Evidence map›Paper›PMID 31101011›Full record

ArticleBMC genomics2019

Development of a transcriptomic database for 14 species of scleractinian corals.

Yanjie Zhang, Qian Chen, James Y Xie, Yip Hung Yeung, Baohua Xiao, Baoling Liao, Jianliang Xu, Jian-Wen Qiu

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Transcriptomics of theEcology and evolution · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Yanjie ZhangHKBU Institute of Research and Continuing Education, Virtual University Park, Gaoxin South 4th Road, Shenzhen, 518057, China.
Qian ChenDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, China.
James Y XieDepartment of Biology, Hong Kong Baptist University, Hong Kong, China.
Yip Hung YeungDepartment of Biology, Hong Kong Baptist University, Hong Kong, China.
Baohua XiaoShenzhen Institute of Guangdong Ocean University, Shenzhen, China.
Baoling LiaoShenzhen Institute of Guangdong Ocean University, Shenzhen, China.
Jianliang XuDepartment of Computer Science, Hong Kong Baptist University, Hong Kong, China. xujl@comp.hkbu.edu.hk.
Jian-Wen QiuHKBU Institute of Research and Continuing Education, Virtual University Park, Gaoxin South 4th Road, Shenzhen, 518057, China. qiujw@hkbu.edu.hk.ORCID http://orcid.org/0000-0002-1541-9627

Funding

Environment and Conservation Fund, Hong Kong 2017-03General Research Fund of Hong Kong 12102018Shenzhen Science and Technology Innovation Committee (CN) JCYJ20170307161326613
6 · The paper itself

Abstract

backgroundScleractinian corals are important reef builders, but around the world they are under the threat of global climate change as well as local stressors. Molecular resources are critical for understanding a species' stress responses and resilience to the changing environment, but such resources are unavailable for most scleractinian corals, especially those distributed in the South China Sea. We therefore aimed to provide transcriptome resources for 14 common species, including a few structure forming species, in the South China Sea. DESCRIPTION: We sequenced the transcriptome of 14 species of scleractinian corals using high-throughput RNA-seq and conducted de novo assembly. For each species, we produced 7.4 to 12.0 gigabases of reads, and assembled them into 271 to 762 thousand contigs with a N50 value of 629 to 1427 bp. These contigs included 66 to 114 thousand unigenes with a predicted open reading frame, and 74.3 to 80.5% of the unigenes were functionally annotated. In the azooxanthelate species Tubastraea coccinea, 41.5% of the unigenes had at least a best-hit sequence from corals. In the other thirteen species, 20.2 to 48.9% of the annotated unigenes had best-hit sequences from corals, and 28.3 to 51.6% from symbiotic algae belonging to the family Symbiodinaceae. With these resources, we developed a transcriptome database (CoralTBase) which features online BLAST and keyword search for unigenes/functional terms through a user friendly Internet interface. SHORT

conclusionWe developed comprehensive transcriptome resources for 14 species of scleractinian corals and constructed a publicly accessible database ( www.comp.hkbu.edu.hk/~db/CoralTBase ). CoralTBase will facilitate not only functional studies using these corals to understand the molecular basis of stress responses and adaptation, but also comparative transcriptomic studies with other species of corals and more distantly related cnidarians.

Indexed as

Databases, GeneticMolecular Sequence AnnotationTranscriptomeAnimalsAnthozoaComputational BiologyHigh-Throughput Nucleotide SequencingSymbiosisCoralCoral reefDatabaseScleractiniaSymbiotic algaeTranscriptome

Identifiers

PMID31101011
PMCPMC6525400

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.