1
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Zass L, Mwapagha LM, Louis-Jacques AF, Allali I, Mulindwa J, Kiran A, Hanachi M, Souiai O, Mulder N, Oduaran OH. Advancing microbiome research through standardized data and metadata collection: introducing the Microbiome Research Data Toolkit. Database (Oxford) 2024; 2024:baae062. [PMID: 39167718 PMCID: PMC11338178 DOI: 10.1093/database/baae062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/28/2024] [Accepted: 08/15/2024] [Indexed: 08/23/2024]
Abstract
Microbiome research has made significant gains with the evolution of sequencing technologies. Ensuring comparability between studies and enhancing the findability, accessibility, interoperability and reproducibility of microbiome data are crucial for maximizing the value of this growing body of research. Addressing the challenges of standardized metadata reporting, collection and curation, the Microbiome Working Group of the Human Hereditary and Health in Africa (H3Africa) consortium aimed to develop a comprehensive solution. In this paper, we present the Microbiome Research Data Toolkit, a versatile tool designed to standardize microbiome research metadata, facilitate MIxS-MIMS and PhenX reporting, standardize prospective collection of participant biological and lifestyle data, and retrospectively harmonize such data. This toolkit enables past, present and future microbiome research endeavors to collaborate effectively, fostering novel collaborations and accelerating knowledge discovery in the field. Database URL: https://doi.org/10.25375/uct.24218999.v2.
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Affiliation(s)
- Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Rondebosch, Cape Town 7701, South Africa
| | - Lamech M Mwapagha
- Department of Biology, Chemistry and Physics, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Private Bag 13388, 13 Jackson Kaujeua Street, Windhoek, Namibia
| | - Adetola F Louis-Jacques
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Florida, 1600 SW Archer Road, Gainesville, FL 32610, USA
| | - Imane Allali
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco
| | - Julius Mulindwa
- Department of Biochemistry and Sports Sciences, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda
| | - Anmol Kiran
- Malawi-Liverpool-Wellcome Trust, P.O. Box 30096, Blantyre 3, Malawi
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool CH64 7TE, UK
| | - Mariem Hanachi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, 13, Place Pasteur, B.P. 74, Tunis 1002, Tunisia
| | - Oussama Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, 13, Place Pasteur, B.P. 74, Tunis 1002, Tunisia
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Rondebosch, Cape Town 7701, South Africa
| | - Ovokeraye H Oduaran
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, 9 Jubilee Road, Parktown 2193, Johannesburg, Johannesburg, South Africa
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2
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Akintola AA, Aborode AT, Hamza MT, Amakiri A, Moore B, Abdulai S, Iyiola OA, Sulaimon LA, Effiong E, Ogunyemi A, Dosunmu B, Maigoro AY, Lawal O, Raheem K, Hwang UW. Bioinformatics proficiency among African students. FRONTIERS IN BIOINFORMATICS 2024; 4:1328714. [PMID: 38966162 PMCID: PMC11222312 DOI: 10.3389/fbinf.2024.1328714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 01/25/2024] [Indexed: 07/06/2024] Open
Abstract
Bioinformatics, the interdisciplinary field that combines biology, computer science, and data analysis, plays a pivotal role in advancing our understanding of life sciences. In the African context, where the diversity of biological resources and healthcare challenges is substantial, fostering bioinformatics literacy and proficiency among students is important. This perspective provides an overview of the state of bioinformatics literacy among African students, highlighting the significance, challenges, and potential solutions in addressing this critical educational gap. It proposes various strategies to enhance bioinformatics literacy among African students. These include expanding educational resources, fostering collaboration between institutions, and engaging students in research projects. By addressing the current challenges and implementing comprehensive strategies, African students can harness the power of bioinformatics to contribute to innovative solutions in healthcare, agriculture, and biodiversity conservation, ultimately advancing the continent's scientific capabilities and improving the quality of life for her people. In conclusion, promoting bioinformatics literacy among African students is imperative for the continent's scientific development and advancing frontiers of biological research.
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Affiliation(s)
- Ashraf Akintayo Akintola
- School of Industrial Technology Advances, Kyungpook National University, Daegu, Republic of Korea
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
| | - Abdullahi Tunde Aborode
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Department of Chemistry, Mississippi State University, Starkville, MS, United States
| | - Muhammed Taofiq Hamza
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Green Climate Fund, Incheon, Republic of Korea
| | - Augustine Amakiri
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- ProCogia, Vancouver, BC, Canada
| | - Benjamin Moore
- European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Suliat Abdulai
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Department of Biochemistry, Fountain University, Osogbo, Nigeria
| | | | - Lateef Adegboyega Sulaimon
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Department of Biochemistry, Crescent University, Abeokuta, Nigeria
| | - Effiong Effiong
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Department of Medical Laboratory Sciences, Babcock University, Ilishan-Remo, Nigeria
| | - Adedeji Ogunyemi
- Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, United States
| | | | - Abdulkadir Yusif Maigoro
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Department of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon, Republic of Korea
| | - Opeyemi Lawal
- Department of Food Science, University of Guelph, Guelph, ON, Canada
| | - Kayode Raheem
- NOBLEKINMAT Ltd. Bioinformatics Research Group, Ibadan, Nigeria
- Cancer Research Artificial Intelligence (CARESAI), Hobart, Australia
| | - Ui Wook Hwang
- School of Industrial Technology Advances, Kyungpook National University, Daegu, Republic of Korea
- Department of Biology, Teachers College and Institute for Phylogenomics and Evolution, Kyungpook National University, Daegu, Republic of Korea
- Institute for Korean Herb-Bio Convergence Promotion, Kyungpook National University, Daegu, Republic of Korea
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3
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Hamdi Y, Boujemaa M, Ben Aissa-Haj J, Radouani F, Khyatti M, Mighri N, Hannachi M, Ghedira K, Souiai O, Hkimi C, Kammoun MS, Mejri N, Bouaziz H, Beloufa MA, Charoute H, Barakat A, Najjar I, Taniguchi H, Pietrosemoli N, Dellagi K, Abdelhak S, Boubaker MS, Chica C, Rouleau E. A regionally based precision medicine implementation initiative in North Africa:The PerMediNA consortium. Transl Oncol 2024; 44:101940. [PMID: 38537326 PMCID: PMC11391035 DOI: 10.1016/j.tranon.2024.101940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/23/2024] [Accepted: 03/11/2024] [Indexed: 04/21/2024] Open
Abstract
Precision Medicine is being increasingly used in the developed world to improve health care. While several Precision Medicine (PM) initiatives have been launched worldwide, their implementations have proven to be more challenging particularly in low- and middle-income countries. To address this issue, the "Personalized Medicine in North Africa" initiative (PerMediNA) was launched in three North African countries namely Tunisia, Algeria and Morocco. PerMediNA is coordinated by Institut Pasteur de Tunis together with the French Ministry for Europe and Foreign Affairs, with the support of Institut Pasteur in France. The project is carried out along with Institut Pasteur d'Algérie and Institut Pasteur du Maroc in collaboration with national and international leading institutions in the field of PM including Institut Gustave Roussy in Paris. PerMediNA aims to assess the readiness level of PM implementation in North Africa, to strengthen PM infrastructure, to provide workforce training, to generate genomic data on North African populations, to implement cost effective, affordable and sustainable genetic testing for cancer patients and to inform policy makers on how to translate research knowledge into health products and services. Gender equity and involvement of young scientists in this implementation process are other key goals of the PerMediNA project. In this paper, we are describing PerMediNA as the first PM implementation initiative in North Africa. Such initiatives contribute significantly in shortening existing health disparities and inequities between developed and developing countries and accelerate access to innovative treatments for global health.
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Affiliation(s)
- Yosr Hamdi
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia.
| | - Maroua Boujemaa
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Jihenne Ben Aissa-Haj
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia; Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia
| | - Fouzia Radouani
- Chlamydiae and Mycoplasmas Laboratory, Research Department, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Meriem Khyatti
- Laboratory of Viral Oncology, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Najah Mighri
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Mariem Hannachi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Kais Ghedira
- Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Chaima Hkimi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Mohamed Selim Kammoun
- Laboratory of Bioinformatics, Biomathematics and Biostatistics LR20IPT09, Pasteur Institute of Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Nesrine Mejri
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia; Medical Oncology Department, Abderrahmane Mami Hospital, Faculty of Medicine, University Tunis El Manar, Tunis, Tunisia
| | - Hanen Bouaziz
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia; Department of Carcinological Surgery, Salah Azaiez Institute, Tunis, Tunisia
| | | | - Hicham Charoute
- Research unit of Epidemiology, Biostatistics and Bioinformatics, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Abdelhamid Barakat
- Laboratory of Genomics and Human Genetics, Institut Pasteur du Maroc 20360, Casablanca, Morocco
| | - Imène Najjar
- Biomics, Center for Technological Resources and Research (C2RT), Institut Pasteur, Paris 75015, France
| | - Hiroaki Taniguchi
- The Polish Academy of Sciences, Poland; University Mohamed VI, Morocco
| | - Natalia Pietrosemoli
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub F-75015, Paris, France
| | - Koussay Dellagi
- Pasteur Network Association, Institut Pasteur, Paris, France
| | - Sonia Abdelhak
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia
| | - Mohamed Samir Boubaker
- Laboratory of Biomedical Genomics and Oncogenetics, LR20IPT05, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis 1002, Tunisia; Department of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis 1002, Tunisia
| | - Claudia Chica
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub F-75015, Paris, France
| | - Etienne Rouleau
- Department of Biology and Pathology-Cancer Genetics Laboratory-Gustave Roussy 94805, Villejuif, France
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4
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Nacis JS, Kamande P, Toni AT, Mudibo E, Musyimi R, Popluechai S, Dailey-Chwalibóg T, Voskuijl W, Dable-Tupas G, Shahid ASMSB, Bascos NA, Afroze F, Chisti MJ, Singa B, Ngari M, Tigoi C, Mhango G, Freitag H, Potani I, Mukisa J, Kirolos A, Mutasa K, Ouédraogo LO, Prentice AM, Girma T, Prendergast AJ, Njunge J, Kelly P, Berkley JA, Tickell KD, Gonzales GB. Barriers and enablers to the effective implementation of omics research in low- and middle-income countries. Nat Biotechnol 2024; 42:988-991. [PMID: 38886608 DOI: 10.1038/s41587-024-02274-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Affiliation(s)
- Jacus S Nacis
- Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI), Taguig, Philippines
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
| | - Patrick Kamande
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
- Department of Food, Nutrition & Dietetics, Kenyatta University, Nairobi, Kenya
| | - Alemayehu Teklu Toni
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
- Department of Pediatrics and Child Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Evans Mudibo
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
| | - Robert Musyimi
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
| | - Siam Popluechai
- School of Science, Mae Fah Luang University, Chiang Rai, Thailand
| | - Trenton Dailey-Chwalibóg
- Department of Food Technology, Safety, and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
- Agence de Formation de Recherche et d'Expertise en Santé pour l'Afrique (AFRICSanté), Bobo-Dioulasso, Burkina Faso
| | - Wieger Voskuijl
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- Amsterdam UMC, Emma Children's Hospital, Amsterdam, the Netherlands
- Amsterdam UMC, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands
- Department of Paediatrics and Child Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - Genevieve Dable-Tupas
- Center for Research and Development and Department of Pharmacology, College of Medicine, Davao Medical School Foundation, Davao City, Philippines
| | | | - Neil Andrew Bascos
- National Institute of Molecular Biology and Biotechnology, University of the Philippines - Diliman, Quezon City, Philippines
- Protein, Proteomics and Metabolomics Facility, Philippine Genome Center, University of the Philippines System, Quezon City, Philippines
| | - Farzana Afroze
- Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Mohammod Jobayer Chisti
- Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Benson Singa
- Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Moses Ngari
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
| | - Caroline Tigoi
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
| | | | - Harry Freitag
- Department of Nutrition and Health and Center for Health and Human Nutrition, FK-KMK, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Isabel Potani
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- Kamuzu University of Health Sciences, Blantyre, Malawi
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontaria, Canada
| | - John Mukisa
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- Department of Immunology and Molecular Biology, Makerere University, Kampala, Uganda
| | - Amir Kirolos
- Department of Women and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi
| | - Kuda Mutasa
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
| | - Lionel Olivier Ouédraogo
- Agence de Formation de Recherche et d'Expertise en Santé pour l'Afrique (AFRICSanté), Bobo-Dioulasso, Burkina Faso
- Centre Muraz, Bobo-Dioulasso, Burkina Faso
| | - Andrew M Prentice
- MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Tsinuel Girma
- Department of Pediatrics and Child Health, Jimma University, Jimma, Ethiopia
| | - Andrew J Prendergast
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - James Njunge
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
| | - Paul Kelly
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Tropical Gastroenterology and Nutrition Group, Department of Medicine, University of Zambia School of Medicine, Lusaka, Zambia
| | - James A Berkley
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- KEMRI/Wellcome Trust Collaborative Research Programme, Kilifi, Kenya
- Centre for Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Kirkby Daniel Tickell
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Gerard Bryan Gonzales
- Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI), Taguig, Philippines.
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, Netherlands.
- The Childhood Acute Illness & Nutrition (CHAIN) Network, Nairobi, Kenya.
- Center for Research and Development and Department of Pharmacology, College of Medicine, Davao Medical School Foundation, Davao City, Philippines.
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
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5
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Kiran A, Hanachi M, Alsayed N, Fassatoui M, Oduaran OH, Allali I, Maslamoney S, Meintjes A, Zass L, Rocha JD, Kefi R, Benkahla A, Ghedira K, Panji S, Mulder N, Fadlelmola FM, Souiai O. The African Human Microbiome Portal: a public web portal of curated metagenomic metadata. Database (Oxford) 2024; 2024:baad092. [PMID: 38204360 PMCID: PMC10782148 DOI: 10.1093/database/baad092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/03/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024]
Abstract
There is growing evidence that comprehensive and harmonized metadata are fundamental for effective public data reusability. However, it is often challenging to extract accurate metadata from public repositories. Of particular concern is the metagenomic data related to African individuals, which often omit important information about the particular features of these populations. As part of a collaborative consortium, H3ABioNet, we created a web portal, namely the African Human Microbiome Portal (AHMP), exclusively dedicated to metadata related to African human microbiome samples. Metadata were collected from various public repositories prior to cleaning, curation and harmonization according to a pre-established guideline and using ontology terms. These metadata sets can be accessed at https://microbiome.h3abionet.org/. This web portal is open access and offers an interactive visualization of 14 889 records from 70 bioprojects associated with 72 peer reviewed research articles. It also offers the ability to download harmonized metadata according to the user's applied filters. The AHMP thereby supports metadata search and retrieve operations, facilitating, thus, access to relevant studies linked to the African Human microbiome. Database URL: https://microbiome.h3abionet.org/.
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Affiliation(s)
| | - Mariem Hanachi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, Tunis 1002, Tunisia
- Faculty of Science of Bizerte, University of Carthage, Tunis, Tunisia
| | - Nihad Alsayed
- Kush Centre for Genomics and Biomedical Informatics, Biotechnology Perspectives Organization, Khartoum, Sudan
| | - Meriem Fassatoui
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, University Tunis El Manar, Tunis 1002, Tunisia
| | - Ovokeraye H Oduaran
- The Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Imane Allali
- Laboratory of Human Pathologies Biology, Department of Biology, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco
| | - Suresh Maslamoney
- Computational Biology Division, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Ayton Meintjes
- Computational Biology Division, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Jorge Da Rocha
- The Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Rym Kefi
- Laboratory of Biomedical Genomics & Oncogenetics, Institut Pasteur de Tunis, University Tunis El Manar, Tunis 1002, Tunisia
| | - Alia Benkahla
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, Tunis 1002, Tunisia
| | - Kais Ghedira
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, Tunis 1002, Tunisia
| | - Sumir Panji
- Computational Biology Division, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
| | - Faisal M Fadlelmola
- Kush Centre for Genomics and Biomedical Informatics, Biotechnology Perspectives Organization, Khartoum, Sudan
| | - Oussema Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (LR16IPT09), Institute Pasteur of Tunis, University Tunis El Manar, Tunis 1002, Tunisia
- Malawi-Liverpool-Wellcome Trust, Blantyre 3, Malawi
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool CH64 7TE, UK
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6
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Zass L, Johnston K, Benkahla A, Chaouch M, Kumuthini J, Radouani F, Mwita LA, Alsayed N, Allie T, Sathan D, Masamu U, Seuneu Tchamga MS, Tamuhla T, Samtal C, Nembaware V, Gill Z, Ahmed S, Hamdi Y, Fadlelmola F, Tiffin N, Mulder N. Developing Clinical Phenotype Data Collection Standards for Research in Africa. Glob Health Epidemiol Genom 2023; 2023:6693323. [PMID: 37766808 PMCID: PMC10522421 DOI: 10.1155/2023/6693323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/30/2023] [Accepted: 07/21/2023] [Indexed: 09/29/2023] Open
Abstract
Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.
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Affiliation(s)
- Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
| | - Katherine Johnston
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
| | - Alia Benkahla
- Laboratory of BioInformatics, BioMathematics and BioStatistics LR16IPT09, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Melek Chaouch
- Laboratory of BioInformatics, BioMathematics and BioStatistics LR16IPT09, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Judit Kumuthini
- South African National Bioinformatics Institute (SANBI), Life Sciences Building, University of Western Cape, Bellville, Cape Town, South Africa
| | - Fouzia Radouani
- Chlamydiae & Mycoplasmas Laboratory Research Department, Institut Pasteur du Maroc, 20360 Casablanca, Morocco
| | - Liberata Alexander Mwita
- Muhimbili Sickle Cell Program, Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar-es-Salaam, Tanzania
| | - Nihad Alsayed
- Kush Centre for Genomics & Biomedical Informatics, Biotechnology Perspectives Organization, Khartoum 11111, Sudan
| | - Taryn Allie
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
| | - Dassen Sathan
- Software Information Systems Department, FOICDT, University of Mauritius, Reduit, Mauritius
| | - Upendo Masamu
- Muhimbili Sickle Cell Program, Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar-es-Salaam, Tanzania
| | | | - Tsaone Tamuhla
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
| | - Chaimae Samtal
- Laboratory of Biotechnology, Environment, Agri-Food and Health, Faculty of Sciences Dhar El Mahraz-Sidi Mohammed Ben Abdellah University, Fez 30000, Morocco
| | - Victoria Nembaware
- Division of Human Genetics, Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Zoe Gill
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
- Department of Molecular Biology, Johannes Gutenberg University, Mainz, Germany
| | - Samah Ahmed
- Kush Centre for Genomics & Biomedical Informatics, Biotechnology Perspectives Organization, Khartoum 11111, Sudan
| | - Yosr Hamdi
- Laboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, University of Tunis El Manar, Tunis, Tunisia
- Laboratory of Human and Experimental Pathology, Institut Pasteur de Tunis, Tunis, Tunisia
| | - Faisal Fadlelmola
- Kush Centre for Genomics & Biomedical Informatics, Biotechnology Perspectives Organization, Khartoum 11111, Sudan
| | - Nicki Tiffin
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
- South African National Bioinformatics Institute (SANBI), Life Sciences Building, University of Western Cape, Bellville, Cape Town, South Africa
- Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Diseases and Molecular Medicine, Faculty of Cape Town, University of Cape Town, Cape Town, South Africa
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Diseases and Molecular Medicine, Faculty of Cape Town, University of Cape Town, Cape Town, South Africa
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7
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Ascandari A, Aminu S, Safdi NEH, El Allali A, Daoud R. A bibliometric analysis of the global impact of metaproteomics research. Front Microbiol 2023; 14:1217727. [PMID: 37476667 PMCID: PMC10354264 DOI: 10.3389/fmicb.2023.1217727] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 06/20/2023] [Indexed: 07/22/2023] Open
Abstract
Background Metaproteomics is a subfield in meta-omics that is used to characterize the proteome of a microbial community. Despite its importance and the plethora of publications in different research area, scientists struggle to fully comprehend its functional impact on the study of microbiomes. In this study, bibliometric analyses are used to evaluate the current state of metaproteomic research globally as well as evaluate the specific contribution of Africa to this burgeoning research area. In this study, we use bibliometric analyses to evaluate the current state of metaproteomic research globally, identify research frontiers and hotspots, and further predict future trends in metaproteomics. The specific contribution of Africa to this research area was evaluated. Methods Relevant documents from 2004 to 2022 were extracted from the Scopus database. The documents were subjected to bibliometric analyses and visualization using VOS viewer and Biblioshiny package in R. Factors such as the trends in publication, country and institutional cooperation networks, leading scientific journals, author's productivity, and keywords analyses were conducted. The African publications were ranked using Field-Weighted Citation Impact (FWCI) scores. Results A total of 1,138 documents were included and the number of publications increased drastically from 2004 to 2022 with more publications (170) reported in 2021. In terms of publishers, Frontiers in Microbiology had the highest number of total publications (62). The United States of America (USA), Germany, China, and Canada, together with other European countries were the most productive. Institution-wise, the Helmholtz Zentrum für Umweltforschung, Germany had more publications while Max Plank Institute had the highest total collaborative link strength. Jehmlich N. was the most productive author whereas Hettich RL had the highest h-index of 63. Regarding Africa, only 2.2% of the overall publications were from the continent with more publication outputs from South Africa. More than half of the publications from the continent had an FWCI score ≥ 1. Conclusion The scientific outputs of metaproteomics are rapidly evolving with developed countries leading the way. Although Africa showed prospects for future progress, this could only be accelerated by providing funding, increased collaborations, and mentorship programs.
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Affiliation(s)
- AbdulAziz Ascandari
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
| | - Suleiman Aminu
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
- Department of Biochemistry, Ahmadu Bello University, Zaria, Nigeria
| | - Nour El Houda Safdi
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
| | - Achraf El Allali
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
| | - Rachid Daoud
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
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8
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Souiai O, Sallemi A. Retrospective Phylodynamic and Phylogeographic Analysis of the Human Papillomavirus 16 E6 Gene in the Mediterranean Region. Bioinform Biol Insights 2023; 17:11779322231178598. [PMID: 37313033 PMCID: PMC10259103 DOI: 10.1177/11779322231178598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/11/2023] [Indexed: 06/15/2023] Open
Abstract
Human papillomavirus 16 (HPV16) is considered to be strongly correlated with the development of cervical cancer. Among the 8 HPV16 genes, the E6 constitutes a remarkable marker to follow the evolutionary history and spatial phylodynamics of HPV16 in the Mediterranean basin. Thus, this work aims to decipher the major evolutionary events and crosstalks in the Mediterranean basin with a focus on Tunisian strains regarding the E6 oncogene. In this study, we first extracted the available and annotated Mediterranean strains of HPV16 E6 gene sequences (n = 155) from the NCBI nucleotide database. These sequences were aligned, edited, and used for the downstream phylogenetic analyses. Finally, a Bayesian Markov Chain Monte Carlo approach was applied to reconstruct the evolutionary history of HPV16 migration. Our results showed that the HPV circulating in Tunisia derived from a Croatian ancestor around the year 1987. This starting point spreads to most European countries to reach northern Africa through the Moroccan gateway in 2004.
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Affiliation(s)
- Oussama Souiai
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Institut Pasteur de Tunis, Tunis, Tunisia
| | - Ameni Sallemi
- Laboratory of Bioinformatics, Biomathematics and Biostatistics (BIMS), Institut Pasteur de Tunis, Tunis, Tunisia
- Institut Supérieur de Biotechnologie de Sidi Thabet, Ariana, Tunisia
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9
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Kestel JH, Field DL, Bateman PW, White NE, Allentoft ME, Hopkins AJM, Gibberd M, Nevill P. Applications of environmental DNA (eDNA) in agricultural systems: Current uses, limitations and future prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157556. [PMID: 35882340 DOI: 10.1016/j.scitotenv.2022.157556] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/29/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Global food production, food supply chains and food security are increasingly stressed by human population growth and loss of arable land, becoming more vulnerable to anthropogenic and environmental perturbations. Numerous mutualistic and antagonistic species are interconnected with the cultivation of crops and livestock and these can be challenging to identify on the large scales of food production systems. Accurate identifications to capture this diversity and rapid scalable monitoring are necessary to identify emerging threats (i.e. pests and pathogens), inform on ecosystem health (i.e. soil and pollinator diversity), and provide evidence for new management practices (i.e. fertiliser and pesticide applications). Increasingly, environmental DNA (eDNA) is providing rapid and accurate classifications for specific organisms and entire species assemblages in substrates ranging from soil to air. Here, we aim to discuss how eDNA is being used for monitoring of agricultural ecosystems, what current limitations exist, and how these could be managed to expand applications into the future. In a systematic review we identify that eDNA-based monitoring in food production systems accounts for only 4 % of all eDNA studies. We found that the majority of these eDNA studies target soil and plant substrates (60 %), predominantly to identify microbes and insects (60 %) and are biased towards Europe (42 %). While eDNA-based monitoring studies are uncommon in many of the world's food production systems, the trend is most pronounced in emerging economies often where food security is most at risk. We suggest that the biggest limitations to eDNA for agriculture are false negatives resulting from DNA degradation and assay biases, as well as incomplete databases and the interpretation of abundance data. These require in silico, in vitro, and in vivo approaches to carefully design, test and apply eDNA monitoring for reliable and accurate taxonomic identifications. We explore future opportunities for eDNA research which could further develop this useful tool for food production system monitoring in both emerging and developed economies, hopefully improving monitoring, and ultimately food security.
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Affiliation(s)
- Joshua H Kestel
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia.
| | - David L Field
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Philip W Bateman
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Behavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Nicole E White
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark
| | - Anna J M Hopkins
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Mark Gibberd
- Centre for Crop Disease Management (CCDM), School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
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10
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Petersen DC, Steyl C, Scholtz D, Baker B, Abdullah I, Uren C, Möller M. African Genetic Representation in the Context of SARS-CoV-2 Infection and COVID-19 Severity. Front Genet 2022; 13:909117. [PMID: 35620464 PMCID: PMC9127354 DOI: 10.3389/fgene.2022.909117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 04/22/2022] [Indexed: 11/18/2022] Open
Affiliation(s)
- Desiree C Petersen
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Chrystal Steyl
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Denise Scholtz
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Bienyameen Baker
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Ibtisam Abdullah
- Division of Haematological Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University and NHLS Tygerberg Hospital, Cape Town, South Africa
| | - Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
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11
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Hanachi M, Maghrebi O, Bichiou H, Trabelsi F, Bouyahia NM, Zhioua F, Belghith M, Harigua-Souiai E, Baouendi M, Guizani-Tabbane L, Benkahla A, Souiai O. Longitudinal and Comparative Analysis of Gut Microbiota of Tunisian Newborns According to Delivery Mode. Front Microbiol 2022; 13:780568. [PMID: 35547149 PMCID: PMC9083410 DOI: 10.3389/fmicb.2022.780568] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 03/15/2022] [Indexed: 12/01/2022] Open
Abstract
Microbiota colonization is a dynamic process that impacts the health status during an individual's lifetime. The composition of the gut microbiota of newborns is conditioned by multiple factors, including the delivery mode (DM). Nonetheless, the DM's influence remains uncertain and is still the subject of debate. In this context, the medical indication and the emergency of a cesarean delivery might have led to confounding conclusions regarding the composition and diversity of the neonatal microbiome. Herein, we used high-resolution shotgun sequencing to decipher the composition and dynamics of the gut microbiota composition of Tunisian newborns. Stool samples were collected from 5 elective cesarean section (ECS) and 5 vaginally delivered (VD) newborns at the following time points: Day 0, Day 15, and Day 30. The ECS and VD newborns showed the same level of bacterial richness and diversity. In addition, our data pointed to a shift in microbiota community composition during the first 2 weeks, regardless of the DM. Both ECS and VD showed a profile dominated by Proteobacteria, Actinobacteria, and Firmicutes. However, ECS showed an underrepresentation of Bacteroides and an enrichment of opportunistic pathogenic species of the ESKAPE group, starting from the second week. Besides revealing the intestinal microbiota of Tunisian newborns, this study provides novel insights into the microbiota perturbations caused by ECS.
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Affiliation(s)
- Mariem Hanachi
- Laboratory of Bioinformatics, bioMathematics and Biostatistics—LR16IPT09, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
- Faculty of Science of Bizerte, University of Carthage, Tunis, Tunisia
| | - Olfa Maghrebi
- Laboratory of Transmission, Control, and Immunobiology of Infections—LR16 IPT02, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Haifa Bichiou
- Laboratory of Medical Parasitology, Biotechnology, and Biomolecules—LR16 IPT06, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Ferdaous Trabelsi
- Service de Gynécologie et Obstétrique, Hôpital Régional de Zaghouan, Zaghouan, Tunisia
| | - Najla Maha Bouyahia
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Aziza Othmana, Tunis, Tunisia
| | - Fethi Zhioua
- Service de Gynécologie Obstétrique et Médecine de la Reproduction, Hôpital Aziza Othmana, Tunis, Tunisia
| | - Meriam Belghith
- Laboratory of Transmission, Control, and Immunobiology of Infections—LR16 IPT02, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Emna Harigua-Souiai
- Laboratory of Molecular Epidemiology and Experimental Pathology—LR16IPT04, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Meriem Baouendi
- Laboratory of Bioinformatics, bioMathematics and Biostatistics—LR16IPT09, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Lamia Guizani-Tabbane
- Laboratory of Medical Parasitology, Biotechnology, and Biomolecules—LR16 IPT06, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Alia Benkahla
- Laboratory of Bioinformatics, bioMathematics and Biostatistics—LR16IPT09, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
| | - Oussema Souiai
- Laboratory of Bioinformatics, bioMathematics and Biostatistics—LR16IPT09, Institut Pasteur de Tunis, Université de Tunis El Manar, Tunis, Tunisia
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12
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African Genomic Medicine Portal: A Web Portal for Biomedical Applications. J Pers Med 2022; 12:jpm12020265. [PMID: 35207753 PMCID: PMC8879570 DOI: 10.3390/jpm12020265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/22/2022] [Accepted: 01/26/2022] [Indexed: 11/17/2022] Open
Abstract
Genomics data are currently being produced at unprecedented rates, resulting in increased knowledge discovery and submission to public data repositories. Despite these advances, genomic information on African-ancestry populations remains significantly low compared with European- and Asian-ancestry populations. This information is typically segmented across several different biomedical data repositories, which often lack sufficient fine-grained structure and annotation to account for the diversity of African populations, leading to many challenges related to the retrieval, representation and findability of such information. To overcome these challenges, we developed the African Genomic Medicine Portal (AGMP), a database that contains metadata on genomic medicine studies conducted on African-ancestry populations. The metadata is curated from two public databases related to genomic medicine, PharmGKB and DisGeNET. The metadata retrieved from these source databases were limited to genomic variants that were associated with disease aetiology or treatment in the context of African-ancestry populations. Over 2000 variants relevant to populations of African ancestry were retrieved. Subsequently, domain experts curated and annotated additional information associated with the studies that reported the variants, including geographical origin, ethnolinguistic group, level of association significance and other relevant study information, such as study design and sample size, where available. The AGMP functions as a dedicated resource through which to access African-specific information on genomics as applied to health research, through querying variants, genes, diseases and drugs. The portal and its corresponding technical documentation, implementation code and content are publicly available.
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13
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Tebele SM, Marks RA, Farrant JM. Two Decades of Desiccation Biology: A Systematic Review of the Best Studied Angiosperm Resurrection Plants. PLANTS (BASEL, SWITZERLAND) 2021; 10:plants10122784. [PMID: 34961255 PMCID: PMC8706221 DOI: 10.3390/plants10122784] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/06/2021] [Accepted: 12/06/2021] [Indexed: 05/25/2023]
Abstract
Resurrection plants have an extraordinary ability to survive extreme water loss but still revive full metabolic activity when rehydrated. These plants are useful models to understand the complex biology of vegetative desiccation tolerance. Despite extensive studies of resurrection plants, many details underlying the mechanisms of desiccation tolerance remain unexplored. To summarize the progress in resurrection plant research and identify unexplored questions, we conducted a systematic review of 15 model angiosperm resurrection plants. This systematic review provides an overview of publication trends on resurrection plants, the geographical distribution of species and studies, and the methodology used. Using the Preferred Reporting Items for Systematic reviews and Meta-Analyses protocol we surveyed all publications on resurrection plants from 2000 and 2020. This yielded 185 empirical articles that matched our selection criteria. The most investigated plants were Craterostigma plantagineum (17.5%), Haberlea rhodopensis (13.7%), Xerophyta viscosa (reclassified as X. schlechteri) (11.9%), Myrothamnus flabellifolia (8.5%), and Boea hygrometrica (8.1%), with all other species accounting for less than 8% of publications. The majority of studies have been conducted in South Africa, Bulgaria, Germany, and China, but there are contributions from across the globe. Most studies were led by researchers working within the native range of the focal species, but some international and collaborative studies were also identified. The number of annual publications fluctuated, with a large but temporary increase in 2008. Many studies have employed physiological and transcriptomic methodologies to investigate the leaves of resurrection plants, but there was a paucity of studies on roots and only one metagenomic study was recovered. Based on these findings we suggest that future research focuses on resurrection plant roots and microbiome interactions to explore microbial communities associated with these plants, and their role in vegetative desiccation tolerance.
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Affiliation(s)
- Shandry M. Tebele
- Department of Molecular and Cell Biology, University of Cape Town, Rondebosch, Cape Town 7701, South Africa; (S.M.T.); (R.A.M.)
| | - Rose A. Marks
- Department of Molecular and Cell Biology, University of Cape Town, Rondebosch, Cape Town 7701, South Africa; (S.M.T.); (R.A.M.)
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
- Plant Resiliency Institute, Michigan State University, East Lansing, MI 48824, USA
| | - Jill M. Farrant
- Department of Molecular and Cell Biology, University of Cape Town, Rondebosch, Cape Town 7701, South Africa; (S.M.T.); (R.A.M.)
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Aron S, Jongeneel CV, Chauke PA, Chaouch M, Kumuthini J, Zass L, Radouani F, Kassim SK, Fadlelmola FM, Mulder N. Ten simple rules for developing bioinformatics capacity at an academic institution. PLoS Comput Biol 2021; 17:e1009592. [PMID: 34882684 PMCID: PMC8659687 DOI: 10.1371/journal.pcbi.1009592] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Shaun Aron
- Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
- * E-mail:
| | | | - Paballo Abel Chauke
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Melek Chaouch
- Laboratory of bioinformatics, biomathematics and biostatistics, Institut Pasteur de Tunis, Université Tunis El Manar, Belvédère, Tunisia
| | - Judit Kumuthini
- South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa
| | - Lyndon Zass
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Fouzia Radouani
- Chlamydiae & Mycoplasmas Laboratory Research Department, Institut Pasteur du Maroc, Casablanca, Morocco
| | - Samar Kamal Kassim
- Medical Biochemistry & Molecular Biology Department, and MASRI Research Institute, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Faisal M. Fadlelmola
- Centre for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan
| | - Nicola Mulder
- Computational Biology Division, Department of Integrative Biomedical Sciences, Institute of Infectious Disease and Molecular Medicine, CIDRI Africa Wellcome Trust Centre, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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