Tag-derived Simple Sequence Repeat Markers of Olive

Tag-derived Simple Sequence Repeat Markers of Olive Identification and functional annotation of expressed sequence Tag-Derived Simple Sequence Repeat Markers of olive (Olea europaea) Olive tree (Olea europaea L.) is one of the most important oil producing crops in world, the genetic identification of several genotypes by using molecular markers is the first step in breeding programs. A large number of Olea europaea expressed sequence tags (ESTs) 11,215 were done from the NCBI database and used to search for microsatellites. Our result Explained that 8295 SSRs were present and its percentage of occurrence which about 77.6%,11.84%,8.62%,0.84%,0.77% and 0.29% for Mononucleotide, trinucleotide, dinucleotide, hexanucleotide, pentanucleotide and tetranucleotide respectively. The appearance of the AAG/CTT repeat was highly percentage in trinucleotide and percentage of AG/CT was highly in dinucleotide repeats. By using flanking region of SSRs repeat we designed 1,801 EST-SSR primer pairs. The result obtained from Functional annotation of olive EST sequences containing SSRs indicated that 81% of these sequence having homology with known proteins, while 1.55% was homologou s to hypothetical or unknown proteins and the 17.37% sequences did not possess homology with any known proteins. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation revealed that EST containing SSRs were implicated in diverse biological process include cellular and metabolic process, while in molecular function includes catalytic activity, binding and enzyme regulator activity. A total of 93 different pathways were significant matches in the KEGG database, which divided onto Carbohydrate metabolism such as glycolysis/gluconeogenesis pathway and the Energy metabolism such as Carbon fixation in photosynthetic organism pathway, also this included 11 different pathways from Lipid metabolism such as Fatty acid biosynthesis pathway. We isolate a genomic DNA from 9 olive cultivars and tested with 25 random selected primer pairs for amplification and polymorphism detection. All tested primers, exhibited successfully amplified and detected polymorphism. Olive tree (Olea europaea L.) is one of the most superannuated and important long lived fruit species in Mediterranean [1], its diploid species (2n = 2x = 46), and the genome size range between 2.90 pg/2C and 3.07 pg/2C, with 1C = 1,400 1,500 Mbp [2]. Olea europaea is one of the first domesticated crops from Oleaceae family, and it cultivated for table olives and edible oil [3], a long history of olive cultivation in the Middle East was descriptions by archaeology and botanists [4]. The olive cultivars are high of number that more than 1200 cultivars [5], also the accessions are available in a large numbers in olive producing countries, that occurrence a problems for germplasm preservation and it management [6]. The genetic identification and characterizing of several genotypes by using molecular markers is the first step in breeding programs [7], and by increased rate of mutation in microsatellites repeats that show a highly level of length polymorphism [8]. With the improvement and increasing of DNA sequencing technology, sequencing of expressed gene are used to obtain a large collection of EST which are isolated from a specific tissue and stage on organism [3]. Recent EST-SSR studies have reported that the EST is uses a source of SSRs and that reveal highly polymorphism [9]. EST sequences Available in public database and by using bioinformatics tools can determine and development of SSR markers in that EST sequences [10]. In olive that can be allow to development of new functional marker and use it in molecular breeding [11]. Also it can use as useful tools for gene and marker discovery, gene mapping and functional comparative studies. EST-SSRs recently reported in several plant species, such as Musa [12], Finger Millet [13], Jatropha Curcas [14], Pineapple [15], Celery [16], Lettuce [17], Barley [18], Radish [19], Citrus [20], Watermelon [21], Sugarcane [22], grapes [23], Cereal species [24] and bread wheat [25]. A large number of EST sequences in olive are available on database it can be a useful resource to develop gene based markers. The aim of this study was to use bioinformatics tools to develop and identify a new genic marker EST-SSR in Olive, to compare the frequency and distribution of different repeat types in genic sequences. Also determine the localization of these primers in different pathways in plant, to use it as tools to differences between the olive cultivars. The Source of Sequence, screening and primer designing of microsatellites. EST database used a source of olive EST sequences from NCBI (http://www.ncbi.nlm.nih.gov). A total of 11,215 ESTs sequences of Olea europaea are available and used in this study. Identification of SSRs by using the perl script MISA (MIcroSAtellite identification tool; http://pgrc.ipk-gatersleben.de/misa/).The criteria used to determine SSR repeat were: mononucleotide ≠¥ 10, dinucleotide ≠¥ 6, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide ≠¥ 5, and the maximal number of bases interrupting two SSRs in a compound microsatellite are 100 bp. The flanking region of SSR motifs used to design SSR primers by using primer3_core [26]. The parameters used were: optimum length of primer 20 nucleotides, optimum annealing temperature (Tm) of 58 °C, expected amplified products size of 100-500 bp and optimum G/C content 50 %. Validation of designed primer For primer validation, we designed 25 EST-SSR primers and test these primers on 9 olive cultivars. Total genomic DNA was extracted from olive leaves using Plant Genomic DNA Kit (QiGen). PCR amplification was conducted in 25  µ l reactions containing 50 ng of template DNA, 2.5 mM MgCl2, 5  µ l 5X PCR buffer, 0.5 mM each primer, 0.5 U Taq DNA polymerase, and 2.5 mM dNTPs. The PCR cycling profile was 94 °C for 5 min, 35 cycles at 94 °C for 45 s, the optimum annealing temperature for each primer pair shown on (Table S1) for 50 s, 72 °C for 45 s, and a final extension at 72 °C for 10 min. The quality of the PCR product was checked by mixing it with an equal volume of loading buffer and then visualizing the band on a 1.5% agarose gel in TBE buffer at 100 W for 120 min. Identification of EST-SSRs Putative Function annotation The putative function annotation of EST sequences contains SSR performed by used Blast2go program [27] to BLAST against a reference database. Also blast2go program are containing many features such as Gene Ontology (GO), Enzyme Commission (EC), and KEGG annotation. Distribution of various repeat type in olive Our result referred to 4,088 EST sequences about 36.45% from 11,215 of Olea europaea EST sequences as containing 8,295 various motif SSRs that Due to the EST sequences maybe contain more than one SSR motif (Table 1), and this number based on the criteria we used it to identify SSR motifs in the EST sequence. The investigation of different types of SSR repeats in our result showed that the highest percentage of appearance mononucleotide repeats were 77.64%, followed by trinucleotide 11.84%, dinucleotide 8.62%, hexanucleotide 0.84%, pentanucleotide 0.77% and tetranucleotide 0.29% (Fig. 1). The higher abundant of trinucleotide in coding regions were consistent with the previous studies in eukaryotic genomes [28, 31]. In mononucleotide A/T repeats 88.8% were higher than the G/C 11.2% motifs, and these results were proportionate with SSRs analysis of chloroplast SSRs on Olea species [29] and with SSRs analysis of major cereal organelle genome [28]. GA motifs were representing 55% from dinucleotide motifs in olive EST sequences. According to previously studies from foxtail millet [31], barley, maize, rice, sorghum and wheat [30], GA motifs were the most abundant motifs in these crops. AG/CT and GA/TC motifs were the most frequent respectively and CG motifs the lowest frequencies were found in olive, this case reported in the distribution of microsatellites on three different plant families that Brassicaceae, Solanaceae and Poaceae [32]. Dinucleotide motif can represent to multiple codons that depending on the reading frame and can translate into different amino acids such as, AG/CT motif can represent AGA, GAG, CUC and UCU codons in mRNA and translate into the amino acids Glu, Arg, Leu and Ala respe ctively, Ala and Leu were present in protein at higher frequencies, hence the higher incidence of GA, CT motifs in the EST sequences [33]. This could be one of the reasons why GA, CT motifs are present at such highly appearance in EST collections [34], dinucleotide repeats that located on coding regions are more sensitive to any change such as any addition or deletion because that causes a frame shifts and will give different amino acids [35]. As for trinucleotide TCT, TTC were the most common repeat motif in olive EST (Table 2), While AAG/CTT motifs were the most common in chloroplast of Olea species SSRs [29], however, in other crops such as barley, maize, rice, sorghum and wheat CCG or AAC were the most common trinucleotide repeat [30]. Our results revealed that tetranucleotide motifs AATC, CTTT are the most common; however the most common in Olea species SSRs chloroplast were AAAG, CTTT [29]. Pentanucleotide and hexanucleotide AAAAT and GAAAAA respectively are the most common repeat motif in our results while [29] found AATCC was the most common on pentanucleotide in Olea species SSRs chloroplast and hexanucleotide was not found. Design and validate of EST-SSR In this study, we designed 1,801 PCR primer pairs from the 8295 SSR motifs of Olea europaea EST, The designed primers were referred as Oe-ESSR_xxxx, where Oe-ESSR referred to Olea europaea EST SSR, xxxx was referred the number of EST-SSR from 1-1801 and that different of the previously SSR primers designed from chloroplast sequences of Olea species [29]. This primers were listed in the (Table S1), and provide with all information related it such as Primer name, GenInfo Identifier gi number of EST sequence, Repeat type, Repeat Sequence, Length of Repeat, Repeat start on sequence, Repeat end on sequence, Forward and Reveres Primer, Tm ( °C), Length of Primer (bp), product Length (bp), sequence of EST, Sequence Description, gene ontology, Enzyme code and Enzyme Name. We use a sample of 25 primers randomly from these 1,801 EST-SSR primers to validate it by using a genomic DNA isolated from 9 olive cultivars. All tested primers, exhibited successfully amplified and detected polymorphism (Fig. 2). Putative Function annotation of EST-SSRs The putative function annotation of the EST sequences containing SSR performed by used Blast2go program [27]. According to the Blast2go result, 81% from EST sequence as homology with known proteins, while hypothetical or unknown proteins were 1.55%, and 17.37% of this EST sequences did not homology with any known proteins. The gene ontology of olive EST sequences containing SSRs using Blast2GO revealed that in the biological processes, the highly appearance of SSR were involved in cellular processes, metabolic, response to stimulus, biological regulation and developmental process, while Signaling, rhythmic processes and growth had the lowest SSR contents among these EST. The molecular function category includes catalytic activity and binding, while cell membrane and organelle were assigned in the cellular component category (Fig. 3). The Similar results were found on functional annotation of the citrus and date palm EST sequences containing SSRs [20, 36]. Our results agreement with t he similar results obtained in [20] which suggested that genes were involved in protein metabolism and biosynthesis were well conserved in plants. Functional classification by KEGG pathway analyses The KEGG Pathway analysis is useful tool to understand the molecular interaction and biological functions [37]. Our study exhibited a total of 93 different pathways include 253 enzymes target by 381 EST-SSR primers were significant matches in the KEGG database (Table S2), this data can Visualization by using circos software [38] (fig. 4). The higher occurrence of SSR on pathways indicated a good potential for using these molecular markers to targeting the enzyme related to the trait subjected in our study. This EST sequences contain SSR were categorized into metabolism, as well as its subcategories, including lipid metabolism (Table 3), carbohydrate metabolism, energy metabolism, amino acid metabolism, nucleotide metabolism and metabolism of cofactors and vitamins. In details, the mapping result can further investigated against the glycolysis/gluconeogenesis (Fig. 5), Oxidative phosphorylation (Fig. 6) and Fatty acid degradation (Fig. 7) pathways as an example of Carbohydrate metabolism, Energy metabolism and Lipid metabolism respectively. Conclusion SSR markers are very important because it is co-dominant, highly polymorphic and can generate from functional regions of the genome. EST-SSR technique have the potential to generate phenotypically linked functional markers and a useful tool can use on genetic diversity, marker assisted selection and genome mapping in olive. This study exhibited the functional categorization of olive EST sequences containing SSR revealed that these ESTs representing in genes with cellular component, biological process and molecular function. This EST-SSR primers also providing with useful information to understand the biological functions and genes interactions according to the localization of this primers in different pathways related to possible phenotypic differences between the olive cultivars. References Gaby E, Mbanjo N, Tchoumbougnang F, Mouelle AS, Oben JE, Nyine M, et al. Development of expressed sequence tags-simple sequence repeats ( EST-SSRs ) for Musa and their applicability in authentication of a Musa breeding population. Afr J Biotechnol. 2012;11(71):13546–59. Naga BLRI, Mangamoori LN, Subramanyam S. Identification and characterization of EST-SSRs in finger millet (Eleusine coracana (L.) Gaertn.). J Crop Sci Biotechnol. 2012;15(10):9–16. Wen M, Wang H, Xia Z, Zou M, Lu C, Wang W. Development of EST-SSR and genomic-SSR markers to assess genetic diversity in Jatropha Curcas L. BMC Res Notes. 2010;3:42. Wo T. In silico mining for simple sequence repeat loci in a pineapple expressed sequence tag database and cross-species amplification of EST-SSR markers across Bromeliaceae. Theor Appl Genet. 2011;123:635–47. Fu N, Wang PY, Liu XD, Shen HL. Use of EST-SSR markers for evaluating genetic diversity and fingerprinting celery (apium graveolens l cultivars. Molecules. 2014;19:1939–55. Simko I. Development of EST-SSR markers for the study of population structure in lettuce (Lactuca sativa L.). J Hered. 2009;100(2):256–62. Zhang M, Mao W, Zhang G, Wu F. Development and characterization of polymorphic ESTSSR and genomic SSR markers for tibetan annual wild barley. PLoS One. 2014;9(4):1–10. Nakatsuji R, Hashida T, Matsumoto N, Tsuro M, Kubo N. Development of genomic and EST-SSR markers in radish ( Raphanus sativus L .). Breed Sci. 2011;61:413–9. Liu S, Li W, Long D, Hu C, Zhang J. Development and Characterization of Genomic and Expressed SSRs in Citrus by Genome-Wide Analysis. PLoS One. 2013;8(10):1–10. Campus P. Development of EST-SSRs in watermelon (Citrullus lanatus var. lanatus) and their transferability to Cucumis spp. J Hortic Sci Biotechnol. 2008;83(6):732–6. Pinto LR, Oliveira KM, Ulian EC, Garcia AAF, de Souza AP. Survey in the sugarcane expressed sequence tag database (SUCEST) for simple sequence repeats. Genome. 2004;47:795–804. Scott KD, Eggler P, Seaton G, Rossetto M, Ablett EM, Lee LS, et al. Analysis of SSRs derived from grape ESTs. TAG Theor Appl Genet. 2000;100:723–6. Varshney RK, Thiel T, Stein N, Langridge P, Graner A. In silico analysis on frequency and distribution of microsatellites in ESTs of some cereal species. Cell Mol Biol Lett. 2002;7:537–46. Gupta PK, Rustgi S, Sharma S, Singh R, Kumar N, Balyan HS. Transferable EST-SSR markers for the study of polymorphism and genetic diversity in bread wheat. Mol Genet Genomics. 2003;270:315–23. Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, et al. Primer3-new capabilities and interfaces. Nucleic Acids Res. 2012;40(15):1–12. Conesa A, Gà ¶tz S, Garcà ­a-Gà ³mez JM, Terol J, Talà ³n M, Robles M. Blast2GO: A universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005;21(18):3674–6. Rajendrakumar P, Biswal AK, Balachandran SM, Sundaram RM. In silico analysis of microsatellites in organellar genomes of major cereals for understanding their phylogenetic relationships. In Silico Biol. 2008;8:87–104. Filiz E, Koc I. In Silico chloroplast SSRs mining of Olea species. BIODIVERSITAS. 2012;13(3):114–7. Kantety R V., La Rota M, Matthews DE, Sorrells ME. Data mining for simple sequence repeats in expressed sequence tags from barley, maize, rice, sorghum and wheat. Plant Mol Biol. 2002;48:501–10. Jia XP, Shi YS, Song YC, Wang GY, Wang TY, Li Y. 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De novo assembly and characterization of bark transcriptome using Illumina sequencing and development of EST-SSR markers in rubber tree ( Hevea brasiliensis Muell . Arg .). BMC Genomics. 2012;13:192. Krzywinski M, Schein J, Birol I, Connors J, Krzywinski M, Schein J, et al. Circosà ¢Ã¢â€š ¬Ã‚ ¯: An information aesthetic for comparative genomics Circosà ¢Ã¢â€š ¬Ã‚ ¯: An information aesthetic for comparative genomics. Genome Res. 2009;19:1639–45.

Reflective statement †IRS Essay

After finishing my research project and finally submitting my report, it is necessary that I write a reflective statement on what I have gained from my study. My tutor helped me to change the topic of my research which was â€Å"The link between employee satisfaction and service quality in the hotel industry† to â€Å"How to increase employee retention at the Blue tree hotels†. This helped me be more specific, to focus on a situation on ground, rather than being too general. The broadness of my topic would not help me narrow down to a specific case. This would not help me to draw clear lessons from the project. Being more specific in the project topic statement helped me come up with concise hypothesis for the research. It ultimately made me learn a lot from the project. My methodology was to carry out a filed survey, and sample some of the industries to get information from them. On the advice from my tutor, I changed it to comparative method, which I performed, selecting international hotel chains, such as Marriott, and also using different kinds of case studies in the hospitality industry in order to analyze, compare and opt for the best system and attitude used by them. I got these findings with the intention of implementing them at the Blue Tree Hotels and as a consequence meet the company’s goal. On presenting my idea my tutor, the feedback was negative, but it was helpful as I need pressure to work better. Her guidance led me to the above-discussed process which finally gave me success. At this point I was able to carryout my research with ease and also became considerably successful. The whole process has imparted in me skills and knowledge that are necessary for working on projects, and managing employees for a successful organization or a company. Since the choice of this research project made me to research on employee retention and job satisfaction, it made focus on specific parts of Human Resource management. The ‘employee’ is a very important aspect in an organization, company or institution (Henriques and Sadorsky 199). There are several principles about job satisfaction and retention that I have learned from this project. Furthermore, I have also gained skills in project management, especially in terms of research in order to meet a certain objective. On project management, I was able to sharpen my skills on research. The first thing was the ability to plan my research project (Kumar, 2005). From the topic that my tutor recommended I was able to come up with a research problem. The formulated problem was that the high turn over of employees in various companies has become very expensive. This is fundamentally because the organization or the company loses knowledge and resource they have invested in equipping these people in favor of their competitors (Ramlall, 2003). I was also able to design a model that fit my research project well. I chose on secondary research, which would led me to visit various websites to collect information about how various hotels and hospitality industries had succeeded in maintaining their employees. Secondly, I studied how these companies had achieved their overall goals, based on the principle of employee retention and satisfaction. I chose the highly trusted online data base sites such us Emerald and Ebsco. This formed a good basis of data collection. After identifying this method, I chose the samples to study. These were the best performing companies in this industry. They are Marriot, and Four Seasons. This ultimately led to my writing of the proposal that was accepted by my tutor after following her guidance. In the second step, conducting the study, I was successful in collecting the data from various websites, and studied the data in comparison (Kumar, 2005). I also used books to learn how these companies had applied specific principles in managing this vital resource in the companies. This was in the process of data processing to make them clear during presentation. After successful processing of data, I wrote the report that would easily help in the implementation phase of the project. The report had a very clear explanation on facts about employee retention, loyalty and satisfaction. The aspect I gained through this project is the way to conduct a research and not only stop at the research level but write a report that has conclusions that have clarity and teams can use them to conduct the implementation stage of the project. As I mentioned earlier, I have also come to appreciate the importance of taking care of employees in an organization. Retaining them goes along with how satisfied they are. This becomes a good basis of quality efficient service for the company, institution or organization. In order to maintain competitive advantage, companies have to do all their best to retain the employees they have (Ans and Meganck, 2009). This is because if an organization loses an employee, the quality of the service delivered will be greatly affected, decrease on the efficiency of the service delivery and as a consequence lose guests in addition to profits (Ramlall, 2003). Again, It is clear that in hospitality business, success comes from the loyal employees, since they are committed and trustworthy. This will increase organization’s profitability alongside customer loyalty (Villares and Coelho, 2003). Finally, I learned that increased job satisfaction leads to decreased turnover rates (Smith and Rupp, 2002). From the study I found out that competitive schemes of paying employees, diverse programs of employee motivation, training and reward plans would be very effective in retaining the employees in an organization. Emphatically, such things as opportunities that the companies give in terms of professional growth of the employees also matter. Mutual and hierarchical recognition also are very important in the organization. Lastly the social fabric must be constructed in to encourage teamwork and so cordial relationships among all the workers. This project has made me set for my future career as a manager; for I definitely know that the whole picture of an organization is seen in its employees. Four Seasons rightly confess that, â€Å"Our greatest asset, and the key to our success, is our people† (Four Seasons, 2010). In addition to this I have gained knowledge and skills in research, which will greatly help in project management. This has also sharpened my critic ability, and I will be able to analyze situations keenly, consequently coming up with well judged conclusions.

Whole Foods Market Environmental Analysis Essay - 1315 Words

(i) Environmental Analysis – External Opportunities and Threats The demographic, economic and the socio-cultural segments would be the most relevant segments to Whole Foods Market. These segments have a direct impact on the profitability, sustainability and survivability of Whole Foods Market, and the organic food industry. The relevance of the demographic segment stems from the fact that the age structure, income distribution and population size are important factors which will influence the demand for organic products. The economic segment is relevant, as an affluent population will continue to drive and sustain demand for organic products. The socio-cultural segment is another relevant segment, where attitudes about quality of life,†¦show more content†¦Other than an increase in consumption of fresh fruits, vegetables and grain-based products, vitamins and nutritional supplements have also seen an increase demand due to changes in societal trends. Americans are now more willing to splurge on healthy, organic foods. In fact, organic fo ods are deemed beneficial and it has since been accepted as a mainstream choice of diet. Changing preferences due to a higher proportion of women in the workforce also mean that consumers today prefer a one-stop shopping experience that is being offered by Whole Foods. The organic food industry has seen a huge spike in growth that is expected to continue into the future due to an increase in consumption. This will provide Whole Foods Market with huge opportunities. In addition, a wave of ethical and responsible consumption has swept across America. Whole Foods’ decision to pursue sustainable activities will certainly give consumers an added incentive to purchase its organic products. Stiff competition within the industry would be one of the key threats that Whole Foods will face. Strong competitors, coupled with grocery stores that have incorporated natural food sections into the stores, have made it more challenging for Whole Foods to maintain its pole position in the market. As the market for organic foods expands rapidly, mainstream supermarkets are also competing for a slice of the pie. Strict government regulations and the lack of prime locations have made it moreShow MoreRelatedWhole Foods Market Is Responsible For Protection Of Human Health And The Environment1413 Words   |  6 PagesIntroduction About Whole Foods Market Whole Foods Market is a supermarket chain launched in 1980 and is the first certified organic grocer in the United States. They are a growing chain with 462 locations all around the world as of 2016 with more than 90,000 employees. Whole Foods underpinning culture is to sell the highest quality of organic products to meet the needs of every customers, while supporting their team members value. 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Value Chain†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦...Page 2 4. Conclusion†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.....Page 4 5. References†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦...†¦Ã¢â‚¬ ¦..Page 5 Introduction Whole Foods started in 1980 when it’s CEO, John Mackey merged his store, SaferWay, with a competitor, Clarksville Natural Grocery. Since then, Whole Foods has expanded to 275 locations in North America and UnitedRead MoreBackground And History Of Pepsico Inc959 Words   |  4 Pages Background and History of PepsiCo. 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