ArticleGigaScience2019
Access to RNA-sequencing data from 1,173 plant species: The 1000 Plant transcriptomes initiative (1KP).
Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
86 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- Antisense Transcription in Plants: A Systematic Review and an Update on cis-NATs of Sugarcane.International journal of molecular sciences · 2022Pooled it
- Archipelago architecture and evolution of paclitaxel biosynthesis revealed by the Pseudotaxus chienii haplotype-resolved genome.Nature communications · 2026Article
- Deciphering the evolutionary origin of the enantioselectivity of short-chain dehydrogenases from plants toward 1-borneol.Nature communications · 2026Article
- Light-dependent processes in algae across scales: from cellular physiology to ecological organization.Plant physiology · 2026Review
- CNGCs in Marchantia paleacea uncouple arbuscular mycorrhizal symbiosis and rhizoid development.The New phytologist · 2026Article
- Using Nuclear Genomic Data to Address Intractable Relationships and Gene Tree Discordance in an Ancient Group of Gymnosperms (Ecology and evolution · 2026Article
- Identification and characterization of BAHD hydroxycinnamoyltransferases in the fern Neoblechnum brasiliense.The Plant journal : for cell and molecular biology · 2026Article
- First whole genome sequence of a diploid crop wild relative of the Andean tuber "oca": Annotation and comparative genomic analysis of Oxalis oulophora.The plant genome · 2026Article
- The SPL-family transcription factor MpSPL3 orchestrates the proper regulation of vegetative and reproductive programs in Marchantia polymorpha.The Plant journal : for cell and molecular biology · 2026Article
- AI-integrated digital breeding for crop improvement.Frontiers in plant science · 2026Review
- High-performance living plant collections require a globally integrated data ecosystem to meet twenty-first-century challenges.Nature plants · 2026Review
- Urticaceae542 as a novel probe set combining universal and lineage-specific loci for phylogenomics of Urticaceae.Scientific reports · 2025Article
- A million shades of green: understanding and harnessing plant metabolic diversity.The EMBO journal · 2025Review
- Reverse prenylation in plants by non-canonical aromatic prenyltransferases.The Plant journal : for cell and molecular biology · 2025Article
- A key residue of the extracellular gate provides quality control contributing to ABCG substrate specificity.Nature communications · 2025Article
- Expansion of the Stereochemical Space of Triterpenes by Mining Noncanonical Oxidosqualene Cyclases Across the Diversity of Green Plants.Journal of the American Chemical Society · 2025Article
- Phenolic metabolism in Sarcandra glabra is mediated by distinct BAHD hydroxycinnamoyltransferases.The Plant journal : for cell and molecular biology · 2025Article
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- Insights from a century of data reveal global trends in ex situ living plant collections.Nature ecology & evolution · 2025Article
- Sensing a rainbow of colors: algal photoreceptors.Frontiers in plant science · 2025Review
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 10 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 1000 Plant transcriptomes initiative (1KP) explored genetic diversity by sequencing RNA from 1,342 samples representing 1,173 species of green plants (Viridiplantae).
findingsThis data release accompanies the initiative's final/capstone publication on a set of 3 analyses inferring species trees, whole genome duplications, and gene family expansions. These and previous analyses are based on de novo transcriptome assemblies and related gene predictions. Here, we assess their data and assembly qualities and explain how we detected potential contaminations.
conclusionsThese data will be useful to plant and/or evolutionary scientists with interests in particular gene families, either across the green plant tree of life or in more focused lineages.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.