The 10,000 plants (tenKP or 10KP) aims to sequence over 10,000 genomes representing every major clade of plants and eukaryotic microbes(nearly the entire plant kingdom) through extensive global collaboration, comprehensive resource collection, and systematic scientific design and research. This project would generate large-scale plant genome data within the next five years (2017-2022), addressing fundamental questions about biodiversity, plant evolution, ecological protection.The announcement of the 10KP Project was published on July 27, 2017, 8:00 AM in Science, which was sampling phylogenetic diversity, not just crops and model organisms. The 10KP Project will be a key part of the Earth BioGenome Project (EBP).

To better examine the pharmaceutically active components and key genes of medicinal plans devoted for traditional human medicine, the Multi-omics study for Medicinal Plants dataset summarizes a series of “-omics” technologies analyse data (genomics, transcriptomics, proteomics, and metabolomics) from 200 selected medicinal plants, explores the mechanism about how they will play an increasingly important role in future pharmaceutical research, fills the data gap in medicinal plant chemistry and biology.

As Charles Darwin anticipated, living fossils provide excellent opportunities to study evolutionary questions related to extinction, competition, and adaptation. Ginkgo (Ginkgo biloba L.) is one of the oldest living plants and a fascinating example of how people have saved a species from extinction and assisted its resurgence. By resequencing 545 genomes of ginkgo trees sampled from 51 populations across the world, we identify three refugia in China and detect multiple cycles of population expansion and reduction along with glacial admixture between relict populations in the southwestern and southern refugia. We demonstrate multiple anthropogenic introductions of ginkgo from eastern China into different continents. Further analyses reveal bioclimatic variables that have affected the geographic distribution of ginkgo and the role of natural selection in ginkgo’s adaptation and resilience. These investigations provide insights into the evolutionary history of ginkgo trees and valuable genomic resources for further addressing various questions involving living fossil species.

T. sinensis gene set. T. sinensis var. heiyouchun was cultivated in Fuyang city in Anhui Province of China. The tender leaves grown from apical buds were collected for DNA isolation

1000 Plant (1KP) Transcriptomes is a large-scale international multidisciplinary consortium acquiring data from over 1,000 plant species(from angiosperms to algae) based on the next generation sequencing technology.

Oryza sativa has important syntenic relationships with the other cereal species and is a model plant for the grasses. These data sets can be used to test new programs for variation deep mining, and will provide new insights into the genome structure, function, and evolution, and will provide essential support for biological research in general.

Wheat is the staple food for 35% of the world population and is the most grown crop worldwide. Wheat genomics provides the foundation for a better understanding of the molecular basis of phenotypic variation, accelerating breeding and improving the exploitation of genetic diversity.

Soybean (Glycine max) is one of the most important crop plants for seed protein and oil content, and for its capacity to fix atmospheric nitrogen through symbioses with soil-borne microorganisms.An accurate soybean genome sequence will facilitate the identification of the genetic basis of many soybean traits, and accelerate the creation of improved soybean varieties.

Gossypium hirsutum, also known as upland cotton or Mexican cotton, is the most widely planted species of cotton in the United States, constituting some 95% of all cotton production there.

Dataset of Arabidopsis Genome help us better understand how organisms evolve and respond to selection, and which sequence changes have either beneficial or deleterious effects.

Zea mays (maize) is an important model organism for studies in plant genetics, physiology, and development. It has a large genome of of about 2.4 gigabases with a haploid chromosome number of 10. This dataset should be potentially useful for generating new crops as well as for the study of the evolution and domestication of maize as well as other cereals.

738 vascular plants, with both the high-depth whole genome sequencing data, the voucher specimen and chloroplast genome, making it valuable dataset for plant genome researches and applications. At the same time, another four thousand plant chloroplast genes were downloaded from NCBI. The four thousand plant chloroplast genes files can be downloaded at ftp://ftp.cngb.org/pub/Dataset/datadis10/

The Database of 10,000 Medicinal Plants aims to build the largest big data centre of medicinal plants in the world. This project would sequence over 10,000 genomes representing every major clade of medicinal plants within the next three years (2019-2021), interpreting the relationship between the big data of medicinal plants and the pharmaceutical efficacy. Department of Science and Technology of Guangxi Zhuang Autonomous Region supported this project.

Sequecing transcriptome and chloroplast of 387 woody bamboos representing in 15 clades in Asia and a fully resolved phylogenetic tree derived from protein-coding genes and LSC regions.

The Millet Genome Database is based on the data of the millet genome project researched by BGI and Zhangjiakou Academy of Agricultural sciences. The database records the genotype-phenotype information of millet. Users can query and retrieve the genotype of millet through the phenotype, and the corresponding phenotype can be retrieved by genotype. Besides, the database also applies the big data technology and machine learning method to construct the genotype-phenotype model to promote the intelligent molecular breeding.

The 3000 Rice Genomes Project is an international resequencing effort of 3,000 rice genomes. This data serves as a foundation for large-scale discovery of novel alleles for important rice phenotypes using various bioinformatics and/or genetic approaches. It also serves to understand the genomic diversity within O. sativa at a higher level of detail. With the release of the sequencing data, the project calls for the global rice community to take advantage of this data as a foundation for establishing a global, public rice genetic/genomic database and information platform for advancing rice breeding technology for future rice improvement.

761 samples representing 689 vascular plant species from 137 families and 49 orders have been sampled and sequenced by researchers from the China National GeneBank, BGI, and the Forestry Bureau of Ruili, China. The plant samples are all from in and around the 500-hectare Botanical Garden in Ruili, a subtropical part of China bordering Myanmar. Being in a biologically rich part of China, the garden is committed to protecting endangered and Chinese-endemic plants, including the preservation and archiving of these germplasm resources to assist with their long-term conservation. This project is the world's first scientific and systematic attempt to digitize a whole botanical garden based on genomic as well as voucher specimen information. In total, the researchers produced 54 terabytes of sequencing data, with an average sequencing depth of 60X per species.

Africa's orphan crops are rich in diverse genetic resources. They are one of the food, nutrition and economic sources of people in many countries and regions in Africa. However, due to their low yield, low research and insufficient overall promotion, they are often ignored by local people. This study, by sequencing five African orphan crops, to find genes that improve crop nutrition and productivity, lays the foundation for further improvement of crop germplasm, and also provides important guidance for improving the nutrition and food safety of local residents.