RNAseq of diverse spring wheat cultivars released during last 110 years
Here, we performed RNA-seq based expression analysis of root and leaf tissues of a set of 24 historical spring wheat cultivars representing 110 years of temporal genetic variations. This huge 130 tissues RNAseq dataset was initially used to study expression pattern of 97 genes regulating root growth...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Nature Publishing Group
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/139765 |
| _version_ | 1855517025976188928 |
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| author | Maqbool, Saman Naseer, Samar Zahra, Nageen Rasool, Fatima Qayyum, Humaira Majeed, Khawar Jahanzaib, Muhammad Sajjad, Muhammad Fayyaz, Muhammad Kashif Naeem, Muhammad Ramzan Khan, Muhammad Zhang, Hao Rasheed, Awais Li, Huihui |
| author_browse | Fayyaz, Muhammad Jahanzaib, Muhammad Kashif Naeem, Muhammad Li, Huihui Majeed, Khawar Maqbool, Saman Naseer, Samar Qayyum, Humaira Ramzan Khan, Muhammad Rasheed, Awais Rasool, Fatima Sajjad, Muhammad Zahra, Nageen Zhang, Hao |
| author_facet | Maqbool, Saman Naseer, Samar Zahra, Nageen Rasool, Fatima Qayyum, Humaira Majeed, Khawar Jahanzaib, Muhammad Sajjad, Muhammad Fayyaz, Muhammad Kashif Naeem, Muhammad Ramzan Khan, Muhammad Zhang, Hao Rasheed, Awais Li, Huihui |
| author_sort | Maqbool, Saman |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Here, we performed RNA-seq based expression analysis of root and leaf tissues of a set of 24 historical spring wheat cultivars representing 110 years of temporal genetic variations. This huge 130 tissues RNAseq dataset was initially used to study expression pattern of 97 genes regulating root growth and development in wheat. Root system architecture (RSA) is an important target for breeding stress-resilient and high-yielding wheat cultivars under climatic fluctuations. However, root transcriptome analysis is usually obscured due to challenges in root research due to their below ground presence. We also validated the dataset by performing correlation analysis between expression of RSA related genes in roots and leaves with 25 root traits analyzed under varying moisture conditions and 10 yield-related traits. The Pearson’s correlation coefficients between root phenotypes and expression of root-specific genes varied from −0.72 to 0.78, and strong correlations with genes such as DRO1, TaMOR, ARF4, PIN1 was observed. The presented datasets have multiple uses such as a) studying the change in expression pattern of genes during time, b) differential expression of genes in two very important tissues of wheat i.e., leaf and roots, and c) studying customized expression of genes associated with important phenotypes in diverse wheat cultivars. The initial findings presented here provided key insights into understanding the transcriptomic basis of phenotypic variability of RSA in wheat cultivars. |
| format | Journal Article |
| id | CGSpace139765 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Nature Publishing Group |
| publisherStr | Nature Publishing Group |
| record_format | dspace |
| spelling | CGSpace1397652025-03-11T12:14:31Z RNAseq of diverse spring wheat cultivars released during last 110 years Maqbool, Saman Naseer, Samar Zahra, Nageen Rasool, Fatima Qayyum, Humaira Majeed, Khawar Jahanzaib, Muhammad Sajjad, Muhammad Fayyaz, Muhammad Kashif Naeem, Muhammad Ramzan Khan, Muhammad Zhang, Hao Rasheed, Awais Li, Huihui RNA sequence spring wheat root architecture genes Here, we performed RNA-seq based expression analysis of root and leaf tissues of a set of 24 historical spring wheat cultivars representing 110 years of temporal genetic variations. This huge 130 tissues RNAseq dataset was initially used to study expression pattern of 97 genes regulating root growth and development in wheat. Root system architecture (RSA) is an important target for breeding stress-resilient and high-yielding wheat cultivars under climatic fluctuations. However, root transcriptome analysis is usually obscured due to challenges in root research due to their below ground presence. We also validated the dataset by performing correlation analysis between expression of RSA related genes in roots and leaves with 25 root traits analyzed under varying moisture conditions and 10 yield-related traits. The Pearson’s correlation coefficients between root phenotypes and expression of root-specific genes varied from −0.72 to 0.78, and strong correlations with genes such as DRO1, TaMOR, ARF4, PIN1 was observed. The presented datasets have multiple uses such as a) studying the change in expression pattern of genes during time, b) differential expression of genes in two very important tissues of wheat i.e., leaf and roots, and c) studying customized expression of genes associated with important phenotypes in diverse wheat cultivars. The initial findings presented here provided key insights into understanding the transcriptomic basis of phenotypic variability of RSA in wheat cultivars. 2023 2024-02-29T15:16:14Z 2024-02-29T15:16:14Z Journal Article https://hdl.handle.net/10568/139765 en Open Access application/pdf Nature Publishing Group Maqbool, S., Naseer, S., Zahra, N., Rasool, F., Qayyum, H., Majeed, K., Jahanzaib, M., Sajjad, M., Fayyaz, M., Naeem, M. K., Khan, M. R., Zhang, H., Rasheed, A., & Li, H. (2023). RNAseq of diverse spring wheat cultivars released during last 110 years. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02769-w |
| spellingShingle | RNA sequence spring wheat root architecture genes Maqbool, Saman Naseer, Samar Zahra, Nageen Rasool, Fatima Qayyum, Humaira Majeed, Khawar Jahanzaib, Muhammad Sajjad, Muhammad Fayyaz, Muhammad Kashif Naeem, Muhammad Ramzan Khan, Muhammad Zhang, Hao Rasheed, Awais Li, Huihui RNAseq of diverse spring wheat cultivars released during last 110 years |
| title | RNAseq of diverse spring wheat cultivars released during last 110 years |
| title_full | RNAseq of diverse spring wheat cultivars released during last 110 years |
| title_fullStr | RNAseq of diverse spring wheat cultivars released during last 110 years |
| title_full_unstemmed | RNAseq of diverse spring wheat cultivars released during last 110 years |
| title_short | RNAseq of diverse spring wheat cultivars released during last 110 years |
| title_sort | rnaseq of diverse spring wheat cultivars released during last 110 years |
| topic | RNA sequence spring wheat root architecture genes |
| url | https://hdl.handle.net/10568/139765 |
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