RNAseq of diverse spring wheat cultivars released during last 110 years
Abstract 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 ro...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02769-w |
| _version_ | 1797398202397229056 |
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| author | Saman Maqbool Samar Naseer Nageen Zahra Fatima Rasool Humaira Qayyum Khawar Majeed Muhammad Jahanzaib Muhammad Sajjad Muhammad Fayyaz Muhammad Kashif Naeem Muhammad Ramzan Khan Hao Zhang Awais Rasheed Huihui Li |
| author_facet | Saman Maqbool Samar Naseer Nageen Zahra Fatima Rasool Humaira Qayyum Khawar Majeed Muhammad Jahanzaib Muhammad Sajjad Muhammad Fayyaz Muhammad Kashif Naeem Muhammad Ramzan Khan Hao Zhang Awais Rasheed Huihui Li |
| author_sort | Saman Maqbool |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-09T01:21:24Z |
| format | Article |
| id | doaj.art-5685f346409b4d07befb82a3de37b88b |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-09T01:21:24Z |
| publishDate | 2023-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-5685f346409b4d07befb82a3de37b88b2023-12-10T12:06:41ZengNature PortfolioScientific Data2052-44632023-12-011011710.1038/s41597-023-02769-wRNAseq of diverse spring wheat cultivars released during last 110 yearsSaman Maqbool0Samar Naseer1Nageen Zahra2Fatima Rasool3Humaira Qayyum4Khawar Majeed5Muhammad Jahanzaib6Muhammad Sajjad7Muhammad Fayyaz8Muhammad Kashif Naeem9Muhammad Ramzan Khan10Hao Zhang11Awais Rasheed12Huihui Li13State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), CIMMYT-China officeDepartment of Plant Sciences, Quaid-i-Azam UniversityNational Institute of Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC)National Institute of Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC)Department of Plant Sciences, Quaid-i-Azam UniversityDepartment of Plant Sciences, Quaid-i-Azam UniversityDepartment of Plant Sciences, Quaid-i-Azam UniversityDepartment of BioSciences, COMSATS UniversityCrop Disease Research Institute, National Agriculture Research Center (NARC)National Institute of Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC)National Institute of Genomics and Advanced Biotechnology (NIGAB), National Agriculture Research Center (NARC)State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), CIMMYT-China officeState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), CIMMYT-China officeState Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), CIMMYT-China officeAbstract 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.https://doi.org/10.1038/s41597-023-02769-w |
| spellingShingle | Saman Maqbool Samar Naseer Nageen Zahra Fatima Rasool Humaira Qayyum Khawar Majeed Muhammad Jahanzaib Muhammad Sajjad Muhammad Fayyaz Muhammad Kashif Naeem Muhammad Ramzan Khan Hao Zhang Awais Rasheed Huihui Li RNAseq of diverse spring wheat cultivars released during last 110 years Scientific Data |
| 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 |
| url | https://doi.org/10.1038/s41597-023-02769-w |
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