Evidence map›Paper›PMID 31781953›Full record

ArticlePlanta2019

Comprehensive transcriptome analysis of faba bean in response to vernalization.

Bei Gao, Xiao-Chun Bian, Feng Yang, Mo-Xian Chen, Debatosh Das, Xiu-Ru Zhu, Yong Jiang, Jianhua Zhang, Yun-Ying Cao, Chun-Fang Wu

Abstract read
PubMed Publisher
In one paragraph

Article in Planta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Transcriptome Analysis of Stigmas ofPlants (Basel, Switzerland) · 2024
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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

10 authors at 6 institutions in 2 countries.

Bei GaoJiangsu Yanjiang Institute of Agricultural Sciences, Nantong, China.
Xiao-Chun BianJiangsu Yanjiang Institute of Agricultural Sciences, Nantong, China.
Feng YangShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Mo-Xian ChenShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Debatosh DasShenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China.
Xiu-Ru ZhuCollege of Life Sciences, Nantong University, Nantong, China.
Yong JiangNational Oceanographic Center, Qingdao, China.
Jianhua ZhangDepartment of Biology, Hong Kong Baptist University and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Yun-Ying CaoCollege of Life Sciences, Nantong University, Nantong, China. cyy@ntu.edu.cn.
Chun-Fang WuJiangsu Yanjiang Institute of Agricultural Sciences, Nantong, China. wuchunfang@jaas.ac.cn.
Chinese University of Hong Kong, Shenzhen · CNJiangsu Academy of Agricultural Sciences · CNNantong University · CNChinese University of Hong Kong · CNHong Kong Baptist University · HKInstitute of Oceanographic Instrumentation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionThis study unravels the transcriptional response of a highly productive faba bean cultivar under vernalization treatment. Faba bean (Vicia faba L.) is a member of the Leguminosae family and an important food crop worldwide providing valuable nutrients for humans. However, genome-wide studies and comprehensive sequencing resources of faba bean remain limited. Vernalization is crucial for enhanced yields in a number of winter-sown crops. However, the effects of vernalization on faba bean remain unknown. In this study, we generated a high-quality transcriptome assembly and functional annotation source for vernalized faba bean (Vicia faba L.) cv. Tongxian-2, a domesticated cultivar from southern China. A total of 369.9 million clean Illumina paired-end RNA-Seq reads were generated, and the transcriptome was assembled into 68,683 unigene sequences, with an average length of 1018 bp and an N50 of 1652 bp. Comprehensive functional annotation provided putative functional descriptions for more than 70% of the faba bean transcripts. We annotated a total of 1560 faba bean transcripts encoding transcription factors (TFs) belonging to 55 distinct TF families. The bHLH (168 transcripts), ERF (123 transcripts) and WRKY (105 transcripts) contained the largest number of TFs in response to vernalization. Genome-wide transcript changes comparing vernalized and unvernalized seedlings were investigated using bioinformatics approaches, which revealed a strong repression of photosynthesis and carbon metabolism, while genes participating in 'response to stress' were significantly induced. We also specifically identified vernalization-induced twenty-two 'pollen-pistil interaction' genes. A detailed functional annotation and expression profile analyses unveiled a number of protein kinases, which were specifically induced in vernalized seedlings. We also identified a total of 6852 simple sequence repeats (SSRs) in 6552 transcripts, representing a valuable genomic molecular marker resource for faba bean. In summary, this study provides new insights into the vernalization process in this economically valuable crop. The transcriptome data obtained provides us with a valuable candidate gene resource for future functional and molecular breeding studies. These data will contribute to the genome annotation for ensuing genome projects.

Indexed as

Cold TemperatureGene Expression ProfilingFlowersGene Expression Regulation, PlantGene OntologyGenes, PlantMetabolic Networks and PathwaysMicrosatellite RepeatsMolecular Sequence AnnotationRNA, MessengerSeedlingsTranscription FactorsTranscriptomeUp-RegulationVicia fabaRNA, MessengerTranscription FactorsSimple sequence repeatsTranscription factorTranscriptomeVernalizationVicia faba

Identifiers

PMID31781953
OpenAlexW2991102763

What OpenQuestion holds

Textmetadata
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.