ArticleBMC plant biology2011
Analysis of anther transcriptomes to identify genes contributing to meiosis and male gametophyte development in rice.
Article in BMC plant biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed, 130 citations in OpenAlex.
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- Distinct classes of 21- and 24-nt phasiRNAs suggests diverse mechanisms of biogenesis and function in rice anther development.The plant genome · 2025Article
- Overexpression of the general transcription factor OsTFIIB5 alters rice development and seed quality.Plant cell reports · 2025Article
- Transcriptome profiling of foxtail millet (Setaria italica) pollen and anther.BMC plant biology · 2024Article
- Selfing Shapes Fixation of a Mutant Allele Under Flux Equilibrium.Genome biology and evolution · 2024Article
- Genome-Wide Analysis of the Histone Modification Gene (Plants (Basel, Switzerland) · 2024Article
- Cytological observation and RNA-seq analysis reveal novel miRNAs high expression associated with the pollen fertility of neo-tetraploid rice.BMC plant biology · 2023Article
- Transcriptome analysis of ovules offers early developmental clues after fertilization in3 Biotech · 2023Article
- Comparative cytological and transcriptome analyses ofFrontiers in plant science · 2023Article
- An uncharacterized protein NY1 targets EAT1 to regulate anther tapetum development in polyploid rice.BMC plant biology · 2022Article
- Phytohormones and Transcriptome Analyses Revealed the Dynamics Involved in Spikelet Abortion and Inflorescence Development in Rice.International journal of molecular sciences · 2022Article
- Exploring key developmental phases and phase-specific genes across the entirety of anther development in maize.Journal of integrative plant biology · 2022Article
- Rapid Identification of Pollen- and Anther-Specific Genes in Response to High-Temperature Stress Based on Transcriptome Profiling Analysis in Cotton.International journal of molecular sciences · 2022Article
- Characterization of Transcription Regulatory Domains of OsMADS29: Identification of Proximal Auxin-Responsive Domains and a Strong Distal Negative Element.Frontiers in plant science · 2022Article
- A Rapid Pipeline for Pollen- and Anther-Specific Gene Discovery Based on Transcriptome Profiling Analysis of Maize Tissues.International journal of molecular sciences · 2021Article
- Transcriptome and Gene Editing Analyses RevealInternational journal of molecular sciences · 2020Article
- Comparative Cytological and Transcriptome Analysis Revealed the Normal Pollen Development Process and Up-Regulation of Fertility-Related Genes in Newly Developed Tetraploid Rice.International journal of molecular sciences · 2020Article
- Analysis of rice nuclear-localized seed-expressed proteins and their database (RSNP-DB).Scientific reports · 2020Article
- Global identification and analysis revealed differentially expressed lncRNAs associated with meiosis and low fertility in autotetraploid rice.BMC plant biology · 2020Article
- Identification and validation of reference genes for RT-qPCR normalization in wheat meiosis.Scientific reports · 2020Article
19 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn flowering plants, the anther is the site of male gametophyte development. Two major events in the development of the male germline are meiosis and the asymmetric division in the male gametophyte that gives rise to the vegetative and generative cells, and the following mitotic division in the generative cell that produces two sperm cells. Anther transcriptomes have been analyzed in many plant species at progressive stages of development by using microarray and sequence-by synthesis-technologies to identify genes that regulate anther development. Here we report a comprehensive analysis of rice anther transcriptomes at four distinct stages, focusing on identifying regulatory components that contribute to male meiosis and germline development. Further, these transcriptomes have been compared with the transcriptomes of 10 stages of rice vegetative and seed development to identify genes that express specifically during anther development.
resultsTranscriptome profiling of four stages of anther development in rice including pre-meiotic (PMA), meiotic (MA), anthers at single-celled (SCP) and tri-nucleate pollen (TPA) revealed about 22,000 genes expressing in at least one of the anther developmental stages, with the highest number in MA (18,090) and the lowest (15,465) in TPA. Comparison of these transcriptome profiles to an in-house generated microarray-based transcriptomics database comprising of 10 stages/tissues of vegetative as well as reproductive development in rice resulted in the identification of 1,000 genes specifically expressed in anther stages. From this sub-set, 453 genes were specific to TPA, while 78 and 184 genes were expressed specifically in MA and SCP, respectively. The expression pattern of selected genes has been validated using real time PCR and in situ hybridizations. Gene ontology and pathway analysis of stage-specific genes revealed that those encoding transcription factors and components of protein folding, sorting and degradation pathway genes dominated in MA, whereas in TPA, those coding for cell structure and signal transduction components were in abundance. Interestingly, about 50% of the genes with anther-specific expression have not been annotated so far.
conclusionsNot only have we provided the transcriptome constituents of four landmark stages of anther development in rice but we have also identified genes that express exclusively in these stages. It is likely that many of these candidates may therefore contribute to specific aspects of anther and/or male gametophyte development in rice. In addition, the gene sets that have been produced will assist the plant reproductive community in building a deeper understanding of underlying regulatory networks and in selecting gene candidates for functional validation.
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