Evidence map›Paper›PMID 38594303›Full record

ArticleScientific data2024

High-quality faba bean reference transcripts generated using PacBio and Illumina RNA-seq data.

Na Zhao, Enqiang Zhou, Yamei Miao, Dong Xue, Yongqiang Wang, Kaihua Wang, Chunyan Gu, Mengnan Yao, Yao Zhou, Bo Li and 2 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 6 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

12 authors at 1 institution in 1 country.

Na ZhaoDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Enqiang ZhouDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Yamei MiaoDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Dong XueDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Yongqiang WangDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Kaihua WangDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Chunyan GuDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Mengnan YaoDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Yao ZhouDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Bo LiDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China.
Xuejun WangDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China. wangxj4002@sina.com.
Libin WeiDepartment of Economic Crops, Jiangsu Yanjiang Institute of Agricultural Science, Nantong, China. libinwei2013@aliyun.com.
Jiangsu Academy of Agricultural Sciences · CN

Funding

Earmarked Fund for China Agriculture Research System CARS-08-Z10Jiangsu Agricultural Science and Technology Innovation Fund (JASTIF) CX (22)3144
6 · The paper itself

Abstract

The genome of faba bean was first published in 2023. To promote future molecular breeding studies, we improved the quality of the faba genome based on high-density genetic maps and the Illumina and Pacbio RNA-seq datasets. Two high-density genetic maps were used to conduct the scaffold ordering and orientation of faba bean, culminating in an increased length (i.e., 14.28 Mbp) of chromosomes and a decrease in the number of scaffolds by 45. In gene model mining and optimisation, the PacBio and Illumina RNA-seq datasets from 37 samples allowed for the identification and correction 121,606 transcripts, and the data facilitated a prediction of 15,640 alternative splicing events, 2,148 lncRNAs, and 1,752 fusion transcripts, thus allowing for a clearer understanding of the gene structures underlying the faba genome. Moreover, a total of 38,850 new genes including 56,188 transcripts were identified compared with the reference genome. Finally, the genetic data of the reference genome was integrated and a comprehensive and complete faba bean transcriptome sequence of 103,267 transcripts derived from 54,753 uni-genes was formed.

Indexed as

TranscriptomeVicia fabaAlternative SplicingChromosome MappingGenome, PlantPlant BreedingRNA-Seq

Identifiers

PMID38594303
PMCPMC11003973
OpenAlexW4394603045

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.