ArticleRice (New York, N.Y.)2017
Differential Regulation of Starch-synthetic Gene Expression in Endosperm Between Indica and Japonica Rice Cultivars.
Article in Rice (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 19 citations in OpenAlex.
- Gene expression variations and allele-specific expression of two rice and their hybrid in caryopses at single-nucleus resolution.Frontiers in plant science · 2023Article
- Genotype-dependent and heat-induced grain chalkiness in rice correlates with the expression patterns of starch biosynthesis genes.Plant-environment interactions (Hoboken, N.J.) · 2021Article
- Posttranslational Modification of Waxy to Genetically Improve Starch Quality in Rice Grain.International journal of molecular sciences · 2021Review
- Identification of SNPs in crucial starch biosynthesis genes in rice.Journal of genetics · 2021Article
- SUPER STARCHY1/ONAC025 participates in rice grain filling.Plant direct · 2020Article
- Genetic Dissection and Functional Differentiation of ALKRice (New York, N.Y.) · 2020Article
- Rice quality: How is it defined by consumers, industry, food scientists, and geneticists?Trends in food science & technology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGrain filling rates (GFRs) of indica rice cultivars are often higher than those of japonica cultivars. Although GFR is mainly determined by the starch accumulation rate (SAR) in endosperm, the genetic basis for SAR during the ripening period has not been well studied in rice. To elucidate the factors influencing the differing SARs between typical indica and japonica cultivars, we focused on differences in sink potentials, especially on starch synthesis in the endosperm.
resultsSAR in indica rice cultivar IR36 was significantly higher than in japonica cultivar T65. Although enzymes for both amylose and amylopectin syntheses had higher activity in IR36, amylopectin synthesis was seemingly more important for accelerating SAR because an elevation of amylose synthesis ability alone in the T65 genetic background did not result in the same level of SAR as IR36. In IR36, most starch-synthetic genes (SSGs) in the endosperm were more highly expressed during ripening than in T65. In panicle culture experiments, the SSGs in rice endosperm were regulated in either sucrose-dependent or -independent manners, or both. All SSGs except SSI and BEIIa were responsive to sucrose in both cultivars, and GBSSI, AGPS2b and PUL were more responsive to sucrose in IR36. Interestingly, the GBSSI gene (Wx
conclusionsIn this study, at least three regulatory pathways seem to be involved in SSG expression in rice endosperm, and all pathways were more active in IR36. One of the factors leading to the high SAR of IR36 seemed to be an increase in the sink potential.
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.