Evidence map›Paper›PMID 38459039›Full record

ArticleScientific data2024

A chromosome-level genome for the flower thrips Frankliniella intonsa.

Wei Song, Jia-Xu Wang, Li-Jun Cao, Jin-Cui Chen, Wen-Xue Bao, Min Chen, Shu-Jun Wei

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

7 authors at 3 institutions in 1 country.

Wei SongInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Jia-Xu WangInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Li-Jun CaoInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Jin-Cui ChenInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Wen-Xue BaoCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, 010019, China.
Min ChenBeijing Key Laboratory for Forest Pests Control, Beijing Forestry University, Beijing, 100083, China.
Shu-Jun WeiInstitute of Plant Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. shujun268@163.com.ORCID 0000-0001-7398-0968
Institute of Plant Protection · CNBeijing Forestry University · CNInner Mongolia Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The flower thrips Frankliniella intonsa (Thysanoptera: Thripidae) is a common insect found in flowers of many plants. Sometimes, F. intonsa causes damage to crops through direct feeding and transmission of plant viruses. Here, we assembled a chromosomal level genome of F. intonsa using the Illumina, Oxford Nanopore (ONT), and Hi-C technologies. The assembled genome had a size of 209.09 Mb, with a contig N50 of 997 bp, scaffold N50 of 13.415 Mb, and BUSCO completeness of 92.5%. The assembled contigs were anchored on 15 chromosomes. A set of 14,109 protein-coding genes were annotated in the genome with a BUSCO completeness of 95.0%. The genome contained 491 non-coding RNA and 0.57% of interspersed repeats. This high-quality genome provides a valuable resource for understanding the ecology, genetics, and evolution of F. intonsa, as well as for controlling thrips pests.

Indexed as

Genome, InsectThysanopteraAnimalsChromosomesFlowers

Identifiers

PMID38459039
PMCPMC10923943
OpenAlexW4392597460

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.