Evidence map›Paper›PMID 30796281›Full record

ArticleScientific reports2019

New alleles for chlorophyll content and stay-green traits revealed by a genome wide association study in rice (Oryza sativa).

Yan Zhao, Chenggen Qiang, Xueqiang Wang, Yanfa Chen, Jinqiang Deng, Conghui Jiang, Xingming Sun, Haiyang Chen, Jin Li, Weilan Piao and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  15. Genome-Wide Identification of theInternational journal of molecular sciences · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yan ZhaoKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Chenggen QiangKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Xueqiang WangKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Yanfa ChenKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Jinqiang DengKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Conghui JiangKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Xingming SunKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Haiyang ChenKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Jin LiKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Weilan PiaoDepartment of Plant Science, Plant Genomics and Breeding Institute, and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
Xiaoyang ZhuKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Zhanying ZhangKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Hongliang ZhangKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
Zichao LiKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.ORCID 0000-0002-3186-1132
Jinjie LiKey Laboratory of Crop Heterosis and Utilization of the Ministry of Education, and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China. lijinjie@cau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Higher chlorophyll content (CC) and strong stay-green (SG) traits are conducive for improvement of photosynthetic efficiency in plants. Exploration of natural elite alleles for CC and SG, and highly resolved gene haplotypes are beneficial to rational design of breeding for high-photosynthetic efficiency. Phenotypic analysis of 368 rice accessions showed no significant correlation between CC and SG, and higher CC and stronger SG in japonica than in indica. Genome-wide association studies of six indices for CC and SG identified a large number of association signals, among which 14 were identified as pleiotropic regions for CC and SG. Twenty-five known genes and pleiotropic candidate gene OsSG1 accounted for natural variation in CC and SG. Further analysis indicated that 20 large-effect, non-synonymous SNPs within six known genes around GWAS signals and three SNPs in the promoter of OsSG1 could be functional causing significant phenotypic differences between alleles. Superior haplotypes were identified based on these potentially functional SNPs. Population analyses of 368 cultivated accessions and 446 wild accessions based on SNPs within genes for CC and SG suggested that these genes had been subjected to strong positive selection in japonica in the process of spreading from its subtropical origin to the North China temperate zone. Our studies point to important genes that account for natural variation and provide superior haplotypes of possible functional SNPs that will be beneficial in breeding for high-photosynthetic efficiency in rice.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociAllelesChlorophyllGenes, PlantGenetic VariationOryzaPhenotypePlant BreedingPolymorphism, Single NucleotideChlorophyll

Identifiers

PMID30796281
PMCPMC6384888

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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.