Optimization and application of non-native Phragmites australis transcriptome assemblies.
Phragmites australis (common reed) has a cosmopolitan distribution and has been suggested as a model organism for the study of invasive plant species. In North America, the non-native subspecies (ssp. australis) is widely distributed across the contiguous 48 states in the United States and large par...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0280354 |
| _version_ | 1797942921054388224 |
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| author | Feng Tao Chuanzhu Fan Yimin Liu Subashini Sivakumar Kurt P Kowalski Edward M Golenberg |
| author_facet | Feng Tao Chuanzhu Fan Yimin Liu Subashini Sivakumar Kurt P Kowalski Edward M Golenberg |
| author_sort | Feng Tao |
| collection | DOAJ |
| description | Phragmites australis (common reed) has a cosmopolitan distribution and has been suggested as a model organism for the study of invasive plant species. In North America, the non-native subspecies (ssp. australis) is widely distributed across the contiguous 48 states in the United States and large parts of Canada. Even though millions of dollars are spent annually on Phragmites management, insufficient knowledge of P. australis impeded the efficiency of management. To solve this problem, transcriptomic information generated from multiple types of tissue could be a valuable resource for future studies. Here, we constructed forty-nine P. australis transcriptomes assemblies via different assembly tools and multiple parameter settings. The optimal transcriptome assembly for functional annotation and downstream analyses was selected among these transcriptome assemblies by comprehensive assessments. For a total of 422,589 transcripts assembled in this transcriptome assembly, 319,046 transcripts (75.5%) have at least one functional annotation. Within the transcriptome assembly, we further identified 1,495 transcripts showing tissue-specific expression pattern, 10,828 putative transcription factors, and 72,165 candidates for simple sequence repeats markers. The identification and analyses of predicted transcripts related to herbicide- and salinity-resistant genes were shown as two applications of the transcriptomic information to facilitate further research on P. australis. Transcriptome assembly and selection would be important for the transcriptome annotation. With this optimal transcriptome assembly and all relative information from downstream analyses, we have helped to establish foundations for future studies on the mechanisms underlying the invasiveness of non-native P. australis subspecies. |
| first_indexed | 2024-04-10T20:15:12Z |
| format | Article |
| id | doaj.art-0a573875c00d41e797031da983288518 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T20:15:12Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-0a573875c00d41e797031da9832885182023-01-26T05:31:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01181e028035410.1371/journal.pone.0280354Optimization and application of non-native Phragmites australis transcriptome assemblies.Feng TaoChuanzhu FanYimin LiuSubashini SivakumarKurt P KowalskiEdward M GolenbergPhragmites australis (common reed) has a cosmopolitan distribution and has been suggested as a model organism for the study of invasive plant species. In North America, the non-native subspecies (ssp. australis) is widely distributed across the contiguous 48 states in the United States and large parts of Canada. Even though millions of dollars are spent annually on Phragmites management, insufficient knowledge of P. australis impeded the efficiency of management. To solve this problem, transcriptomic information generated from multiple types of tissue could be a valuable resource for future studies. Here, we constructed forty-nine P. australis transcriptomes assemblies via different assembly tools and multiple parameter settings. The optimal transcriptome assembly for functional annotation and downstream analyses was selected among these transcriptome assemblies by comprehensive assessments. For a total of 422,589 transcripts assembled in this transcriptome assembly, 319,046 transcripts (75.5%) have at least one functional annotation. Within the transcriptome assembly, we further identified 1,495 transcripts showing tissue-specific expression pattern, 10,828 putative transcription factors, and 72,165 candidates for simple sequence repeats markers. The identification and analyses of predicted transcripts related to herbicide- and salinity-resistant genes were shown as two applications of the transcriptomic information to facilitate further research on P. australis. Transcriptome assembly and selection would be important for the transcriptome annotation. With this optimal transcriptome assembly and all relative information from downstream analyses, we have helped to establish foundations for future studies on the mechanisms underlying the invasiveness of non-native P. australis subspecies.https://doi.org/10.1371/journal.pone.0280354 |
| spellingShingle | Feng Tao Chuanzhu Fan Yimin Liu Subashini Sivakumar Kurt P Kowalski Edward M Golenberg Optimization and application of non-native Phragmites australis transcriptome assemblies. PLoS ONE |
| title | Optimization and application of non-native Phragmites australis transcriptome assemblies. |
| title_full | Optimization and application of non-native Phragmites australis transcriptome assemblies. |
| title_fullStr | Optimization and application of non-native Phragmites australis transcriptome assemblies. |
| title_full_unstemmed | Optimization and application of non-native Phragmites australis transcriptome assemblies. |
| title_short | Optimization and application of non-native Phragmites australis transcriptome assemblies. |
| title_sort | optimization and application of non native phragmites australis transcriptome assemblies |
| url | https://doi.org/10.1371/journal.pone.0280354 |
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