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Patterns of helminth infection in Kenyan elephant populations

BACKGROUND: The dynamics of helminth infection in African elephant populations are poorly known. We examined the effects of age, sex, social structure and the normalized difference vegetation index (NDVI) as primary drivers of infection patterns within and between elephant populations. METHODS: Copr...

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Autores principales: King’ori, Edward, Obanda, Vincent, Chiyo, Patrick I., Soriguer, Ramon C., Morrondo, Patrocinio, Angelone, Samer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081694/
https://www.ncbi.nlm.nih.gov/pubmed/32188499
http://dx.doi.org/10.1186/s13071-020-04017-1
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author King’ori, Edward
Obanda, Vincent
Chiyo, Patrick I.
Soriguer, Ramon C.
Morrondo, Patrocinio
Angelone, Samer
author_facet King’ori, Edward
Obanda, Vincent
Chiyo, Patrick I.
Soriguer, Ramon C.
Morrondo, Patrocinio
Angelone, Samer
author_sort King’ori, Edward
collection PubMed
description BACKGROUND: The dynamics of helminth infection in African elephant populations are poorly known. We examined the effects of age, sex, social structure and the normalized difference vegetation index (NDVI) as primary drivers of infection patterns within and between elephant populations. METHODS: Coprological methods were used to identify helminths and determine infection patterns in distinct elephant populations in Maasai Mara National Reserve, Tsavo East National Park, Amboseli National Park and Laikipia-Samburu Ecosystem. Gaussian finite mixture cluster analyses of egg dimensions were used to classify helminth eggs according to genera. Generalized linear models (GLM) and Chi-square analyses were used to test for variation in helminth infection patterns and to identify drivers in elephant populations. RESULTS: Helminth prevalence varied significantly between the studied populations. Nematode prevalence (96.3%) was over twice as high as that of trematodes (39.1%) in elephants. Trematode prevalence but not nematode prevalence varied between populations. Although we found no associations between helminth infection and elephant social groups (male vs family groups), the median helminth egg output (eggs per gram, epg) did vary between social groups: family groups had significantly higher median epg than solitary males or males in bachelor groups. Young males in mixed sex family groups had lower epg than females when controlling for population and age; these differences, however, were not statistically significant. The average NDVI over a three-month period varied between study locations. Cluster analyses based on egg measurements revealed the presence of Protofasciola sp., Brumptia sp., Murshidia sp., Quilonia sp. and Mammomonogamus sp. GLM analyses showed that the mean epg was positively influenced by a three-month cumulative mean NDVI and by social group; female social groups had higher epg than male groups. GLM analyses also revealed that epg varied between elephant populations: Samburu-Laikipia elephants had a higher and Tsavo elephants a lower epg than Amboseli elephants. CONCLUSIONS: Elephants had infection patterns characterized by within- and between-population variation in prevalence and worm burden. Sociality and NDVI were the major drivers of epg but not of helminth prevalence. Gastrointestinal parasites can have a negative impact on the health of wild elephants, especially during resource scarcity. Thus, our results will be important when deciding intervention strategies. [Image: see text]
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spelling pubmed-70816942020-03-23 Patterns of helminth infection in Kenyan elephant populations King’ori, Edward Obanda, Vincent Chiyo, Patrick I. Soriguer, Ramon C. Morrondo, Patrocinio Angelone, Samer Parasit Vectors Research BACKGROUND: The dynamics of helminth infection in African elephant populations are poorly known. We examined the effects of age, sex, social structure and the normalized difference vegetation index (NDVI) as primary drivers of infection patterns within and between elephant populations. METHODS: Coprological methods were used to identify helminths and determine infection patterns in distinct elephant populations in Maasai Mara National Reserve, Tsavo East National Park, Amboseli National Park and Laikipia-Samburu Ecosystem. Gaussian finite mixture cluster analyses of egg dimensions were used to classify helminth eggs according to genera. Generalized linear models (GLM) and Chi-square analyses were used to test for variation in helminth infection patterns and to identify drivers in elephant populations. RESULTS: Helminth prevalence varied significantly between the studied populations. Nematode prevalence (96.3%) was over twice as high as that of trematodes (39.1%) in elephants. Trematode prevalence but not nematode prevalence varied between populations. Although we found no associations between helminth infection and elephant social groups (male vs family groups), the median helminth egg output (eggs per gram, epg) did vary between social groups: family groups had significantly higher median epg than solitary males or males in bachelor groups. Young males in mixed sex family groups had lower epg than females when controlling for population and age; these differences, however, were not statistically significant. The average NDVI over a three-month period varied between study locations. Cluster analyses based on egg measurements revealed the presence of Protofasciola sp., Brumptia sp., Murshidia sp., Quilonia sp. and Mammomonogamus sp. GLM analyses showed that the mean epg was positively influenced by a three-month cumulative mean NDVI and by social group; female social groups had higher epg than male groups. GLM analyses also revealed that epg varied between elephant populations: Samburu-Laikipia elephants had a higher and Tsavo elephants a lower epg than Amboseli elephants. CONCLUSIONS: Elephants had infection patterns characterized by within- and between-population variation in prevalence and worm burden. Sociality and NDVI were the major drivers of epg but not of helminth prevalence. Gastrointestinal parasites can have a negative impact on the health of wild elephants, especially during resource scarcity. Thus, our results will be important when deciding intervention strategies. [Image: see text] BioMed Central 2020-03-18 /pmc/articles/PMC7081694/ /pubmed/32188499 http://dx.doi.org/10.1186/s13071-020-04017-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
King’ori, Edward
Obanda, Vincent
Chiyo, Patrick I.
Soriguer, Ramon C.
Morrondo, Patrocinio
Angelone, Samer
Patterns of helminth infection in Kenyan elephant populations
title Patterns of helminth infection in Kenyan elephant populations
title_full Patterns of helminth infection in Kenyan elephant populations
title_fullStr Patterns of helminth infection in Kenyan elephant populations
title_full_unstemmed Patterns of helminth infection in Kenyan elephant populations
title_short Patterns of helminth infection in Kenyan elephant populations
title_sort patterns of helminth infection in kenyan elephant populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7081694/
https://www.ncbi.nlm.nih.gov/pubmed/32188499
http://dx.doi.org/10.1186/s13071-020-04017-1
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