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Chenna S, Ivanov M, Nielsen TK, Chalenko K, Olsen E, Jørgensen K, Sandelin A, Marquardt S. A data-driven genome annotation approach for cassava. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38831668 DOI: 10.1111/tpj.16856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 05/13/2024] [Accepted: 05/17/2024] [Indexed: 06/05/2024]
Abstract
Genome annotation files play a critical role in dictating the quality of downstream analyses by providing essential predictions for gene positions and structures. These files are pivotal in decoding the complex information encoded within DNA sequences. Here, we generated experimental data resolving RNA 5'- and 3'-ends as well as full-length RNAs for cassava TME12 sticklings in ambient temperature and cold. We used these data to generate genome annotation files using the TranscriptomeReconstructoR (TR) tool. A careful comparison to high-quality genome annotations suggests that our new TR genome annotations identified additional genes, resolved the transcript boundaries more accurately and identified additional RNA isoforms. We enhanced existing cassava genome annotation files with the information from TR that maintained the different transcript models as RNA isoforms. The resultant merged annotation was subsequently utilized for comprehensive analysis. To examine the effects of genome annotation files on gene expression studies, we compared the detection of differentially expressed genes during cold using the same RNA-seq data but alternative genome annotation files. We found that our merged genome annotation that included cold-specific TR gene models identified about twice as many cold-induced genes. These data indicate that environmentally induced genes may be missing in off-the-shelf genome annotation files. In conclusion, TR offers the opportunity to enhance crop genome annotations with implications for the discovery of differentially expressed candidate genes during plant-environment interactions.
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Affiliation(s)
- Swetha Chenna
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Maxim Ivanov
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Tue Kjærgaard Nielsen
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Karina Chalenko
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Evy Olsen
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Kirsten Jørgensen
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
| | - Albin Sandelin
- Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, Copenhagen N, DK2200, Denmark
- Biotech Research and Innovation Centre, University of Copenhagen, Ole Maaløes Vej 5, Copenhagen N, DK2200, Denmark
| | - Sebastian Marquardt
- Department of Plant and Environmental Sciences, Copenhagen Plant Science Centre, University of Copenhagen, Thorvaldsensvej 40, Frederiskberg C, 1871, Denmark
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Pathirana R, Carimi F. Plant Biotechnology-An Indispensable Tool for Crop Improvement. PLANTS (BASEL, SWITZERLAND) 2024; 13:1133. [PMID: 38674542 PMCID: PMC11054891 DOI: 10.3390/plants13081133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
Traditional plant breeding has helped to increase food production dramatically over the past five decades, and many countries have managed to produce enough food for the growing population, particularly in the developing world [...].
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Affiliation(s)
- Ranjith Pathirana
- School of Agriculture, Food and Wine, Waite Campus, University of Adelaide, Urrbra, SA 5064, Australia
| | - Francesco Carimi
- Istituto di Bioscienze e BioRisorse (IBBR), Consiglio Nazionale delle Ricerche, Via Ugo la Malfa, 153, 90146 Palermo, Italy;
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Landi M, Shah T, Falquet L, Niazi A, Stavolone L, Bongcam-Rudloff E, Gisel A. Haplotype-resolved genome of heterozygous African cassava cultivar TMEB117 (Manihot esculenta). Sci Data 2023; 10:887. [PMID: 38071206 PMCID: PMC10710486 DOI: 10.1038/s41597-023-02800-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
Cassava (Manihot esculenta Crantz) is a vital tropical root crop providing essential dietary energy to over 800 million people in tropical and subtropical regions. As a climate-resilient crop, its significance grows as the human population expands. However, yield improvement faces challenges from biotic and abiotic stress and limited breeding. Advanced sequencing and assembly techniques enabled the generation of a highly accurate, nearly complete, haplotype-resolved genome of the African cassava cultivar TMEB117. It is the most accurate cassava genome sequence to date with a base-level accuracy of QV > 64, N50 > 35 Mbp, and 98.9% BUSCO completeness. Over 60% of the genome comprises repetitive elements. We predicted over 45,000 gene models for both haplotypes. This achievement offers valuable insights into the heterozygosity genome organization of the cassava genome, with improved accuracy, completeness, and phased genomes. Due to its high susceptibility to African Cassava Mosaic Virus (ACMV) infections compared to other cassava varieties, TMEB117 provides an ideal reference for studying virus resistance mechanisms, including epigenetic variations and smallRNA expressions.
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Affiliation(s)
- Michael Landi
- Department of Animal Breeding and Genetics, Bioinformatics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- International Institute of Tropical Agriculture, Nairobi, Kenya.
| | - Trushar Shah
- International Institute of Tropical Agriculture, Nairobi, Kenya
| | - Laurent Falquet
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Adnan Niazi
- Department of Animal Breeding and Genetics, Bioinformatics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Livia Stavolone
- International Institute of Tropical Agriculture, Ibadan, Nigeria
- Institute for Sustainable Plant Protection, Consiglio Nazionale delle Ricerche, Bari, Italy
| | - Erik Bongcam-Rudloff
- Department of Animal Breeding and Genetics, Bioinformatics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Andreas Gisel
- International Institute of Tropical Agriculture, Ibadan, Nigeria.
- Institute for Biomedical Technologies, Consiglio Nazionale delle Ricerche, Bari, Italy.
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