The Triticeae Multi-omics Center (http://202.194.139.32), a Maizu multi-omics big data visualization website operated by this official account, has now had more than 90,000 clicks and users are spread all over the world.
Encouragingly, according to incomplete statistics, more than a dozen papers have been marked and cited in the article, including "Nature Communications" (Lu et al., 2020), "Plant Biotechnology Journal" (Wang et al. , 2019; Chen et al., 2020), "Plant Journal" (Shi et al., 2020), etc.
Just as Chen Feng's team recently described and commented on this website in the review article "Plant Biotechnology Journal": "The Triticeae Multi-omics Center (http://202.194. 139.32) provides genome, transcriptome, protein, and epigenome dataset resources for common wheat and relatives as well as useful tools such as the BLAST, sequence extraction, and the design of molecular markers and primers. It also al Ignored the flanking sequences of the Wheat 820K SNP array to the Chinese Spring reference genome V1.0” . Through reading these articles, it is found that everyone uses this website for two most common purposes: one is positive genetics , and compares SNP and marker design for population analysis; the other is reverse genetics, mainly for the genes studied Sequence extraction and comparison, functional assisted analysis based on transcription group and epimodical modification group, etc.
Today, let me summarize the current transcriptome situation on the Macroe Multi-Omics Website. This part is of great significance for both forward research - predicting candidate genes in the localization interval or for reverse research - predicting the function of genes.
Currently, the website is full of transcriptome information of hexploid wheat. not only has published data resources collected, but also has exclusive data shared by the team of professors at Fudan University Jiajinying. However, the sorting in the directory box is now a bit chaotic. In order to facilitate everyone's use, I sorted out and it is mainly divided into the following categories:
1 is the development-related transcriptome of conventional varieties such as Chinese spring and other : First, it comes from Science special issue 's entire life cycle tissue-specific transcriptome ; secondly, a relatively complete set of data is about the transcriptome of the kernel development of , multiple versions, very fine; there is also a set of flag leaves Related transcriptome involves aging. In addition, there is a set of transcriptomes related to wax development .
The second is the transcriptome of anti-disease response : including gibberellosis, rust, powdery mildew, Zymoseptoria tritici infection, Xanthomonastranslucenen s pathogen infection, Pyrenophora tritici-repentis inoculation, etc. I personally think that the transcriptome related to disease resistance is very complete. I am very envious of abiotic stress O(∩_∩)O Haha~
Third is the transcriptome related to abiotic stress : is the most with temperature stress (up to 6 sets), and there is also drought Stress (note the difference between drought and PEG treatment), salt stress transcriptome. There is only a set of phosphorus starvation transcriptomes that are subject to nutritional stress, and we will add some later. Compared with the characteristics of the disease-resistant transcriptome that is easier to sample (leaf or root infection part), when using transcriptomes related to abiotic stress, you must mainly return to the literature from the data source and carefully check the sampling time and organization. .
4 is the transcriptome related to exogenous spray hormone : the transcriptome derived from the GA, 6-BA, ABA, and JA sprayed by the team of the 陈六官网.
5 is some transcriptome involving special genetic materials, such as genetic materials that carry Ph1, purple wheat , and grain weight NIL materials , chlorophyll-deleted mutant , miR021b Expression system et al.
It is true that the current transcriptome is not very complete, and some important maps are not complete; however, based on the editor's personal experience and comparison with foreign wheat genomics websites, the transcriptome information on our website can be said to be the most complete (Haha, it’s not just a boast). We sincerely hope that everyone can put their transcriptome (the recommended 2014 RNA-SEQ data after 8 years) on our website and share it with everyone. We also welcome everyone to see better transcriptome articles and data and think it is suitable to put them in. On the website, let us know -after all, we have limited numbers and it is impossible to see all the data.
Finally, I would like to emphasize that if the data on our website is used, we are welcome to quote our website, but must remember to quote the original data. We are all in the corresponding page for relevant literature information below. In addition, the samples of the omic data (ecological type, developmental period, tissue, stress treatment dose and concentration, etc.) are not necessarily the same as your experiment. The data can only be used as a reference, and it is rigorous to verify it with real-time quantitative etc.
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