Evidence map›Paper›PMID 30808280›Full record

ArticleBMC genomics2019

Transcriptome analysis of air-breathing land slug, Incilaria fruhstorferi reveals functional insights into growth, immunity, and reproduction.

Bharat Bhusan Patnaik, Jong Min Chung, Hee Ju Hwang, Min Kyu Sang, Jie Eun Park, Hye Rin Min, Hang Chul Cho, Neha Dewangan, Snigdha Baliarsingh, Se Won Kang and 7 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Bharat Bhusan PatnaikSchool of Biotech Sciences, Trident Academy of Creative Technology (TACT), F2-B, Chandaka Industrial Estate, Chandrasekharpur, Bhubaneswar, Odisha, 751024, India.
Jong Min ChungDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Hee Ju HwangDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Min Kyu SangDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Jie Eun ParkDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Hye Rin MinDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Hang Chul ChoDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Neha DewanganSchool of Biotech Sciences, Trident Academy of Creative Technology (TACT), F2-B, Chandaka Industrial Estate, Chandrasekharpur, Bhubaneswar, Odisha, 751024, India.
Snigdha BaliarsinghSchool of Biotech Sciences, Trident Academy of Creative Technology (TACT), F2-B, Chandaka Industrial Estate, Chandrasekharpur, Bhubaneswar, Odisha, 751024, India.
Se Won KangBiological Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 181, Ipsin-gil, Jungeup-si, Jeollabuk-do, 56212, South Korea.
So Young ParkNakdonggang National Institute of Biological Resources, Biodiversity Conservation and Change Research Division, 137, Donam-2-gil, Sangju-si, Gyeongsangbuk-do, 37242, South Korea.
Yong Hun JoCollege of Agriculture and Life Science, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea.
Hong Seog ParkResearch Institute, GnC BIO Co., LTD, 621-6 Banseok-dong, Yuseong-gu, Daejeon, 34069, Republic of Korea.
Wan Jong KimDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Yeon Soo HanCollege of Agriculture and Life Science, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea.
Jun Sang LeeInstitute of Basic Science, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea.
Yong Seok LeeDepartment of Life Science and Biotechnology, College of Natural Sciences, Soonchunhyang University, 22 Soonchunhyangro, Shinchang-myeon, Asan, Chungchungnam-do, 31538, South Korea. yslee@sch.ac.kr.

Funding

Ministry of Science, ICT and Future Planning NRF-2017-R1D1A3B06034971National Institute of Biological Resources NIBR201703203
6 · The paper itself

Abstract

backgroundIncilaria (= Meghimatium) fruhstorferi is an air-breathing land slug found in restricted habitats of Japan, Taiwan and selected provinces of South Korea (Jeju, Chuncheon, Busan, and Deokjeokdo). The species is on a decline due to depletion of forest cover, predation by natural enemies, and collection. To facilitate the conservation of the species, it is important to decide on a number of traits related to growth, immunity and reproduction addressing fitness advantage of the species.

resultsThe visceral mass transcriptome of I. fruhstorferi was enabled using the Illumina HiSeq 4000 sequencing platform. According to BUSCO (Benchmarking Universal Single-Copy Orthologs) method, the transcriptome was considered complete with 91.8% of ortholog genes present (Single: 70.7%; Duplicated: 21.1%). A total of 96.79% of the raw read sequences were processed as clean reads. TransDecoder identified 197,271 contigs that contained candidate-coding regions. Of a total of 50,230 unigenes, 34,470 (68.62% of the total unigenes) annotated to homologous proteins in the Protostome database (PANM-DB). The GO term and KEGG pathway analysis indicated genes involved in metabolism, phosphatidylinositol signalling system, aminobenzoate degradation, and T-cell receptor signalling pathway. Many genes associated with molluscan innate immunity were categorized under pathogen recognition receptor, TLR signalling pathway, MyD88 dependent pathway, endogenous ligands, immune effectors, antimicrobial peptides, apoptosis, and adaptation-related. The reproduction-associated unigenes showed homology to protein fem-1, spermatogenesis-associated protein, sperm associated antigen, and testis expressed sequences, among others. In addition, we identified key growth-related genes categorized under somatotrophic axis, muscle growth, chitinases and collagens. A total of 4822 Simple Sequence Repeats (SSRs) were also identified from the unigene sequences of I. fruhstorferi.

conclusionsThis is the first available genomic information for non-model land slug, I. fruhstorferi focusing on genes related to growth, immunity, and reproduction, with additional focus on microsatellites and repeating elements. The transcriptome provides access to greater number of traits of unknown relevance in the species that could be exploited for in-depth analyses of evolutionary plasticity and making informed choices during conservation planning. This would be appropriate for understanding the dynamics of the species on a priority basis considering the ecological, health, and social benefits.

Indexed as

AnimalsDNAGastropodaGene Expression ProfilingImmunityMicrosatellite RepeatsMolecular Sequence AnnotationMuscle DevelopmentRepetitive Sequences, Nucleic AcidReproductionSequence Analysis, RNASequence Homology, Nucleic AcidSex Determination ProcessesDNAde novo analysisImmunityIncilaria fruhstorferiPeptidoglycan recognition proteinSex-linked genesSimple sequence repeatsTollipTransciptome

Identifiers

PMID30808280
PMCPMC6390351

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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.