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Hassanyar AK, Nie H, Li Z, Lin Y, Huang J, Woldegiorgis ST, Hussain M, Feng W, Zhang Z, Yu K, Su S. Discovery of SNP Molecular Markers and Candidate Genes Associated with Sacbrood Virus Resistance in Apis cerana cerana Larvae by Whole-Genome Resequencing. Int J Mol Sci 2023; 24:ijms24076238. [PMID: 37047210 PMCID: PMC10094193 DOI: 10.3390/ijms24076238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 03/29/2023] Open
Abstract
Sacbrood virus (SBV) is a significant problem that impedes brood development in both eastern and western honeybees. Whole-genome sequencing has become an important tool in researching population genetic variations. Numerous studies have been conducted using multiple techniques to suppress SBV infection in honeybees, but the genetic markers and molecular mechanisms underlying SBV resistance have not been identified. To explore single nucleotide polymorphisms (SNPs), insertions, deletions (Indels), and genes at the DNA level related to SBV resistance, we conducted whole-genome resequencing on 90 Apis cerana cerana larvae raised in vitro and challenged with SBV. After filtering, a total of 337.47 gigabytes of clean data and 31,000,613 high-quality SNP loci were detected in three populations. We used ten databases to annotate 9359 predicted genes. By combining population differentiation index (FST) and nucleotide polymorphisms (π), we examined genome variants between resistant (R) and susceptible (S) larvae, focusing on site integrity (INT < 0.5) and minor allele frequency (MAF < 0.05). A selective sweep analysis with the top 1% and top 5% was used to identify significant regions. Two SNPs on the 15th chromosome with GenBank KZ288474.1_322717 (Guanine > Cytosine) and KZ288479.1_95621 (Cytosine > Thiamine) were found to be significantly associated with SBV resistance based on their associated allele frequencies after SNP validation. Each SNP was authenticated in 926 and 1022 samples, respectively. The enrichment and functional annotation pathways from significantly predicted genes to SBV resistance revealed immune response processes, signal transduction mechanisms, endocytosis, peroxisomes, phagosomes, and regulation of autophagy, which may be significant in SBV resistance. This study presents novel and useful SNP molecular markers that can be utilized as assisted molecular markers to select honeybees resistant to SBV for breeding and that can be used as a biocontrol technique to protect honeybees from SBV.
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Ma C, Ahmat B, Li J. Effect of queen cell numbers on royal jelly production and quality. Curr Res Food Sci 2022; 5:1818-1825. [PMID: 36254242 PMCID: PMC9568691 DOI: 10.1016/j.crfs.2022.10.014] [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: 07/13/2022] [Revised: 09/15/2022] [Accepted: 10/10/2022] [Indexed: 10/31/2022] Open
Abstract
Royal jelly (RJ) is a popular functional food with a wealth of health-promoting effects. Over 90% of the global RJ is produced in China mainly by a high RJ-producing honeybee (RJB) strain that can accept and feed a great number of queen larvae for RJ production. To elucidate RJ changes due to queen cell numbers (QCNs), we compared the yield, larval acceptance rate, metabolic and proteomic profiles, and antioxidant activities of RJ from 1 to 5 strips of queen cells (64 per strip) in RJB colonies. As QCNs increased, the larval acceptance rate was not found to vary (p = 0.269) whereas the RJ weight per cell began to significantly decline in the 5-strip colonies (p < 0.05). Increased QCNs had a profound impact on RJ metabolic profiles and mainly reduced fatty acid levels. Remarkably, the 10-hydroxy-2-decenoic acid (10-HDA) content, a most important indicator of RJ quality, declined gradually from 2.01% in the 1-strip colonies to 1.52% in the 5-strip colonies (p < 0.001). RJ proteomic profiles were minimally altered and antioxidant activities were not significantly changed by QCNs. Collectively, the metabolomics and proteomics data and the antioxidant activity test represent a global evaluation of the quality of RJ produced with different QCNs. Our findings gain new insights into higher-quality RJ production using the high-yielding RJBs.
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Affiliation(s)
| | | | - Jianke Li
- Corresponding author. No. 2 Yuanmingyuan West Road, Haidian District, Beijing, China.
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Ma C, Hu R, Costa C, Li J. Genetic Drift and Purifying Selection Shaped Mitochondrial Genome Variation in the High Royal Jelly-Producing Honeybee Strain (Apis mellifera ligustica). Front Genet 2022; 13:835967. [PMID: 35222549 PMCID: PMC8864236 DOI: 10.3389/fgene.2022.835967] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/18/2022] [Indexed: 12/16/2022] Open
Abstract
Mitochondrial genomes (mitogenomes) are involved in cellular energy metabolism and have been shown to undergo adaptive evolution in organisms with increased energy-consuming activities. The genetically selected high royal jelly-producing bees (RJBs, Apis mellifera ligustica) in China can produce 10 times more royal jelly, a highly nutritional and functional food, relative to unselected Italian bees (ITBs). To test for potential adaptive evolution of RJB mitochondrial genes, we sequenced mitogenomes from 100 RJBs and 30 ITBs. Haplotype network and phylogenetic analysis indicate that RJBs and ITBs are not reciprocally monophyletic but mainly divided into the RJB- and ITB-dominant sublineages. The RJB-dominant sublineage proportion is 6-fold higher in RJBs (84/100) than in ITBs (4/30), which is mainly attributable to genetic drift rather than positive selection. The RJB-dominant sublineage exhibits a low genetic diversity due to purifying selection. Moreover, mitogenome abundance is not significantly different between RJBs and ITBs, thereby rejecting the association between mitogenome copy number and royal jelly-producing performance. Our findings demonstrate low genetic diversity levels of RJB mitogenomes and reveal genetic drift and purifying selection as potential forces driving RJB mitogenome evolution.
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Affiliation(s)
- Chuan Ma
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ruoyang Hu
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Cecilia Costa
- CREA Research Centre for Agriculture and Environment, Bologna, Italy
| | - Jianke Li
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Jianke Li,
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Cao L, Zhao X, Chen Y, Sun C. Chromosome-scale genome assembly of the high royal jelly-producing honeybees. Sci Data 2021; 8:302. [PMID: 34824304 PMCID: PMC8617152 DOI: 10.1038/s41597-021-01091-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 11/03/2021] [Indexed: 11/09/2022] Open
Abstract
A high royal jelly-producing strain of honeybees (HRJHB) has been obtained by successive artificial selection of Italian honeybees (Apis mellifera ligustica) in China. The HRJHB can produce amounts of royal jelly that are dozens of times greater than their original counterparts, which has promoted China to be the largest producer of royal jelly in the world. In this study, we generated a chromosome-scale of the genome sequence for the HRJHB using PacBio long reads and Hi-C technique. The genome consists of 16 pseudo-chromosomes that contain 222 Mb of sequence, with a scaffold N50 of 13.6 Mb. BUSCO analysis yielded a completeness score of 99.3%. The genome has 12,288 predicted protein-coding genes and a rate of 8.11% of repetitive sequences. One chromosome inversion was identified between the HRJHB and the closely related Italian honeybees through whole-genome alignment analysis. The HRJHB's genome sequence will be an important resource for understanding the genetic basis of high levels of royal jelly production, which may also shed light on the evolution of domesticated insects.
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Affiliation(s)
- Lianfei Cao
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China.
| | - Xiaomeng Zhao
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, 100093, China
| | - Yanping Chen
- USDA-ARS Bee Research Laboratory, USDA-ARS, Bldg. 306, BARC-East, Beltsville, MD, 20705, USA
| | - Cheng Sun
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, 100093, China.
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Guichard M, Dainat B, Eynard S, Vignal A, Servin B, Neuditschko M. Identification of quantitative trait loci associated with calmness and gentleness in honey bees using whole-genome sequences. Anim Genet 2021; 52:472-481. [PMID: 33970494 PMCID: PMC8360191 DOI: 10.1111/age.13070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2021] [Indexed: 01/05/2023]
Abstract
The identification of quantitative trait loci (QTL) through genome-wide association studies (GWAS) is a powerful method for unravelling the genetic background of selected traits and improving early-stage predictions. In honey bees (Apis mellifera), past genetic analyses have particularly focused on individual queens and workers. In this study, we used pooled whole-genome sequences to ascertain the genetic variation of the entire colony. In total, we sampled 216 Apis mellifera mellifera and 28 Apis mellifera carnica colonies. Different experts subjectively assessed the gentleness and calmness of the colonies using a standardised protocol. Conducting a GWAS for calmness on 211 purebred A. m. mellifera colonies, we identified three QTL, on chromosomes 8, 6, and 12. The two first QTL correspond to LOC409692 gene, coding for a disintegrin and metalloproteinase domain-containing protein 10, and to Abscam gene, coding for a Dscam family member Abscam protein, respectively. The last gene has been reported to be involved in the domestication of A. mellifera. The third QTL is located 13 kb upstream of LOC102655631, coding for a trehalose transporter. For gentleness, two QTL were identified on chromosomes 4 and 3. They are located within gene LOC413669, coding for a lap4 protein, and gene LOC413416, coding for a bicaudal C homolog 1-B protein, respectively. The identified positional candidate genes of both traits mainly affect the olfaction and nervous system of honey bees. Further research is needed to confirm the results and to better understand the genetic and phenotypic basis of calmness and gentleness.
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Affiliation(s)
- M Guichard
- Agroscope, Swiss Bee Research Centre, Schwarzenburgstrasse 161, Bern, 3003, Switzerland.,Agroscope, Animal GenoPhenomics, Rte de la Tioleyre 4, Posieux, 1725, Switzerland
| | - B Dainat
- Agroscope, Swiss Bee Research Centre, Schwarzenburgstrasse 161, Bern, 3003, Switzerland
| | - S Eynard
- GenPhySE, INRA, INPT, INPENVT, Université de Toulouse, Castanet-Tolosan, 31320, France.,UMT PrADE, Protection des Abeilles Dans l'Environnement, Avignon, 84914, France
| | - A Vignal
- GenPhySE, INRA, INPT, INPENVT, Université de Toulouse, Castanet-Tolosan, 31320, France.,UMT PrADE, Protection des Abeilles Dans l'Environnement, Avignon, 84914, France
| | - B Servin
- GenPhySE, INRA, INPT, INPENVT, Université de Toulouse, Castanet-Tolosan, 31320, France.,UMT PrADE, Protection des Abeilles Dans l'Environnement, Avignon, 84914, France
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- Domaine de Vilvert, Bat 224, CS80009, Jouy-en-Josas CEDEX, 78353, France
| | - M Neuditschko
- Agroscope, Animal GenoPhenomics, Rte de la Tioleyre 4, Posieux, 1725, Switzerland
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