Evidence map›Paper›PMID 30380099›Full record

ArticleJournal of experimental botany2019

Combining high-throughput micro-CT-RGB phenotyping and genome-wide association study to dissect the genetic architecture of tiller growth in rice.

Di Wu, Zilong Guo, Junli Ye, Hui Feng, Jianxiao Liu, Guoxing Chen, Jingshan Zheng, Dongmei Yan, Xiaoquan Yang, Xiong Xiong and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
11.0field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 109 citations in OpenAlex.

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  18. Genomic selection in tropical perennial crops and plantation trees: a review.Molecular breeding : new strategies in plant improvement · 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

16 authors at 3 institutions in 2 countries.

Di WuNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Zilong GuoNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Junli YeNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Hui FengNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Jianxiao LiuNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Guoxing ChenNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Jingshan ZhengNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Dongmei YanBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China.
Xiaoquan YangBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China.
Xiong XiongBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China.
Qian LiuBritton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, and Key Laboratory of Ministry of Education for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan, China.
Zhiyou NiuNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Alan P GayThe National Plant Phenomics Centre, Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
John H DoonanThe National Plant Phenomics Centre, Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
Lizhong XiongNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Wanneng YangNational Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Agricultural Bioinformatics Key Laboratory of Hubei Province, College of Informatics, and College of Engineering, Huazhong Agricultural University, Wuhan, China.
Huazhong Agricultural University · CNWuhan National Laboratory for Optoelectronics · CNAberystwyth University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/CAP1730/1Biotechnology and Biological Sciences Research Council BB/J004464/1Biotechnology and Biological Sciences Research Council BB/R02118X/1
6 · The paper itself

Abstract

Manual phenotyping of rice tillers is time consuming and labor intensive, and lags behind the rapid development of rice functional genomics. Thus, automated, non-destructive methods of phenotyping rice tiller traits at a high spatial resolution and high throughput for large-scale assessment of rice accessions are urgently needed. In this study, we developed a high-throughput micro-CT-RGB imaging system to non-destructively extract 739 traits from 234 rice accessions at nine time points. We could explain 30% of the grain yield variance from two tiller traits assessed in the early growth stages. A total of 402 significantly associated loci were identified by genome-wide association study, and dynamic and static genetic components were found across the nine time points. A major locus associated with tiller angle was detected at time point 9, which contained a major gene, TAC1. Significant variants associated with tiller angle were enriched in the 3'-untranslated region of TAC1. Three haplotypes for the gene were found, and rice accessions containing haplotype H3 displayed much smaller tiller angles. Further, we found two loci containing associations with both vigor-related traits identified by high-throughput micro-CT-RGB imaging and yield. The superior alleles would be beneficial for breeding for high yield and dense planting.

Indexed as

BiomassDroughtsEdible GrainGenome, PlantGenome-Wide Association StudyOryzaX-Ray Microtomography

Identifiers

PMID30380099
PMCPMC6322582
OpenAlexW2949712375

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.