ArticleRice (New York, N.Y.)2019
Identification of S23 causing both interspecific hybrid male sterility and environment-conditioned male sterility in rice.
Article in Rice (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed, 40 citations in OpenAlex.
- Identification and Genetic Analysis of Collinearity Loci for Interspecific Hybrid Sterility in Genus Oryza.Rice (New York, N.Y.) · 2025Article
- Improvement of the outcrossing ability of CMS lines by pyramiding QTLs for SER.Molecular breeding : new strategies in plant improvement · 2025Article
- Advances in plant male sterility for hybrid seed production: an overview of conditional nuclear male sterile lines and biotechnology-based male sterile systems.Frontiers in plant science · 2025Review
- Four QTLs control stigma exsertion rate by changing stigma size in rice.Molecular breeding : new strategies in plant improvement · 2024Article
- Substitution Mapping and Allelic Variations of the Domestication Genes from O. rufipogon and O. nivara.Rice (New York, N.Y.) · 2023Article
- Two complementary genes in a presence-absence variation contribute to indica-japonica reproductive isolation in rice.Nature communications · 2023Article
- Article
- Influence of Gender Bias on Distribution of Hybrid Sterility in Rice.Frontiers in plant science · 2022Review
- Reconstruction of the High Stigma Exsertion Rate Trait in Rice by Pyramiding Multiple QTLs.Frontiers in plant science · 2022Article
- Identification of QTL Combinations that Cause Spikelet Sterility in Rice Derived from Interspecific Crosses.Rice (New York, N.Y.) · 2021Article
- GW10, a member of P450 subfamily regulates grain size and grain number in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice.Rice (New York, N.Y.) · 2021Article
- Dissection of closely linked QTLs controlling stigma exsertion rate in rice by substitution mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice.Rice (New York, N.Y.) · 2021Article
- Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula.Rice (New York, N.Y.) · 2020Article
- New Insights Into the Nature of Interspecific Hybrid Sterility in Rice.Frontiers in plant science · 2020Review
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOryza glumaepatula represents an important resource of genetic diversity that can be used to improve rice production. However, hybrid sterility severely restricts gene flow between Oryza species, and hinders the utilization of distant heterosis in hybrid rice breeding.
resultsIn order to fully exploit the beneficial genes of O. glumaepatula and facilitate the conservation of these gene resources, a set of chromosome single-segment substitution lines (SSSLs) was developed using an indica variety HJX74 as the recurrent parent and an accession of O. glumaepatula as the donor parent. During the process of SSSLs development, S23, a locus conferring hybrid male sterility between O. sativa and O. glumaepatula, was identified and fine mapped to 11.54 kb and 7.08 kb genomic region in O. sativa and O. glumaepatula, respectively, encoding three and two candidate ORFs, respectively. qRT-PCR and sequence analysis excluded one common ORF as the candidate gene. In addition, hybrid male sterility caused by S23 was environment-sensitive, and could be observed only in natural short-day (NSD).
conclusionIdentification and candidate genes analysis of S23 in this study provides a valuable example to study the crosstalk between interspecific F
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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.