ArticlePloS one2015
SS1 (NAL1)- and SS2-Mediated Genetic Networks Underlying Source-Sink and Yield Traits in Rice (Oryza sativa L.).
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 29 citations in OpenAlex.
- Genome-Wide Association Analysis of Effective Tillers in Rice under Different Nitrogen Gradients.International journal of molecular sciences · 2024Article
- Identification ofMolecular breeding : new strategies in plant improvement · 2024Article
- Combining two mainFrontiers in plant science · 2024Article
- Serine protease NAL1 exerts pleiotropic functions through degradation of TOPLESS-related corepressor in rice.Nature plants · 2023Article
- Isolation of a Novel QTL,International journal of molecular sciences · 2023Article
- Large Vascular Bundle Phloem Area 4 enhances grain yield and quality in rice via source-sink-flow.Plant physiology · 2023Article
- Partially functional NARROW LEAF1 balances leaf photosynthesis and plant architecture for greater rice yield.Plant physiology · 2022Article
- Genetic and molecular factors in determining grain number per panicle of rice.Frontiers in plant science · 2022Review
- Compared analysis with a high-quality genome of weedy rice reveals the evolutionary game of de-domestication.Frontiers in plant science · 2022Article
- A Novel Mutation of theInternational journal of molecular sciences · 2020Article
- Natural Sequence Variations and Combinations of GNP1 and NAL1 Determine the Grain Number per Panicle in Rice.Rice (New York, N.Y.) · 2020Article
- Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.Scientific reports · 2019Article
- QTL mapping and candidate gene analysis of peduncle vascular bundle related traits in rice by genome-wide association study.Rice (New York, N.Y.) · 2018Article
- New Candidate Genes Affecting Rice Grain Appearance and Milling Quality Detected by Genome-Wide and Gene-Based Association Analyses.Frontiers in plant science · 2016Article
- Metabolic Profiling and Physiological Analysis of a Novel Rice Introgression Line with Broad Leaf Size.PloS one · 2015Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Source leaf/sink capacity (SS) traits are important determinants of grain yield (GY) of rice. To understand the genetic basis of the SS relationship in rice, five SS and GY traits of rice were genetically dissected using two reciprocal introgression populations. Seventy-three QTL affecting the SS and GY traits were identified, most of which were detected in one of the parental genetic backgrounds (GBs). Two major QTL at bins 4.7 (SS1) and 3.12 (SS2) were associated consistently with all measured SS and yield traits in both GBs across two contrasting environments. Strong interactions between SS1/SS2 and the detected QTL led us to the discovery of genetic networks affecting the SS and GY traits. The SS1 acted as a regulator controlling two groups of downstream QTL affecting the source leaf width and grain number per panicle (GNP). SS2 functioned as a regulator positively regulating different groups of downstream QTL affecting the source leaf length, GNP, grain weight, and GY. Map-based cloning of SS1 indicates that SS1 is NAL1 involved in polar auxin/IAA transport. Different alleles at NAL1 were apparently able to qualitatively and/or quantitatively control the IAA transport from the apical meristem to different plant tissues and thus regulate those downstream loci/pathways controlling different SS traits of rice. There was a functional allele and a non-functional mutation in the parents at each of the QTL downstream of SS1 or SS2, which were detectable only in the presence of the functional allele of SS1 or SS2. Our results provided direct evidence that SS and yield traits in rice are controlled by complex signaling pathways and suggest further improvement of rice yield potential with enhanced and balanced SS relationships can be achieved by accurately manipulating allelic combinations at loci in the SS1 and SS2 mediated pathways.
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