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Simulated Climate Warming Influenced Colony Microclimatic Conditions and Gut Bacterial Abundance of Honeybee Subspecies Apis mellifera ligustica and A. mellifera sinisxinyuan

Krouholé A. S. Coulibaly

Krouholé A. S. Coulibaly

  • Climate Change Biology Research Group, State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural SciencesChina
  • Institute of Apicultural Research, Chinese Academy of Agricultural SciencesChina
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Coulibaly, Krouholé A. S.
, 
Muhammad Z. Majeed

Muhammad Z. Majeed

  • Climate Change Biology Research Group, State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural SciencesChina
  • Department of Entomology, University of SargodhaPakistan
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Majeed, Muhammad Z.
, 
Samy Sayed

Samy Sayed

Department of Science and Technology, University College-Ranyah, Taif UniversitySaudi Arabia
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Sayed, Samy
 und 
Kolo Yeo

Kolo Yeo

Station d’Écologie de Lamto, Université Nangui AbrogouaCote D’Ivoire (Ivory Coast)
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Yeo, Kolo
  
22. Juni 2022
Simulated Climate Warming Influenced Colony Microclimatic Conditions and Gut Bacterial Abundance of Honeybee Subspecies Apis mellifera ligustica and A. mellifera sinisxinyuan's Cover Image
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Artikel-Kategorie: Original Article
Online veröffentlicht: 22. Juni 2022
Seitenbereich: 15 - 27
Eingereicht: 03. Mai 2021
Akzeptiert: 08. Feb. 2022
DOI: https://doi.org/10.2478/jas-2022-0002
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© 2022 Krouholé A. S. Coulibaly et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Mean daily temperature (°C) recorded from April to August, 2017 under two temperature conditions. Blue and red lines indicate temperature fluctuations for the control and heating treatments, respectively.
Mean daily temperature (°C) recorded from April to August, 2017 under two temperature conditions. Blue and red lines indicate temperature fluctuations for the control and heating treatments, respectively.

Fig. 2

Brood nest temperature (mean±SD; n=8) of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during the control and heating treatments from April to August 2017. Cumulative data of eight bee hives is presented for each treatment. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).
Brood nest temperature (mean±SD; n=8) of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during the control and heating treatments from April to August 2017. Cumulative data of eight bee hives is presented for each treatment. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).

Fig. 3

Brood nest relative humidity (mean±SD; n=8) of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during control and heating treatments from April to August 2017. Cumulative data of eight bee hives is presented for each treatment. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).
Brood nest relative humidity (mean±SD; n=8) of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during control and heating treatments from April to August 2017. Cumulative data of eight bee hives is presented for each treatment. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).

Fig. 4

Bacterial 16S ribosomal RNA gene abundance (mean±SD; n=40) in larval guts of A. mellifera lingustica and A. mellifera sinisxinyuan during control and heating treatments. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).
Bacterial 16S ribosomal RNA gene abundance (mean±SD; n=40) in larval guts of A. mellifera lingustica and A. mellifera sinisxinyuan during control and heating treatments. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).

Fig. 5

Bacterial 16S ribosomal RNA gene abundance (mean±SD; n=40) in guts of newly emerged adults of A. mellifera lingustica and A. mellifera sinisxinyuan under control and heating treatments. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).
Bacterial 16S ribosomal RNA gene abundance (mean±SD; n=40) in guts of newly emerged adults of A. mellifera lingustica and A. mellifera sinisxinyuan under control and heating treatments. * indicates significant difference between treatments for each subspecies (two-sample Student’s t-test; p≤0.05).

Fig. S1

Daily brood nest temperature of A. mellifera ligustica and A. mellifera sinisxinyuan during ambient (control treatment) and warmer ambient (heating treatment) climatic conditions from April to August, 2017 (cumulative data for 8 bee hives for each treatment). The shaded area indicates the standard deviation above and below the mean represented by the line of the same colour.
Daily brood nest temperature of A. mellifera ligustica and A. mellifera sinisxinyuan during ambient (control treatment) and warmer ambient (heating treatment) climatic conditions from April to August, 2017 (cumulative data for 8 bee hives for each treatment). The shaded area indicates the standard deviation above and below the mean represented by the line of the same colour.

Fig. S2

Daily brood nest relative humidity of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during ambient (control treatment) and warmer ambient (heating treatment) climatic conditions from April to August, 2017 (cumulative data for 8 bee hives for each treatment). The shaded area indicates the standard deviation above and below the mean represented by the line of the same colour.
Daily brood nest relative humidity of A. mellifera ligustica and A. mellifera sinisxinyuan recorded during ambient (control treatment) and warmer ambient (heating treatment) climatic conditions from April to August, 2017 (cumulative data for 8 bee hives for each treatment). The shaded area indicates the standard deviation above and below the mean represented by the line of the same colour.
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