10.5061/DRYAD.XSJ3TX9GC
El Hamss, Hajar
0000-0001-9087-3531
University of Greenwich
Institute of Natural Resources
Gowda, Maruthi
0000-0002-8060-866X
University of Greenwich
Delatte, Helene
Centre de Coopération Internationale en Recherche Agronomique pour le
Développement
Ghosh, Saptarshi
0000-0001-6156-9346
University of Georgia
Maruthi, M. N.
Institute of Natural Resources
Delatte, Hélène
Peuplement Végétaux et Bio-agresseurs en Milieu Tropical
Colvin, John
Institute of Natural Resources
Microbiome diversity and reproductive incompatibility induced by the
prevalent endosymbiont Arsenophonus in two species of African cassava
Bemisia tabaci whiteflies
Dryad
dataset
2021
FOS: Agricultural sciences
Bill & Melinda Gates Foundation
https://ror.org/0456r8d26
OPP1058938
University of Greenwich
2021-12-03T00:00:00Z
2021-12-03T00:00:00Z
en
https://doi.org/10.1002/ece3.8400
37150 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
This dataset contains data from two-part experiments described in the
paper: “El Hamss, H., Ghosh, S., M. N., M., Delatte, H., & Colvin,
J. (2021). Microbiome diversity and reproductive incompatibility induced
by the prevalent endosymbiont Arsenophonus in two species of African
cassava Bemisia tabaci whiteflies. Ecology and Evolution, 00, 1–10.
https://doi.org/10.1002/ece3.840”. The experiment investigates the effects
of Arsenophonus on whitefly reproduction and microbiome diversity. In the
first experiment (“crossing experiment”), the effect of Arsenophonus is
studied on number of eggs, nymphs, males, and females on different
whitefly species at intraspecies level (SSA1-SG3A+ with SSA1-SG3A-) and at
interspecies level (SSA2A+ with SSA1-SG3A- and SSA1-SG3A+). Arsenophonus
infection A+ means the presence of Arsenophonus in related whitefly
colony, A- means the absence of Arsenophonus. In the second experiment
(“microbiome diversity”), whitefly colonies of crossed parents and
generated progenies were sequenced to check Arsenophonus threshold (number
of reads) and the presence of other bacteria in those crossed whiteflies.
The main results of this work are: (i) Arsenophonus did not induce
reproductive incompatibility within SSA1-SG3 but reduced the number of
eggs, nymphs and female ratios, (ii) complete RI was observed between
SSA1-SG3 and SSA2 indicating the lack of gene flow between the two
whitefly species, (iii) many new ‘other bacteria’ in SSA B. tabaci have
been identified, whose role remains to be investigated.
The DNA of the microbiome dataset was extracted from single whitefly after
the crossing experiment in insectary in NRI, University of Greenwich, UK.
The DNA has been then sequenced by Illumina Hiseq, then the final filtered
reads were clustered and assigned. The statistical analyses were
subsequently carried out using the attached excel sheet of a series of
bacteria. One-way ANOVA test was carried out to investigate bacterial
diversity parameters such as Simpson index and observed OTUs. Bray–Curtis
dissimilarities between all pairwise combinations of whitefly samples were
ordinated following a non-metric multidimensional scaling (nMDS). The
methods are well described and accepted for publication in Ecology and
Evolution journal.
The readme file contains an explanation of each of the variables in the
dataset, the way it was collected from the primary data. Information on
how the crossing experiments and microbiome analyses were done can be
found in the associated manuscript referenced above.