Evidence map›Paper›PMID 34117907›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2021

Development and application of the Faba_bean_130K targeted next-generation sequencing SNP genotyping platform based on transcriptome sequencing.

Chenyu Wang, Rong Liu, Yujiao Liu, Wanwei Hou, Xuejun Wang, Yamei Miao, Yuhua He, Yu Ma, Guan Li, Dong Wang and 6 more

Abstract read
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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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

Chenyu Wang *National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Rong Liu *National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yujiao LiuState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Ningda Road No. 251, Xining, 810016, Qinghai, China.
Wanwei HouQinghai Academy of Agricultural and Forestry Sciences, Ningda Road No. 253, Xining, 810016, Qinghai, China.
Xuejun WangAgricultural Institute of Riparian Region, Jiangsu, 226541, China.
Yamei MiaoAgricultural Institute of Riparian Region, Jiangsu, 226541, China.
Yuhua HeInstitute of Grain Crops, Yunnan Academy of Agricultural Sciences, Kunming, 650205, China.
Yu MaDepartment of Horticulture, Washington State University, Pullman, WA, 99164, USA.
Guan LiNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dong WangNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Yishan JiNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Hongyan ZhangQinghai Academy of Agricultural and Forestry Sciences, Ningda Road No. 253, Xining, 810016, Qinghai, China.
Mengwei LiNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xin YanNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Xuxiao ZongNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zongxuxiao@caas.cn.
Tao YangNational Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. yangtao02@caas.cn.ORCID http://orcid.org/0000-0002-9755-731X

Funding

Agricultural Science and Technology Independent Innovation Fund of Jiangsu Province CX(18)2019Agricultural Science and Technology Innovation Program ASTIPChina Agriculture Research System of MOF and MARA-Food Legumes CARS-08Construction of Molecular Database of Faba Bean and Pea and Identification of Maize Germplasm Project No.19200030Crop Germplasm Resources Protection 2130135National Key R&D Program of China 2019YFD1001300
6 · The paper itself

Abstract

key messageLarge-scale faba bean transcriptome data are available, and the first genotyping platform based on liquid-phase probe targeted capture technology was developed for genetic and molecular breeding studies. Faba bean (Vicia faba L., 2n = 12) is an important food legume crop that is widely grown for multiple uses worldwide. However, no reference genome is currently available due to its very large genome size (approximately 13 Gb) and limited single nucleotide polymorphism (SNP) markers as well as highly efficient genotyping tools have been reported for faba bean. In this study, 16.7 billion clean reads were obtained from transcriptome libraries of flowers and leaves of 102 global faba bean accessions. A total of 243,120 unigenes were de novo assembled and functionally annotated. Moreover, a total of 1,579,411 SNPs were identified and further filtered according to a selection pipeline to develop a high-throughput, flexible, low-cost Faba_bean_130K targeted next-generation sequencing (TNGS) genotyping platform. A set of 69 Chinese faba bean accessions were genotyped with the TNGS genotyping platform, and the average mapping rate of captured reads to reference transcripts was 93.14%, of which 53.23% were located in the targeted regions. The TNGS genotyping results were validated by Sanger sequencing and the average consistency rate reached 93.6%. Comprehensive population genetic analysis was performed on the 69 Chinese faba bean accessions and identified four genetic subgroups correlated with the geographic distribution. This study provides valuable genomic resources and a reliable genotyping tool that could be implemented in genetic and molecular breeding studies to accelerate new cultivar development and improvement in faba bean.

Indexed as

Gene Expression Regulation, PlantPolymorphism, Single NucleotideTranscriptomeGenome, PlantGenomicsGenotypeHigh-Throughput Nucleotide SequencingPlant ProteinsVicia fabaPlant Proteins

Identifiers

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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.