Developmental Regulation of Genes Encoding Universal Stress Proteins in Schistosoma mansoni

Author:

Isokpehi Raphael D.12,Mahmud Ousman12,Mbah Andreas N.1,Simmons Shaneka S.12,Avelar Lívia34,Rajnarayanan Rajendram V.5,Udensi Udensi K.1,Ayensu Wellington K.12,Cohly Hari H.12,Brown Shyretha D.12,Dates Centdrika R.12,Hentz Sonya D.2,Hughes Shawntae J.12,Smith-McInnis Dominique R.12,Patterson Carvey O.2,Sims Jennifer N.12,Turner Kelisha T.2,Williams Baraka S.12,Johnson Matilda O.6,Adubi Taiwo78,Mbuh Judith V.79,Anumudu Chiaka I.710,Adeoye Grace O.78,Thomas Bolaji N.11,Nashiru Oyekanmi12,Oliveira Guilherme3

Affiliation:

1. Center for Bioinformatics & Computational Biology, Department of Biology, Jackson State University, Jackson, Mississippi, USA.

2. Department of Biology, Jackson State University, Jackson, Mississippi, USA.

3. Genetics and Computational Biology Group, Centro de Pesquisas René Rachou/FlOCRUZ-MG, Av. Augusto de Lima, 1715, Barro Preto, CEP 30190-002, Belo Horizonte-MG, Brazil.

4. Universidade Federal de Minas Gerais/Departamento de Genética, Av. Antônio Carlos, 6627, Pampulha, CEP 31270-901, Belo Horizonte-MG, Brazil.

5. Department of Pharmacology and Toxicology, State University of New York at Buffalo, Buffalo, New York, USA.

6. Department of Environmental Sciences, University of South Africa, Pretoria, South Africa.

7. Participant, International Center for Genetic Engineering and Biotechnology/National Biotechnology Development Agency/West African Biotechnology Workshop Series, Ibadan Nigeria.

8. Department of Zoology, University of Lagos, Akoka, Yaba, Lagos, Nigeria.

9. Department of Life Sciences, University of Buea, Buea, Cameroon.

10. Department of Zoology, University of Ibadan, Ibadan, Nigeria.

11. Department of Biological and Medical Sciences, Rochester Institute of Technology, Rochester, New York, USA.

Abstract

The draft nuclear genome sequence of the snail-transmitted, dimorphic, parasitic, platyhelminth Schistosoma mansoni revealed eight genes encoding proteins that contain the Universal Stress Protein (USP) domain. Schistosoma mansoni is a causative agent of human schistosomiasis, a severe and debilitating Neglected Tropical Disease (NTD) of poverty, which is endemic in at least 76 countries. The availability of the genome sequences of Schistosoma species presents opportunities for bioinformatics and genomics analyses of associated gene families that could be targets for understanding schistosomiasis ecology, intervention, prevention and control. Proteins with the USP domain are known to provide bacteria, archaea, fungi, protists and plants with the ability to respond to diverse environmental stresses. In this research investigation, the functional annotations of the USP genes and predicted nucleotide and protein sequences were initially verified. Subsequently, sequence clusters and distinctive features of the sequences were determined. A total of twelve ligand binding sites were predicted based on alignment to the ATP-binding universal stress protein from Methanocaldococcus jannaschii. In addition, six USP sequences showed the presence of ATP-binding motif residues indicating that they may be regulated by ATP. Public domain gene expression data and RT-PCR assays confirmed that all the S. mansoni USP genes were transcribed in at least one of the developmental life cycle stages of the helminth. Six of these genes were up-regulated in the miracidium, a free-swimming stage that is critical for transmission to the snail intermediate host. It is possible that during the intra-snail stages, S. mansoni gene transcripts for universal stress proteins are low abundant and are induced to perform specialized functions triggered by environmental stressors such as oxidative stress due to hydrogen peroxide that is present in the snail hemocytes. This report serves to catalyze the formation of a network of researchers to understand the function and regulation of the universal stress proteins encoded in genomes of schistosomes and their snail intermediate hosts.

Publisher

SAGE Publications

Subject

Computer Science Applications,Genetics,Molecular Biology,Ecology, Evolution, Behavior and Systematics

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