082510 PMCID: PMC10112518 DOI: 10.3389/fpls.2022.1041925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 12/06/2022] [Indexed: 05/03/2023]
Abstract
Introduction Cassava (Manihot esculenta) is an annual root crop which provides the major source of calories for over half a billion people around the world. Since its domestication ~10,000 years ago, cassava has been largely clonally propagated through stem cuttings. Minimal sexual recombination has led to an accumulation of deleterious mutations made evident by heavy inbreeding depression. Methods To locate and characterize these deleterious mutations, and to measure selection pressure across the cassava genome, we aligned 52 related Euphorbiaceae and other related species representing millions of years of evolution. With single base-pair resolution of genetic conservation, we used protein structure models, amino acid impact, and evolutionary conservation across the Euphorbiaceae to estimate evolutionary constraint. With known deleterious mutations, we aimed to improve genomic evaluations of plant performance through genomic prediction. We first tested this hypothesis through simulation utilizing multi-kernel GBLUP to predict simulated phenotypes across separate populations of cassava. Results Simulations showed a sizable increase of prediction accuracy when incorporating functional variants in the model when the trait was determined by<100 quantitative trait loci (QTL). Utilizing deleterious mutations and functional weights informed through evolutionary conservation, we saw improvements in genomic prediction accuracy that were dependent on trait and prediction. Conclusion We showed the potential for using evolutionary information to track functional variation across the genome, in order to improve whole genome trait prediction. We anticipate that continued work to improve genotype accuracy and deleterious mutation assessment will lead to improved genomic assessments of cassava clones.
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Affiliation(s)
- Evan M. Long
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States
- *Correspondence: Evan M. Long,
| | - M. Cinta Romay
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, United States
| | - Guillaume Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Edward S. Buckler
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, United States
- United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, United States
| | - Kelly R. Robbins
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, United States
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11
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Comparative Mitogenomic Analysis Reveals Gene and Intron Dynamics in Rubiaceae and Intra-Specific Diversification in Damnacanthus indicus. Int J Mol Sci 2021; 22:ijms22137237. [PMID: 34281291 PMCID: PMC8268409 DOI: 10.3390/ijms22137237] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/24/2021] [Accepted: 07/01/2021] [Indexed: 12/20/2022] Open
Abstract
The dynamic evolution of mitochondrial gene and intron content has been reported across the angiosperms. However, a reference mitochondrial genome (mitogenome) is not available in Rubiaceae. The phylogenetic utility of mitogenome data at a species level is rarely assessed. Here, we assembled mitogenomes of six Damnacanthus indicus (Rubiaceae, Rubioideae) representing two varieties (var. indicus and var. microphyllus). The gene and intron content of D. indicus was compared with mitogenomes from representative angiosperm species and mitochondrial contigs from the other Rubiaceae species. Mitogenome structural rearrangement and sequence divergence in D. indicus were analyzed in six individuals. The size of the mitogenome in D. indicus varied from 417,661 to 419,435 bp. Comparing the number of intact mitochondrial protein-coding genes in other Gentianales taxa (38), D. indicus included 32 genes representing several losses. The intron analysis revealed a shift from cis to trans splicing of a nad1 intron (nad1i728) in D. indicus and it is a shared character with the other four Rubioideae taxa. Two distinct mitogenome structures (type A and B) were identified. Two-step direct repeat-mediated recombination was proposed to explain structural changes between type A and B mitogenomes. The five individuals from two varieties in D. indicus diverged well in the whole mitogenome-level comparison with one exception. Collectively, our study elucidated the mitogenome evolution in Rubiaceae along with D. indicus and showed the reliable phylogenetic utility of the whole mitogenome data at a species-level evolution.
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Guo X, Chen F, Gao F, Li L, Liu K, You L, Hua C, Yang F, Liu W, Peng C, Wang L, Yang X, Zhou F, Tong J, Cai J, Li Z, Wan B, Zhang L, Yang T, Zhang M, Yang L, Yang Y, Zeng W, Wang B, Wei X, Xu X. CNSA: a data repository for archiving omics data. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2020:5875523. [PMID: 32705130 PMCID: PMC7377928 DOI: 10.1093/database/baaa055] [Citation(s) in RCA: 195] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/31/2020] [Accepted: 06/25/2020] [Indexed: 12/16/2022]
Abstract
With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry. Database URL: https://db.cngb.org/cnsa/.
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Affiliation(s)
- Xueqin Guo
- China National GeneBank, Shenzhen 518120, China
| | | | - Fei Gao
- China National GeneBank, Shenzhen 518120, China
| | - Ling Li
- China National GeneBank, Shenzhen 518120, China
| | - Ke Liu
- China National GeneBank, Shenzhen 518120, China
| | - Lijin You
- China National GeneBank, Shenzhen 518120, China
| | - Cong Hua
- China National GeneBank, Shenzhen 518120, China
| | - Fan Yang
- China National GeneBank, Shenzhen 518120, China
| | | | | | - Lina Wang
- China National GeneBank, Shenzhen 518120, China
| | | | - Feiyu Zhou
- China National GeneBank, Shenzhen 518120, China
| | - Jiawei Tong
- China National GeneBank, Shenzhen 518120, China
| | - Jia Cai
- China National GeneBank, Shenzhen 518120, China
| | - Zhiyong Li
- China National GeneBank, Shenzhen 518120, China
| | - Bo Wan
- China National GeneBank, Shenzhen 518120, China
| | - Lei Zhang
- China National GeneBank, Shenzhen 518120, China
| | - Tao Yang
- China National GeneBank, Shenzhen 518120, China
| | | | - Linlin Yang
- China National GeneBank, Shenzhen 518120, China
| | - Yawen Yang
- China National GeneBank, Shenzhen 518120, China
| | - Wenjun Zeng
- China National GeneBank, Shenzhen 518120, China
| | - Bo Wang
- China National GeneBank, Shenzhen 518120, China
| | | | - Xun Xu
- China National GeneBank, Shenzhen 518120, China.,BGI-Shenzhen, Shenzhen 518083, China.,Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518120, China
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Abdullah, Mehmood F, Rahim A, Heidari P, Ahmed I, Poczai P. Comparative plastome analysis of Blumea, with implications for genome evolution and phylogeny of Asteroideae. Ecol Evol 2021; 11:7810-7826. [PMID: 34188853 PMCID: PMC8216946 DOI: 10.1002/ece3.7614] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 04/09/2021] [Indexed: 12/25/2022] Open
Abstract
The genus Blumea (Asteroideae, Asteraceae) comprises about 100 species, including herbs, shrubs, and small trees. Previous studies have been unable to resolve taxonomic issues and the phylogeny of the genus Blumea due to the low polymorphism of molecular markers. Therefore, suitable polymorphic regions need to be identified. Here, we de novo assembled plastomes of the three Blumea species B. oxyodonta, B. tenella, and B. balsamifera and compared them with 26 other species of Asteroideae after correction of annotations. These species have quadripartite plastomes with similar gene content, genome organization, and inverted repeat contraction and expansion comprising 113 genes, including 80 protein-coding, 29 transfer RNA, and 4 ribosomal RNA genes. The comparative analysis of codon usage, amino acid frequency, microsatellite repeats, oligonucleotide repeats, and transition and transversion substitutions has revealed high resemblance among the newly assembled species of Blumea. We identified 10 highly polymorphic regions with nucleotide diversity above 0.02, including rps16-trnQ, ycf1, ndhF-rpl32, petN-psbM, and rpl32-trnL, and they may be suitable for the development of robust, authentic, and cost-effective markers for barcoding and inference of the phylogeny of the genus Blumea. Among these highly polymorphic regions, five regions also co-occurred with oligonucleotide repeats and support use of repeats as a proxy for the identification of polymorphic loci. The phylogenetic analysis revealed a close relationship between Blumea and Pluchea within the tribe Inuleae. At tribe level, our phylogeny supports a sister relationship between Astereae and Anthemideae rooted as Gnaphalieae, Calenduleae, and Senecioneae. These results are contradictory to recent studies which reported a sister relationship between "Senecioneae and Anthemideae" and "Astereae and Gnaphalieae" or a sister relationship between Astereae and Gnaphalieae rooted as Calenduleae, Anthemideae, and then Senecioneae using nuclear genome sequences. The conflicting phylogenetic signals observed at the tribal level between plastidt and nuclear genome data require further investigation.
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Affiliation(s)
- Abdullah
- Department of BiochemistryFaculty of Biological SciencesQuaid‐i‐Azam UniversityIslamabadPakistan
| | - Furrukh Mehmood
- Department of BiochemistryFaculty of Biological SciencesQuaid‐i‐Azam UniversityIslamabadPakistan
| | - Abdur Rahim
- Department of ZoologyPost Graduate College NowsheraAbdul Wali Khan UniversityMardanPakistan
| | - Parviz Heidari
- Faculty of AgricultureShahrood University of TechnologyShahroodIran
| | - Ibrar Ahmed
- Alpha Genomics Private LimitedIslamabadPakistan
| | - Péter Poczai
- Finnish Museum of Natural HistoryUniversity of HelsinkiHelsinkiFinland
- Faculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinkiFinland
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Kamenya SN, Mikwa EO, Song B, Odeny DA. Genetics and breeding for climate change in Orphan crops. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1787-1815. [PMID: 33486565 PMCID: PMC8205878 DOI: 10.1007/s00122-020-03755-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/16/2020] [Indexed: 05/17/2023]
Abstract
Climate change is rapidly changing how we live, what we eat and produce, the crops we breed and the target traits. Previously underutilized orphan crops that are climate resilient are receiving much attention from the crops research community, as they are often the only crops left in the field after periods of extreme weather conditions. There are several orphan crops with incredible resilience to biotic and abiotic stresses. Some are nutritious, while others provide good sources of biofuel, medicine and other industrial raw materials. Despite these benefits, orphan crops are still lacking in important genetic and genomic resources that could be used to fast track their improvement and make their production profitable. Progress has been made in generating draft genomes of at least 28 orphan crops over the last decade, thanks to the reducing cost of sequencing. The implementation of a structured breeding program that takes advantage of additional modern crop improvement tools such as genomic selection, speed breeding, genome editing, high throughput phenotyping and breeding digitization would make rapid improvement of these orphan crops possible, but would require coordinated research investment. Other production challenges such as lack of adequate germplasm conservation, poor/non-existent seed systems and agricultural extension services, as well as poor marketing channels will also need to be improved if orphan crops were to be profitable. We review the importance of breeding orphan crops under the increasing effects of climate change, highlight existing gaps that need to be addressed and share some lessons to be learned from major crops.
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Affiliation(s)
- Sandra Ndagire Kamenya
- African Center of Excellence in Agroecology and Livelihood Systems, Uganda Martyrs University, Kampala, Uganda
| | - Erick Owuor Mikwa
- The International Crops Research Institute for the Semi-Arid Tropics - Eastern and Southern Africa, Nairobi, Kenya
| | - Bo Song
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518060, People's Republic of China.
| | - Damaris Achieng Odeny
- The International Crops Research Institute for the Semi-Arid Tropics - Eastern and Southern Africa, Nairobi, Kenya.
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15
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Zhang XF, Landis JB, Wang HX, Zhu ZX, Wang HF. Comparative analysis of chloroplast genome structure and molecular dating in Myrtales. BMC PLANT BIOLOGY 2021; 21:219. [PMID: 33992095 PMCID: PMC8122561 DOI: 10.1186/s12870-021-02985-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 04/19/2021] [Indexed: 05/24/2023]
Abstract
BACKGROUND Myrtales is a species rich branch of Rosidae, with many species having important economic, medicinal, and ornamental value. At present, although there are reports on the chloroplast structure of Myrtales, a comprehensive analysis of the chloroplast structure of Myrtales is lacking. Phylogenetic and divergence time estimates of Myrtales are mostly constructed by using chloroplast gene fragments, and the support for relationships is low. A more reliable method to reconstruct the species divergence time and phylogenetic relationships is by using whole chloroplast genomes. In this study, we comprehensively analyzed the structural characteristics of Myrtales chloroplasts, compared variation hotspots, and reconstructed the species differentiation time of Myrtales with four fossils and one secondary calibration point. RESULTS A total of 92 chloroplast sequences of Myrtales, representing six families, 16 subfamilies and 78 genera, were obtained including nine newly sequenced chloroplasts by whole genome sequencing. Structural analyses showed that the chloroplasts range in size between 152,214-171,315 bp and exhibit a typical four part structure. The IR region is between 23,901-36,747 bp, with the large single copy region spanning 83,691-91,249 bp and the small single copy region spanning 11,150-19,703 bp. In total, 123-133 genes are present in the chloroplasts including 77-81 protein coding genes, four rRNA genes and 30-31 tRNA genes. The GC content was 36.9-38.9%, with the average GC content being 37%. The GC content in the LSC, SSC and IR regions was 34.7-37.3%, 30.6-36.8% and 39.7-43.5%, respectively. By analyzing nucleotide polymorphism of the chloroplast, we propose 21 hypervariable regions as potential DNA barcode regions for Myrtales. Phylogenetic analyses showed that Myrtales and its corresponding families are monophyletic, with Combretaceae and the clade of Onagraceae + Lythraceae (BS = 100%, PP = 1) being sister groups. The results of molecular dating showed that the crown of Myrtales was most likely to be 104.90 Ma (95% HPD = 87.88-114.18 Ma), and differentiated from the Geraniales around 111.59 Ma (95% HPD = 95.50-118.62 Ma). CONCLUSIONS The chloroplast genome structure of Myrtales is similar to other angiosperms and has a typical four part structure. Due to the expansion and contraction of the IR region, the chloroplast genome sizes in this group are slightly different. The variation of noncoding regions of the chloroplast genome is larger than those of coding regions. Phylogenetic analysis showed that Combretaceae and Onagraceae + Lythraceae were well supported as sister groups. Molecular dating indicates that the Myrtales crown most likely originated during the Albian age of the Lower Cretaceous. These chloroplast genomes contribute to the study of genetic diversity and species evolution of Myrtales, while providing useful information for taxonomic and phylogenetic studies of Myrtales.
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Affiliation(s)
- Xiao-Feng Zhang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Jacob B Landis
- School of Integrative Plant Science, Section of Plant Biology and the L.H. Bailey Hortorium, Cornell University, Ithaca, NY, 14850, USA
- BTI Computational Biology Center, Boyce Thompson Institute, Ithaca, NY, 14853, USA
| | - Hong-Xin Wang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Zhi-Xin Zhu
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, 570228, China
| | - Hua-Feng Wang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, College of Tropical Crops, Hainan University, Haikou, 570228, China.
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16
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Wang C, Wang T, Yin M, Eller F, Liu L, Brix H, Guo W. Transcriptome Analysis of Tetraploid and Octoploid Common Reed ( Phragmites australis). FRONTIERS IN PLANT SCIENCE 2021; 12:653183. [PMID: 34025698 PMCID: PMC8132968 DOI: 10.3389/fpls.2021.653183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 04/06/2021] [Indexed: 06/12/2023]
Abstract
Polyploidization in plants is thought to have occurred as coping mechanism with environmental stresses. Polyploidization-driven adaptation is often achieved through interplay of gene networks involved in differentially expressed genes, which triggers the plant to evolve special phenotypic traits for survival. Phragmites australis is a cosmopolitan species with highly variable phenotypic traits and high adaptation capacity to various habitats. The species' ploidy level varies from 3x to 12x, thus it is an ideal organism to investigate the molecular evolution of polyploidy and gene regulation mediated by different numbers of chromosome copies. In this study, we used high-throughput RNAseq data as a tool, to analyze the gene expression profiles in tetraploid and octoploid P. australis. The estimated divergence time between tetraploid and octoploid P. australis was dated to the border between Pliocene and Pleistocene. This study identified 439 up- and 956 down-regulated transcripts in tetraploids compared to octoploids. Gene ontology and pathway analysis revealed that tetraploids tended to express genes responsible for reproduction and seed germination to complete the reproduction cycle early, and expressed genes related to defense against UV-B light and fungi, whereas octoploids expressed mainly genes related to thermotolerance. Most differentially expressed genes were enriched in chaperones, folding catalysts and protein processing in endoplasmic reticulum pathways. Multiple biased isoform usage of the same gene was detected in differentially expressed genes, and the ones upregulated in octoploids were related to reduced DNA methylation. Our study provides new insights into the role of polyploidization on environmental responses and potential stress tolerance in grass species.
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Affiliation(s)
- Cui Wang
- Institute of Ecology and Biodiversity, Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, School of Life Sciences, Shandong University, Qingdao, China
- Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Tong Wang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao, China
| | - Meiqi Yin
- Institute of Ecology and Biodiversity, Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, School of Life Sciences, Shandong University, Qingdao, China
| | | | - Lele Liu
- Institute of Ecology and Biodiversity, Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, School of Life Sciences, Shandong University, Qingdao, China
| | - Hans Brix
- Department of Biology, Aarhus University, Aarhus, Denmark
| | - Weihua Guo
- Institute of Ecology and Biodiversity, Shandong Provincial Engineering and Technology Research Center for Vegetation Ecology, School of Life Sciences, Shandong University, Qingdao, China
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Jorrin Novo JV. Proteomics and plant biology: contributions to date and a look towards the next decade. Expert Rev Proteomics 2021; 18:93-103. [PMID: 33770454 DOI: 10.1080/14789450.2021.1910028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
INTRODUCTION This review presents the view of the author, that is opinionable and even speculative, on the field of proteomics, its application to plant biology knowledge, and translation to biotechnology. Written in a more academic than scientific style, it is based on past original and review articles by the author´s group, and those published by leading scientists in the last two years. AREAS COVERED Starting with a general definition and references to historical milestones, it covers sections devoted to the different platforms employed, the plant biology discourse in the protein language, challenges and future prospects, ending with the author opinion. EXPERT OPINION In 25 years, five proteomics platform generations have appeared. We are now moving from proteomics to Systems Biology. While feasible with model organisms, proteomics of orphan species remains challenging. Proteomics, even in its simplest approach, sheds light on plant biological processes, central dogma, and molecular bases of phenotypes of interest, and it can be translated to areas such as food traceability and allergen detection. Proteomics should be validated and optimized to each experimental system, objectives, and hypothesis. It has limitations, artifacts, and biases. We should not blindly accept proteomics data and just create a list of proteins, networks, and avoid speculative biological interpretations. From the hundred to thousand proteins identified and quantified, it is important to obtain a focus and validate some of them, otherwise it is merely. We are starting to have the protein pieces, so let, from now, build the proteomics and biological puzzle.
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Affiliation(s)
- J V Jorrin Novo
- Dpt. Biochemistry and Molecular Biology, Agroforestry and Plant Biochemistry, Proteomics and Systems Biology, ETSIAM, University of Cordoba, Cordoba , Spain
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Niissalo MA, Leong-Škorničková J, Šída O, Khew GS. Population genomics reveal apomixis in a novel system: uniclonal female populations dominate the tropical forest herb family, Hanguanaceae (Commelinales). AOB PLANTS 2020; 12:plaa053. [PMID: 33204406 PMCID: PMC7653639 DOI: 10.1093/aobpla/plaa053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 09/23/2020] [Indexed: 06/11/2023]
Abstract
The abundance of apomixis in tropical plant genera is poorly understood, and this affects the understanding of speciation and evolution. Hanguanaceae is a tropical monogeneric, dioecious plant family. All but two species are solitary herbs with no capability to spread vegetatively. Viable seeds are often produced when males have not been observed. Our aim was to investigate the presence of apomixis in Hanguana. We used reduced representation genomics to study phylogenetics and genetic variability in all populations of Hanguana in Singapore. We measured genome sizes and estimated ploidy levels in 10 species. Almost all taxa tested were genetically uniform (uniclonal) regardless of the extent of their distribution. The distribution of single clones over distinct localities supports our hypothesis of apomictic reproduction. Only one sexually reproducing native species was detected. Triploid and pentaploid states support our hypothesis that the type of apomixis in Hanguana is gametophytic. Population genomics tools offer a quick and cost-effective way of detecting excess clonality and thereby inferring apomixis. In the case of Hanguana, the presence of male plants is a strong indicator of sexual reproduction, whereas genome triplication is indicative of apomictic reproduction.
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Affiliation(s)
- Matti A Niissalo
- Singapore Botanic Gardens, National Parks Board Singapore, Singapore, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | | | - Otakar Šída
- Department of Botany, National Museum, Cirkusová, Prague, Czech Republic
| | - Gillian S Khew
- Singapore Botanic Gardens, National Parks Board Singapore, Singapore, Singapore
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Bohra A, Chand Jha U, Godwin ID, Kumar Varshney R. Genomic interventions for sustainable agriculture. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:2388-2405. [PMID: 32875704 PMCID: PMC7680532 DOI: 10.1111/pbi.13472] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/21/2020] [Accepted: 08/16/2020] [Indexed: 05/05/2023]
Abstract
Agricultural production faces a Herculean challenge to feed the increasing global population. Food production systems need to deliver more with finite land and water resources while exerting the least negative influence on the ecosystem. The unpredictability of climate change and consequent changes in pests/pathogens dynamics aggravate the enormity of the challenge. Crop improvement has made significant contributions towards food security, and breeding climate-smart cultivars are considered the most sustainable way to accelerate food production. However, a fundamental change is needed in the conventional breeding framework in order to respond adequately to the growing food demands. Progress in genomics has provided new concepts and tools that hold promise to make plant breeding procedures more precise and efficient. For instance, reference genome assemblies in combination with germplasm sequencing delineate breeding targets that could contribute to securing future food supply. In this review, we highlight key breakthroughs in plant genome sequencing and explain how the presence of these genome resources in combination with gene editing techniques has revolutionized the procedures of trait discovery and manipulation. Adoption of new approaches such as speed breeding, genomic selection and haplotype-based breeding could overcome several limitations of conventional breeding. We advocate that strengthening varietal release and seed distribution systems will play a more determining role in delivering genetic gains at farmer's field. A holistic approach outlined here would be crucial to deliver steady stream of climate-smart crop cultivars for sustainable agriculture.
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Affiliation(s)
- Abhishek Bohra
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Uday Chand Jha
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Ian D. Godwin
- Centre for Crop ScienceQueensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandBrisbaneQldAustralia
| | - Rajeev Kumar Varshney
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- The UWA Institute of AgricultureThe University of Western AustraliaPerthAustralia
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20
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Co-haplotyping symbiont and host to unravel invasion pathways of the exotic pest Halyomorpha halys in Italy. Sci Rep 2020; 10:18441. [PMID: 33116256 PMCID: PMC7595193 DOI: 10.1038/s41598-020-75519-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 10/06/2020] [Indexed: 01/28/2023] Open
Abstract
The brown marmorated stink bug Halyomorpha halys (Stål) is a globally invasive species that harbours the primary bacterial symbiont ‘Candidatus Pantoea carbekii’. In this work, P. carbekii was used as another genetic marker to investigate the biodiversity and biogeographical patterns of this important pest, in native and newly invaded areas, especially in Italy. The correlation between the genetic structure of the symbiont and that of its host was studied through the analyses of one bacterial and one host marker, the putative pseudogene ΔybgF and the mitochondrial gene COI, respectively. As a result, five new P. carbekii haplotypes were identified, and an association pattern between host-symbiont haplotypes was observed. Host species showed higher haplotype diversity than symbiont, which can be expected in a long term host-symbiont association. Populations from the north-eastern Italy showed the highest values of genetic diversity for both markers, highlighting that this particular Italian area could be the result of multiple ongoing introductions. Moreover, some of the symbiont-host haplotypes observed were shared only by populations from north-eastern Italy and native areas, especially Japan, suggesting further introductions from this native country to Italy. Overall, our findings improve the understanding of the potential origin of multiple accidental introductions of H. halys in Italy.
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Ouyang W, Cao Z, Xiong D, Li G, Li X. Decoding the plant genome: From epigenome to 3D organization. J Genet Genomics 2020; 47:425-435. [PMID: 33023833 DOI: 10.1016/j.jgg.2020.06.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 05/25/2020] [Accepted: 06/01/2020] [Indexed: 12/25/2022]
Abstract
The linear genome of eukaryotes is partitioned into diverse chromatin states and packaged into a three-dimensional (3D) structure, which has functional implications in DNA replication, DNA repair, and transcriptional regulation. Over the past decades, research on plant functional genomics and epigenomics has made great progress, with thousands of genes cloned and molecular mechanisms of diverse biological processes elucidated. Recently, 3D genome research has gradually attracted great attention of many plant researchers. Herein, we briefly review the progress in genomic and epigenomic research in plants, with a focus on Arabidopsis and rice, and summarize the currently used technologies and advances in plant 3D genome organization studies. We also discuss the relationships between one-dimensional linear genome sequences, epigenomic states, and the 3D chromatin architecture. This review provides basis for future research on plant 3D genomics.
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Affiliation(s)
- Weizhi Ouyang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhilin Cao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China; Department of Resources and Environment, Henan University of Engineering, Zhengzhou, 451191, China
| | - Dan Xiong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guoliang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Xingwang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
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22
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Mu W, Wei J, Yang T, Fan Y, Cheng L, Yang J, Mu R, Liu J, Zhao J, Sun W, Xu X, Liu X, Drmanac R, Liu H. The draft genome assembly of the critically endangered Nyssa yunnanensis, a plant species with extremely small populations endemic to Yunnan Province, China. GIGABYTE 2020; 2020:gigabyte4. [PMID: 36824597 PMCID: PMC9632040 DOI: 10.46471/gigabyte.4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 08/14/2020] [Indexed: 01/04/2023] Open
Abstract
Nyssa yunnanensis is a deciduous tree species in the family Nyssaceae within the order Cornales. As only eight individual trees and two populations have been recorded in China's Yunnan province, this species has been listed among China's national Class I protection species since 1999 and also among 120 PSESP (Plant Species with Extremely Small Populations) in the Implementation Plan of Rescuing and Conserving China's Plant Species with Extremely Small Populations (PSESP) (2011-2-15). Here, we present the draft genome assembly of N. yunnanensis. Using 10X Genomics linked-reads sequencing data, we carried out the de novo assembly and annotation analysis. The N. yunnanensis genome assembly is 1475 Mb in length, containing 288,519 scaffolds with a scaffold N50 length of 985.59 kb. Within the assembled genome, 799.51 Mb was identified as repetitive elements, accounting for 54.24% of the sequenced genome, and a total of 39,803 protein-coding genes were predicted. With the genomic characteristics of N. yunnanensis available, our study might facilitate future conservation biology studies to help protect this extremely threatened tree species.
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Affiliation(s)
- Weixue Mu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China, Corresponding author. E-mail:
| | - Jinpu Wei
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Ting Yang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yannan Fan
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Le Cheng
- BGI-Yunnan, BGI-Shenzhen, Kunming, 650106, China
| | - Jinlong Yang
- BGI-Yunnan, BGI-Shenzhen, Kunming, 650106, China
| | - Ranchang Mu
- Forestry Bureau of Ruili, Yunnan Dehong, Ruili 678600, China
| | - Jie Liu
- Forestry Bureau of Ruili, Yunnan Dehong, Ruili 678600, China
| | - Jianming Zhao
- Forestry Bureau of Ruili, Yunnan Dehong, Ruili 678600, China
| | - Weibang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650204, Yunnan, China
| | - Xun Xu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China,Guangdong Provincial Key Laboratory of Genome Read and Write, Shenzhen 518083, China
| | - Xin Liu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Radoje Drmanac
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China,Complete Genomics Inc., 2904 Orchard Pkwy, San Jose, CA 95134, USA
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China,Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
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Henry RJ. Innovations in plant genetics adapting agriculture to climate change. CURRENT OPINION IN PLANT BIOLOGY 2020; 56:168-173. [PMID: 31836470 DOI: 10.1016/j.pbi.2019.11.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 11/01/2019] [Accepted: 11/20/2019] [Indexed: 05/25/2023]
Abstract
Developing new genotypes of plants is one of the key options for adaptation of agriculture to climate change. Plants may be required to provide resilience in changed climates or support the migration of agriculture to new regions. Very different genotypes may be required to perform in the modified environments of protected agriculture. Consumers will continue to demand taste, convenience, healthy and safe food and sustainably and ethically produced food, despite the greater challenges of climate in the future. Improving the nutritional value of foods in response to climate change is a significant challenge. Genomic sequences of relevant germplasm and an understanding of the functional role of alleles controlling key traits will be an enabling platform for this innovation.
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Affiliation(s)
- Robert J Henry
- ARC Centre of Excellence for Plant Success in Nature and Agriculture, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld 4072 Australia.
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Fan Y, Sahu SK, Yang T, Mu W, Wei J, Cheng L, Yang J, Mu R, Liu J, Zhao J, Zhao Y, Xu X, Liu X, Liu H. Dissecting the genome of star fruit ( Averrhoa carambola L.). HORTICULTURE RESEARCH 2020; 7:94. [PMID: 32528706 PMCID: PMC7261804 DOI: 10.1038/s41438-020-0306-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 01/03/2020] [Accepted: 02/14/2020] [Indexed: 05/20/2023]
Abstract
Averrhoa carambola is commonly known as star fruit because of its peculiar shape, and its fruit is a rich source of minerals and vitamins. It is also used in traditional medicines in countries such as India, China, the Philippines, and Brazil for treating various ailments, including fever, diarrhea, vomiting, and skin disease. Here, we present the first draft genome of the Oxalidaceae family, with an assembled genome size of 470.51 Mb. In total, 24,726 protein-coding genes were identified, and 16,490 genes were annotated using various well-known databases. The phylogenomic analysis confirmed the evolutionary position of the Oxalidaceae family. Based on the gene functional annotations, we also identified enzymes that may be involved in important nutritional pathways in the star fruit genome. Overall, the data from this first sequenced genome in the Oxalidaceae family provide an essential resource for nutritional, medicinal, and cultivational studies of the economically important star-fruit plant.
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Affiliation(s)
- Yannan Fan
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
| | - Sunil Kumar Sahu
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
| | - Ting Yang
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
| | - Weixue Mu
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
| | - Jinpu Wei
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
| | - Le Cheng
- BGI-Yunnan, BGI-Shenzhen, 650106 Kunming, China
| | | | - Ranchang Mu
- Forestry Bureau of Ruili, Yunnan Dehong, 678600 Ruili, China
| | - Jie Liu
- Forestry Bureau of Ruili, Yunnan Dehong, 678600 Ruili, China
| | - Jianming Zhao
- Forestry Bureau of Ruili, Yunnan Dehong, 678600 Ruili, China
| | | | - Xun Xu
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, 518120 Shenzhen, China
| | - Xin Liu
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
- BGI-Fuyang, BGI-Shenzhen, 236009 Fuyang, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, China National GeneBank, BGI-Shenzhen, 518120 Shenzhen, China
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
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25
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Hao DC, Xiao PG. Pharmaceutical resource discovery from traditional medicinal plants: Pharmacophylogeny and pharmacophylogenomics. CHINESE HERBAL MEDICINES 2020; 12:104-117. [PMID: 36119793 PMCID: PMC9476761 DOI: 10.1016/j.chmed.2020.03.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/11/2019] [Accepted: 09/25/2019] [Indexed: 01/25/2023] Open
Abstract
The worldwide botanical and medicinal culture diversity are astonishing and constitute a Pierian spring for innovative drug R&D. Here, the latest awareness and the perspectives of pharmacophylogeny and pharmacophylogenomics, as well as their expanding utility in botanical drug R&D, are systematically summarized and highlighted. Chemotaxonomy is based on the fact that closely related plants contain the same or similar chemical profiles. Correspondingly, it is better to combine morphological characters, DNA markers and chemical markers in the inference of medicinal plant phylogeny. Medicinal plants within the same phylogenetic groups may have the same or similar therapeutic effects, thus forming the core of pharmacophylogeny. Here we systematically review and comment on the versatile applications of pharmacophylogeny in (1) looking for domestic resources of imported drugs, (2) expanding medicinal plant resources, (3) quality control, identification and expansion of herbal medicines, (4) predicting the chemical constituents or active ingredients of herbal medicine and assisting in the identification and determination of chemical constituents, (5) the search for new drugs sorting out, and (6) summarizing and improving herbal medicine experiences, etc. Such studies should be enhanced within the context of deeper investigations of molecular biology and genomics of traditional medicinal plants, phytometabolites and metabolomics, and ethnomedicine-based pharmacological activity, thus enabling the sustainable conservation and utilization of traditional medicinal resources.
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Affiliation(s)
- Da-cheng Hao
- Biotechnology Institute, School of Environment and Chemical Engineering, Dalian Jiaotong University, Dalian 116028, China
- Corresponding author.
| | - Pei-gen Xiao
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Beijing 100193, China
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26
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Shi Y, Wei Y, Feng X, Liu J, Jiang Z, Ou F, Wei H, Lv G, Wan X, Wang Z, Yang Y. Distribution, genetic characteristics and public health implications of Triatoma rubrofasciata, the vector of Chagas disease in Guangxi, China. Parasit Vectors 2020; 13:33. [PMID: 31959216 PMCID: PMC6972020 DOI: 10.1186/s13071-020-3903-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 01/08/2020] [Indexed: 12/26/2022] Open
Abstract
Background Triatomines are natural vectors of Chagas disease and are mainly prevalent in the Americas. In China, previous data from decades ago showed that there were two species of triatomine bugs, Triatoma rubrofasciata and T. sinica. However, the distribution, genetic characteristics and public health implications of triatomines in China are still relatively unknown. In order to gain knowledge on the distribution, genetic characteristics and public health implications of the triatomines in Guangxi, China, an entomological-epidemiological study and genetic research was conducted. Methods Different methods were used to elucidate the distribution of triatomines in Guangxi including consultations with county-level Center for Disease Prevention and Control staff and village doctors, the distribution of educational material on triatomines though the internet and social media apps such as Wechat and QQ, and conducting manual inspections and light trapping to collect triatomines. The morphological characteristics of the collected triatomines were identified under light microscopy. The mitochondrial 16S rRNA, cytochrome b (cytb) genes and nuclear 28S rRNA gene were amplified, sequenced and used in phylogenetic analyses. Results A total of 305 triatomines were captured from 54 different sites in 13 cities in Guangxi. All collected bugs were identified as T. rubrofasciata based on morphology. Most triatomine collection sites were around or inside houses. Four triatomines bite cases were observed during the investigation indicating that triatomine bites are common, the bites can cause serious anaphylaxis and skin papules and urticaria, suggesting a systemic skin response. The 16S rRNA, 28S rRNA and cytb sequence analyses of T. rubrofasciata from Guangxi and other countries showed that T. rubrofasciata sequences from different regions exhibit a high similarity, with no geographical differences. The phylogenetic tree based on the 16S rRNA and cytb genes showed that T. rubrofasciata sequences from different regions and continents were in the same cluster, indicating no differentiation among different geographical populations. Conclusions Our study showed that T. rubrofasciata is widely distributed in Guangxi and that people are commonly bitten by this insect in some regions. This highlights the need to enhance surveillance for and control of T. rubrofasciata and to strengthen the monitoring of imported Trypanosoma cruzi in China. The 16S rRNA, 28S rRNA and cytb sequence analyses of T. rubrofasciata from different regions and continents suggested that T. rubrofasciata populations exhibit high similarity, and the clustering in the phylogenetic analyses indicates that T. rubrofasciata has a close ancestor originating in the Americas.
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Affiliation(s)
- Yunliang Shi
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Yaobao Wei
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Xiangyang Feng
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Jianfeng Liu
- Jiangsu Institute of Parasitic Diseases, Wuxi, 214064, China
| | - Zhihua Jiang
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Fangqi Ou
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Haiyan Wei
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Guoli Lv
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Xiaoling Wan
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China
| | - Ziyue Wang
- Guangxi Medical University, Nanning, 530021, China
| | - Yichao Yang
- Institute of Parasitic Disease Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, 530028, China.
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Aubry S. The Future of Digital Sequence Information for Plant Genetic Resources for Food and Agriculture. FRONTIERS IN PLANT SCIENCE 2019; 10:1046. [PMID: 31543884 PMCID: PMC6728410 DOI: 10.3389/fpls.2019.01046] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/29/2019] [Indexed: 05/27/2023]
Abstract
The recent debates on the legal status of "digital sequence information" (DSI) at the international level could have extensive consequences for the future of agriculture and food security. A large majority of recent advances in biology, medicine, or agriculture were achieved by sharing and mining of freely accessible sequencing data. It is most probably because of the tremendous success of modern genomics and advances of synthetic biology that concerns were raised about possible fair and equitable ways of sharing data. The DSI concept is relatively new, and all concerned parties agreed upon the need for a clear definition. For example, the extent to which DSI understanding is limited only to genetic sequence data has to be clarified. In this paper, I focus on a subset of DSI essential to humankind: the DSI originating from plant genetic resources for food and agriculture (PGRFA). Two international agreements shape the conservation and use of plant genetic resources: the Convention on Biodiversity and the International Treaty for Plant Genetic Resources for Food and Agriculture. In an attempt to mobilize DSI users and producers involved in research, breeding, and conservation, I describe here how the increasing amount of genomic data, information, and studies interact with the existing legal framework at the global level. Using possible scenarios, I will emphasize the complexity of the issues surrounding DSI for PGRFA and propose potential ways forward for developing an inclusive governance and fair use of these genetic resources.
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Affiliation(s)
- Sylvain Aubry
- Department of Plant and Microbial Science, University of Zurich, Zurich, Switzerland
- Section Genetic Resources and Technology, Swiss Federal Office for Agriculture, Bern, Switzerland
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28
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Jung H, Winefield C, Bombarely A, Prentis P, Waterhouse P. Tools and Strategies for Long-Read Sequencing and De Novo Assembly of Plant Genomes. TRENDS IN PLANT SCIENCE 2019; 24:700-724. [PMID: 31208890 DOI: 10.1016/j.tplants.2019.05.003] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Revised: 05/01/2019] [Accepted: 05/10/2019] [Indexed: 05/16/2023]
Abstract
The commercial release of third-generation sequencing technologies (TGSTs), giving long and ultra-long sequencing reads, has stimulated the development of new tools for assembling highly contiguous genome sequences with unprecedented accuracy across complex repeat regions. We survey here a wide range of emerging sequencing platforms and analytical tools for de novo assembly, provide background information for each of their steps, and discuss the spectrum of available options. Our decision tree recommends workflows for the generation of a high-quality genome assembly when used in combination with the specific needs and resources of a project.
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Affiliation(s)
- Hyungtaek Jung
- Centre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD 4001, Australia.
| | - Christopher Winefield
- Department of Wine, Food, and Molecular Biosciences, Lincoln University, 7647 Christchurch, New Zealand
| | - Aureliano Bombarely
- Department of Bioscience, University of Milan, Milan 20133, Italy; School of Plants and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA
| | - Peter Prentis
- School of Earth, Environmental, and Biological Sciences, Queensland University of Technology, Brisbane, QLD, 4001, Australia
| | - Peter Waterhouse
- Centre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD 4001, Australia; School of Biological Sciences, University of Sydney, Sydney, NSW 2006, Australia.
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