Development of Massive Molecular Biomarker Analysis (“Biomarkomics”) in Non-model Species: The Transcriptome of Rhinella arenarum (Anura, Bufonidae) Larvae Exposed to Organophosphorus Pesticides as a Case Example

Author:

Venturino Andrés1,Ceschin Danilo2,Lascano Cecilia3

Affiliation:

1. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue (CITAAC), Universidad Nacional del Comahue-CONICET a 8300 Buenos Aires 1400, Neuquén Argentina a.venturino@conicet.gov.ar

2. Instituto Universitario de Ciencias Biomédicas de Córdoba (IUCBC), Centro de Investigación en Medicina Traslacional “Severo R. Amuchástegui” (CIMETSA); vinculated to: Instituto de Investigación Médica Mercedes y Martín Ferreyra (INIMEC-CONICET- Universidad Nacional de Córdoba) b Av. Naciones Unidas 420, 5016 Córdoba Argentina

3. Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue (CITAAC), Universidad Nacional del Comahue-CONICET a 8300 Buenos Aires 1400, Neuquén Argentina

Abstract

The development of massive sequencing technologies has led to an impressive increase in data acquisition capacity and analysis. The study of differential expression of genes (DEG) in species exposed to contaminants using whole transcriptomics enables a response pattern as a massive molecular biomarker fingerprint. This biomarkomic approach has been recently applied to the autochthonous, non-model amphibian Rhinella arenarum exposed to organophosphorus pesticides. The whole transcriptome study enabled the annotation of approximately 57 thousand gene sequences, an excellent starting point considering that the R. arenarum genome remains unknown. In parallel, massive biomarkomic analysis has confirmed that a few top-regulated genes are commonly affected by contaminant exposure, while more genes are specifically affected by either organophosphorus pesticide. Interestingly, none of the target or responding genes typically recognized for organophosphorus pesticides at the biochemical or molecular levels were found among the top-regulated genes in the biomarkomic analysis. This fact was also confirmed by a hypothesis-driven DEG analysis focused on these recognized targets for organophosphorus effects and responses, except for a very few genes related to detoxification, metabolism, and regulation. Our efforts are now directed to long-noncoding RNA biomarkomics as well as the extension of our transcriptomic studies to other contaminants and other aquatic autochthonous species.

Publisher

Royal Society of Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3