Evidence map›Paper›PMID 40185930›Full record

ArticleScientific reports2025

Foraging resource partitioning between Indian native Apis florea and Apis cerana: unveiling entomological signatures in honey through honey DNA metabarcoding.

Rajat Patel, Shaikhul Islam, Margi Patel, Jigneshkumar Trivedi, Madhvi Joshi, Chaitanya Joshi, Virendra Kumar Yadav, Dipak Kumar Sahoo, Ashish Patel

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Integrated Ultrastructural and Transcriptomic Analysis of the Proboscis inAnimals : an open access journal from MDPI · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rajat PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, 384265, India.
Shaikhul IslamPlant Pathology Division, Bangladesh Wheat and Maize Research Institute, Nashipur, Dinajpur, 5200, Bangladesh.
Margi PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, 384265, India.
Jigneshkumar TrivediDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, 384265, India.
Madhvi JoshiGujarat Biotechnology Research Centre (GBRC), M. S. Building, Gandhinagar, Gujarat, 382011, India. jd1@gbrc.res.in.
Chaitanya JoshiGujarat Biotechnology Research Centre (GBRC), M. S. Building, Gandhinagar, Gujarat, 382011, India.
Virendra Kumar YadavMarwadi University Research Center, Marwadi University, Rajkot, Gujarat, India.
Dipak Kumar SahooDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA, USA.
Ashish PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan, Gujarat, 384265, India. uni.ashish@gmail.com.

Funding

Gujarat State Biotechnology Mission (GSBTM) GSBTM/MD/PROJECTS/SSA/5062/2016-17, Project ID: 1351
6 · The paper itself

Abstract

Honey DNA metabarcoding provides precise and comprehensive data on the origins of honey and the plants that honey bees select for feeding. Honey produced by both Apis cerana and Apis florea, along with the determination of honey bee floral preferences, has the potential to assist researchers in strategically selecting appropriate plant species that can effectively enhance the growth and prosperity of honey bee colonies. Honey samples collected from 40 places in North Gujarat, India, was produced by two species of honey bees, A. cerana and A. florea. Physicochemical analysis of honey samples was performed, including characterization of pH, ash content, electrical conductivity, brix content, free acidity, protein, amino acids, alkaloids, carbohydrates, tannins, flavonoids, phenolic components, and sterol content. Using DNA metabarcoding techniques, an investigation was conducted to discern the nectar preferences of A. cerana and A. florea. The results of the DNA metabarcoding study demonstrated a consistent enrichment trend for 64 plant species across both honey bee species. The plant species Medicago hybrida had the highest abundance in honey produced by A. florea, but Picrasma quassioides was more abundant in honey produced by A. cerana. In addition, the sugar content of honey samples collected from both honey bee species was analyzed by high-performance liquid chromatography (HPTLC). Our study's honey metabarcoding and physicochemical analysis effectively categorized and distinguished between the two honey samples and the activity of Indian native A. cerana and A. florea. This study emphasizes the potential of metabarcoding to identify the specific plant sources of honey and improve our knowledge of honey bee foraging habits. This information is vital for promoting the health and production of honey bee colonies.

Indexed as

DNA Barcoding, TaxonomicFeeding BehaviorHoneyAnimalsBeesIndiaPlant NectarPlant NectarBehaviourFloral preferencesHoney beeMetabarcodingPhysicochemical

Identifiers

PMID40185930
PMCPMC11971324

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.