Evidence map›Paper›PMID 38509284›Full record

ArticlePlant molecular biology2024

Full-length transcriptome analysis of Ophioglossum vulgatum: effects of experimentally identified chloroplast gene clusters on expression and evolutionary patterns.

Jing Hao, Yingyi Liang, Jingyao Ping, Ting Wang, Yingjuan Su

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Article in Plant molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.1field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jing HaoSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.ORCID http://orcid.org/0000-0003-1772-6345
Yingyi LiangCollege of Life Sciences, South China Agricultural University, Guangzhou, 510642, China.
Jingyao PingSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
Ting WangCollege of Life Sciences, South China Agricultural University, Guangzhou, 510642, China. tingwang@scau.edu.cn.ORCID http://orcid.org/0000-0001-5025-4584
Yingjuan SuSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China. suyj@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-6110-2869
Sun Yat-sen University · CNSouth China Agricultural University · CN

Funding

National Natural Science Foundation of China 31872670National Natural Science Foundation of China 32071781
6 · The paper itself

Abstract

Genes with similar or related functions in chloroplasts are often arranged in close proximity, forming clusters on chromosomes. These clusters are transcribed coordinated to facilitate the expression of genes with specific function. Our previous study revealed a significant negative correlation between the chloroplast gene expression level of the rare medicinal fern Ophioglossum vulgatum and its evolutionary rates as well as selection pressure. Therefore, in this study, we employed a combination of SMRT and Illumina sequencing technology to analyze the full-length transcriptome sequencing of O. vulgatum for the first time. In particular, we experimentally identified gene clusters based on transcriptome data and investigated the effects of chloroplast gene clustering on expression and evolutionary patterns. The results revealed that the total sequenced data volume of the full-length transcriptome of O. vulgatum amounted to 71,950,652,163 bp, and 110 chloroplast genes received transcript coverage. Nine different types of gene clusters were experimentally identified in their transcripts. The chloroplast cluster genes may cause a decrease in non-synonymous substitution rate and selection pressure, as well as a reduction in transversion rate, transition rate, and their ratio. While expression levels of chloroplast cluster genes in leaf, sporangium, and stem would be relatively elevated. The Mann-Whitney U test indicated statistically significant in the selection pressure, sporangia and leaves groups (P < 0.05). We have contributed novel full-length transcriptome data resources for ferns, presenting new evidence on the effects of chloroplast gene clustering on expression land evolutionary patterns, and offering new theoretical support for transgenic research through gene clustering.

Indexed as

FernsGenes, ChloroplastBiological EvolutionGene Expression ProfilingTranscriptomeChloroplast gene clusterEvolutionary patternExpression levelFull-length transcriptomeOphioglossum vulgatum

Identifiers

PMID38509284
OpenAlexW4393053227

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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.