ArticleJournal of integrative plant biology2025
Global identification of key genes for pollen germination in rice through high-throughput screening and gene editing.
Article in Journal of integrative plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Developing an Efficient System for Hybrid Rice Seed Production Using Partial Male Sterility.Plant biotechnology journal · 2026Article
- Evaluating Pollen Viability and Tube Growth in Rice (Oryza sativa).Methods in molecular biology (Clifton, N.J.) · 2026Article
- Global identification of key genes for pollen germination in rice through high-throughput screening and gene editing.Journal of integrative plant biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Successful reproduction depends on the stable germination and growth of the pollen tubes (PT). However, the molecular mechanisms involved in rice PT growth and development remain largely unknown. In a previous study, microarray transcriptome analysis identified 627 genes preferentially expressed in the tricellular and germinating pollen of rice (i.e., Oryza sativa ssp. japonica). To elucidate key genes involved in the gene transfer process facilitated by male gametophytes, we systematically screened T-DNA lines containing disrupted sequences that corresponded to these 627 genes and analyzed the genotypes of heterozygote progeny from 107 T-DNA-indexed lines covering 105 genes. We found that 42 lines exhibited a distorted segregation ratio among the wild-type (WT), heterozygote (HT), and homozygote (HM) genotypes, which deviated from the expected Mendelian ratio of 1:2:1 (WT:HT:HM). Further characterization using CRISPR/Cas9 mutants revealed that knockout mutants of certain genes that exhibited segregation distortion in the T-DNA insertion region were completely sterile. Moreover, even when T-DNA insertion lines followed Mendelian segregation patterns, sterility could be induced by simultaneously mutating functionally redundant genes, thereby overcoming genetic compensation. Interestingly, although some T-DNA insertion lines exhibited segregation ratios approximating 1:1:0, the corresponding CRISPR/Cas9 mutants produced homozygous seeds and showed partial sterility. Partial sterility suggests that despite mutant pollen grains being less competitive than WT pollen, they retain their fertilization potential under relaxed competition from WT pollen. Beyond mutant-based analysis, transcriptomic profiling of sterile mutant lines provided additional insight into the regulatory relationship between key germination regulators and the 105 target genes studied here. Overall, this study demonstrates the effectiveness of a multi-pronged strategy to accelerate the identification of defective phenotypes using mutant studies and provides valuable genetic resources for inducing novel male sterility in rice.
Indexed as
Identifiers
What OpenQuestion holds
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.