Evidence map›Paper›PMID 38308663›Full record

ArticlePlant biotechnology journal2024

Homoeologous exchanges contribute to branch angle variations in rapeseed: Insights from transcriptome, QTL-seq and gene functional analysis.

Chengming Sun, Jian Wu, Xiaoying Zhou, Sanxiong Fu, Huimin Liu, Zhifei Xue, Xiaodong Wang, Qi Peng, Jianqin Gao, Feng Chen and 6 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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.

Chengming Sun *Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.ORCID https://orcid.org/0000-0002-2262-7782
Jian Wu *Key Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, China.ORCID https://orcid.org/0000-0002-5350-8938
Xiaoying ZhouKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Sanxiong FuKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Huimin LiuKey Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, China.
Zhifei XueNational Key Laboratory of Crop Genetic Improvement/National Center of Rapeseed Improvement/Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Xiaodong WangKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Qi PengKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Jianqin GaoKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Feng ChenKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Wei ZhangKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Maolong HuKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Tingdong FuNational Key Laboratory of Crop Genetic Improvement/National Center of Rapeseed Improvement/Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Youping WangKey Laboratory of Plant Functional Genomics of the Ministry of Education, Yangzhou University, Yangzhou, China.ORCID https://orcid.org/0000-0001-6832-8561
Bin YiNational Key Laboratory of Crop Genetic Improvement/National Center of Rapeseed Improvement/Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Jiefu ZhangKey Laboratory of Cotton and Rapeseed, Ministry of Agriculture and Rural Affairs/Key Laboratory of Jiangsu Province for Agrobiology/Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Jiangsu Academy of Agricultural Sciences · CNHuazhong Agricultural University · CNYangzhou University · CN

Funding

China Agriculture Research System of MOF and MARA CARS-12Jiangsu Collaborative Innovation Center for Modern Crop ProductionJiangsu Seed Industry Revitalization Project JBGS [2021]061National Natural Science Foundation of China 31971973National Natural Science Foundation of China 32001581Natural Science Foundation of Jiangsu Province BK20190260STI 2030 - Major Projects 2023ZD04008the Key Research and Development Project of Jiangsu Province BE2022340Wuhan Science and Technology Major Project on Key techniques of biological breeding and Breeding of new varieties 2022021302024851
6 · The paper itself

Abstract

Branch angle (BA) is a critical morphological trait that significantly influences planting density, light interception and ultimately yield in plants. Despite its importance, the regulatory mechanism governing BA in rapeseed remains poorly understood. In this study, we generated 109 transcriptome data sets for 37 rapeseed accessions with divergent BA phenotypes. Relative to adaxial branch segments, abaxial segments accumulated higher levels of auxin and exhibited lower expression of six TCP1 homologues and one GA20ox3. A co-expression network analysis identified two modules highly correlated with BA. The modules contained homologues to known BA control genes, such as FUL, YUCCA6, TCP1 and SGR3. Notably, a homoeologous exchange (HE), occurring at the telomeres of A09, was prevalent in large BA accessions, while an A02-C02 HE was common in small BA accessions. In their corresponding regions, these HEs explained the formation of hub gene hotspots in the two modules. QTL-seq analysis confirmed that the presence of a large A07-C06 HE (~8.1 Mb) was also associated with a small BA phenotype, and BnaA07.WRKY40.b within it was predicted as candidate gene. Overexpressing BnaA07.WRKY40.b in rapeseed increased BA by up to 20°, while RNAi- and CRISPR-mediated mutants (BnaA07.WRKY40.b and BnaC06.WRKY40.b) exhibited decreased BA by up to 11.4°. BnaA07.WRKY40.b was exclusively localized to the nucleus and exhibited strong expression correlations with many genes related to gravitropism and plant architecture. Taken together, our study highlights the influence of HEs on rapeseed plant architecture and confirms the role of WRKY40 homologues as novel regulators of BA.

Indexed as

Quantitative Trait LociTranscriptomeBrassica napusBrassica rapaGene Expression Regulation, PlantGenes, PlantIndoleacetic AcidsPhenotypePlant ProteinsIndoleacetic AcidsPlant ProteinsBranch angleHomoeologous exchangeQTL‐seqRapeseedWGCNAWRKY40

Identifiers

PMID38308663
PMCPMC11123428
OpenAlexW4391509206

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.