Evidence map›Paper›PMID 29892840›Full record

ArticleGenes & genomics2018

Transcriptome analysis of the threatened snail Ellobium chinense reveals candidate genes for adaptation and identifies SSRs for conservation genetics.

Se Won Kang, Bharat Bhusan Patnaik, So Young Park, Hee-Ju Hwang, Jong Min Chung, Min Kyu Sang, Hye Rin Min, Jie Eun Park, Jiyeon Seong, Yong Hun Jo and 7 more

Abstract read
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In one paragraph

Article in Genes & genomics, 2018. 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
0.8field-weighted citation impact, top 24% 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, 11 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

17 authors at 6 institutions in 1 country.

Se Won KangBiological Resources Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 181, Ipsin-gil, Jungeup-si, Jeollabuk-do, 56212, South Korea.
Bharat Bhusan PatnaikTrident School of Biotech Sciences, Trident Academy of Creative Technology (TACT), Chandaka Industrial Estate, Chandrasekharpur, Bhubaneswar, Odisha, 751024, India.
So Young ParkNakdonggang National Institute of Biological Resources, Biodiversity Conservation and Climate Change Division, 137, Donam-2-gil, Sangju-si, Gyeongsangbuk-do, 37242, South Korea.
Hee-Ju HwangDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Jong Min ChungDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Min Kyu SangDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Hye Rin MinDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Jie Eun ParkDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Jiyeon SeongGenomic Informatics Center, Hankyong National University, 327 Chungang-ro, Anseong-si, Kyonggi-do, 17579, South Korea.
Yong Hun JoDivision of Plant Biotechnology, Institute of Environmentally-Friendly (IEFA), College of Agriculture and Life Sciences, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea.
Mi Young NohDivision of Plant Biotechnology, Institute of Environmentally-Friendly (IEFA), College of Agriculture and Life Sciences, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea.
Jong Dae LeeDepartment of Environmental Health Science, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Ki Yoon JungDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea.
Hong Seog ParkResearch Institute, GnC BIO Co., LTD., 621-6 Banseok-dong, Yuseong-gu, Daejeon, 34069, South Korea.
Yeon Soo HanDivision of Plant Biotechnology, Institute of Environmentally-Friendly (IEFA), College of Agriculture and Life Sciences, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea.
Jun Sang LeeInstitute of Environmental Research, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon-si, Gangwon-do, 243341, South Korea.
Yong Seok LeeDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungcheongnam-do, 31538, South Korea. yslee@sch.ac.kr.
Soonchunhyang University · KRChonnam National University · KRHankyong National University · KRKangwon National University · KRKorea Research Institute of Bioscience and Biotechnology · KRNational Institute of Biological Resources · KR

Funding

National Institute of Biological Resources NIBR201503202
6 · The paper itself

Abstract

Ellobium chinense (Pfeiffer, 1854) is a brackish pulmonate species that inhabits the bases of mangrove trees and is most commonly found in salt grass meadows. Threats to mangrove ecosystems due to habitat degradation and overexploitation have threatened the species with extinction. In South Korea, E. chinense has been assessed as vulnerable, but there are limited data on its population structure and distribution. The nucleotide and protein sequences for this species are not available in databases, which limits the understanding of adaptation-related traits. We sequenced an E. chinense cDNA library using the Illumina platform, and the subsequent bioinformatics analysis yielded 227,032 unigenes. Of these unigenes, 69,088 were annotated to matched protein and nucleotide sequences in databases, for an annotation rate of 30.42%. Among the predominant gene ontology terms, cellular and metabolic processes (under the biological process category), membrane and cell (under the cellular component category), and binding and catalytic activity (under the molecular function category) were noteworthy. In addition, 4850 unigenes were distributed to 15 Kyoto Encyclopaedia of Genes and Genomes based enrichment categories. Among the candidate genes related to adaptation, angiotensin I converting enzyme, adenylate cyclase activating polypeptide, and AMP-activated protein kinase were the most prominent. A total of 15,952 simple sequence repeats (SSRs) were identified in sequences of > 1 kb in length. The di- and trinucleotide repeat motifs were the most common. Among the repeat motif types, AG/CT, AC/GT, and AAC/GTT dominated. Our study provides the first comprehensive genomics dataset for E. chinense, which favors conservation programs for the restoration of the species and provides sufficient evidence for genetic variability among the wild populations.

Indexed as

Adaptation, BiologicalAnimalsBase CompositionBase SequenceGene Expression ProfilingGene OntologyGenomeGenomicsHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsMolecular Sequence AnnotationNucleotide MotifsSequence Analysis, DNASnailsEllobium chinenseIllumina sequencingSimple sequence repeatsTranscriptome

Identifiers

PMID29892840
OpenAlexW2774983012

What OpenQuestion holds

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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.