Evidence map›Paper›PMID 30774580›Full record

ArticleHereditas2019

Characterization of the Tibet plateau Jerusalem artichoke (

Shipeng Yang, Xuemei Sun, Xiaoting Jiang, Lihui Wang, Jie Tian, Li Li, Mengliang Zhao, Qiwen Zhong

Open access · goldAbstract read
In one paragraph

Article in Hereditas, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 24 citations in OpenAlex.

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  4. Ethyl Acetate Fraction ofAntioxidants (Basel, Switzerland) · 2021
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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

8 authors at 2 institutions in 1 country.

Shipeng Yang *1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Xuemei Sun *1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Xiaoting JiangQinghai Higher Vocational & Technical College Institute, Ledu, 810799 China.
Lihui Wang1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Jie Tian1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Li Li1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Mengliang Zhao1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Qiwen Zhong1Academy of Agriculture and Forestry Sciences of Qinghai University (Qinghai Academy of Agriculture and Forestry Sciences), Qinghai Key Laboratory of Vegetable Genetics and Physiology, State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016 China.
Qinghai University · CNState Key Laboratory of Plateau Ecology and Agriculture

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJerusalem artichoke (

resultsQinghai-Tibet Plateau Jerusalem artichoke "Qingyu No.1" was used as the material; roots, stems, leaves, flowers and tubers of Jerusalem artichoke in its flowering stage were mixed into a mosaic of the Jerusalem artichoke transcriptome library, obtaining 63,089 unigenes with an average length of 713.6 bp. Gene annotation through the Nr, Swiss Prot, GO, KOG and KEGG databases revealed 34.95 and 46.91% of these unigenes had similar sequences in the Nr and Swiss Prot databases. The GO classification showed the Jerusalem artichoke unigenes were divided into three ontologies, with a total of 49 functional groups encompassing biological processes, cellular components, and molecular functions. Among them, there were more unigenes involved in the functional groups for cellular processes, metabolic processes, and single-organism processes. 38,999 unigenes were annotated by KOG and divided into 25 categories according to their functions; the most common annotation being general function prediction. A total of 13,878 unigenes (22%) were annotated in the KEGG database, with the largest proportion corresponding to pathways related to carbohydrate metabolism. A total of 12 unigenes were involved in the synthesis and degradation of fructan. Cluster analysis revealed the candidate 12 unigene proteins were dispersed in the 5 major families of proteins involved in fructan synthesis and degradation. The synergistic effect of INV gene is necessary during fructose synthesis and degradation in Jerusalem artichoke tuber development. The sequencing data from the transcriptome of this species can provide a reliable data basis for the identification and assessment of the expression of the members of the INV gene family.A simple sequence repeat (SSR) loci search was performed on the transcriptome data of Jerusalem artichoke, identifying 6635 eligible SSR loci with a large proportion of dinucleotide and trinucleotide repeats, and the most different motifs were repeated 5 times and 6 times. Dinucleotide and trinucleotide repeat motifs were the most frequent, with AG/CT and ACC/GGT repeat motifs accounting for the highest proportion.

conclusionsIn this study, a database search of the transcriptome of the Jerusalem artichoke from the Qinghai Tibet Plateau was conducted by high throughput sequencing technology to obtain important transcriptional and SSR loci information. This allowed characterization of the overall expression features of the Jerusalem artichoke transcriptome, identifying the key genes involved in metabolism in this species. In turn, this offers a foundation for further research on the regulatory mechanisms of fructan metabolism in Jerusalem artichoke.

Indexed as

TranscriptomeCarbohydrate MetabolismFructansHelianthusHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMolecular Sequence AnnotationTibetFructansGene analysisHelianthus tuberosus L.Simple sequence repeatsTranscriptome

Identifiers

PMID30774580
PMCPMC6364414
OpenAlexW2921057154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.