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Volume 6, Issue 5, October Issue - 2018, Pages:792-799

Authors: Manaj Kumar Barman, Archana Kumari, Jatin Sarmah
Abstract: Acyrthosiphon pisum is a major crop pest found worldwide. It causes significant damage to legumes. The A. pisum is a model organism for biological studies. The aim of the work is to develop effective control methods for this pest species. A computational approach to identify genes for stress response, immune response, recognition and signaling was performed. The four unassembled ESTs libraries namely antennae, head, digestive tract and whole body were taken for the study. The functional annotation was done for four EST libraries by Blast2GO software. Local BLAST was performed with the assembled transcriptome sequence (GenBank: SRX316762) for gene expression analysis. The complete ORF of screened were predicted in ORF finder and validated by SmartBlast tool. Further, the proteins were characterized using several tools and servers: signal peptide by SignalP 4.0, physiochemical properties by the ProtParam tool, sub-cellular localization by ProtComp V9. The analysis revealed 26 genes expressed during microbial infection. Genes were further categorized into four ontologies: stress response, immune response, recognition and signaling. The signal peptide was present in 9 proteins. The aliphatic index, excitation index, instability index, theoretical points, molecular weight, amino acids residues, positively and negatively charged residues and grand average of hydrophobicity   were the physiochemical properties studied in the proteins. From subcellular localization cytoplasmic, nuclear, mitochondrial, endoplasmic reticulum, plasma membrane and extracellular proteins were obtained.
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Full Text: 1 Introduction Acyrthosiphon pisum (commonly called as pea aphid) is a sap-sucking insect of aphididae family. It is a model organism for biological study with sequenced genome. It has agronomical importance as it feeds on several species of legumes worldwide. The aphid is 4mm in length in adult stage. They ingest the phloem sap from the lower side of buds, leaves and pods of legumes and thus cause severe economic loss. A. pisum also act as a vector for many viral diseases of plants. The use of predators, parasitoids and chemical insecticides are applied to protect the plants against the pea aphids. The species reproduce by viviparous parthenogenesis. Each adult female gives birth to 4-12 female nymphs per day. They develop to mature females in 8-10 days and lifespan is 30 days.  Many aphid species including A. pisum causes serious physical and economic damage to agricultural crops of legumes family found in North-Eastern states of India. On many crops, insecticides provide simple solution for aphid control. The large-scale application of such insecticides is becoming increasingly unacceptable, however, and their large-scale application of pesticides needs to optimize in an environmentally acceptable way to maintain both farm income and adequate food supply. It is also important that the aphid species (more than 20) have developed resistance population against most of insecticides (Dixon, 1998; Javed et al., 2003). The use of plant verities resistance aphid species is an alternative to chemical control. Again, aphids have developed biotypes that able to overcome the few sources of aphid resistance in plants (Anstead et al., 2005). The biotype properties induced by its parasitoids Aphidus ervi (Trotta et al., 2018). Therefore, a number of studies have aimed to develop effective control methods for this pest species using different gene ontology such as stress response, immune etc. Presently, great effort has been put to understand the mechanisms due to which the species is able to exploit different plant species by having ancestries adapted to many host plants which respond in different ways to chemical and biological control agents (Nagoshi et al., 2007; Machado et al., 2008; Groot et al., 2008; Barros et al., 2010; Carvalho et al., 2013; Jakka et al., 2014). This was possible after EST collection, which was selected in 2005 by the National Human Genome Research Institute for sequencing (Sabater-Munoz et al., 2006). In pest control approaches, a suitable approach to identify genes with differential expression in different tissues or developmental stages is construction of cDNA libraries (Duan et al., 2013; Lenz et al., 2013; Robert et al., 2013; Kim et al., 2014; Nanoth-Vellichirammal et al., 2014; Benoit et al., 2014; Sinha et al., 2014). Due to paucity of sufficient information from in vivo works, the in silico information acquired from transcriptome mining becomes handy for identification and characterization of proteins of interest. The present in silico work aims to identify the responsible genes for stress response, immune response, recognition and signaling response of  A. pisum through comparison of expressed sequence tags (ESTs) from tissue specific one assembled reference library and four unassembled library to characterize their gene functions and sub-cellular locations. It is expected that the derived information shall be helpful in understanding defense mechanism of A. pisum as well as in formulating biological control mechanisms of the pest. 2 Materials and Methods 2.1 Retrieval of expressed sequences tag (EST) and transcriptome The identification of REPAT genes includes stress response, signaling, recognition and immune response was based on the analysis of (SRX031648) assembled sequences downloaded from galaxy ( Additionally, four EST unassembled libraries were downloaded from NCBI ( These four EST libraries were: ApAL3SD & ID0AEE (antennae), ApDT& ApHL3LD (digestive tract), ApHL3SD & ID0ACC (head), and ApMS;14419;14436(whole body, multistage). The libraries were assembled with SOAP2novo with the default settings available in the DDBJ website (Nagasaki et al., 2013). 2.2 Functional annotation of assembled Sequence and local blast with the transciptome The annotation of the assembled EST was predicted by using Blast2go software (Conesa et al. 2005). Blast2GO is an all in one bioinformatics solution for functional annotation of (novel) sequences and the analysis of annotation data. A database was created from assembled transcriptome SRX031648 by using Blast2GO software. The annotated ESTs were local Blast with the assembled transcriptome database to detect the presence of stress and other related responses genes. The identification of stress response and other related response genes in A. pisum was based on homology analysis using Blastx searches against the SRX031648 assembled EST library, with an e-value <10-5 and other default parameters. The statistical test suggested by Romualdi et al. (2001) was followed to analyze the frequency of the stress and other ESTs in each of the unassembled libraries as an indicator of their indicator level. The blast search was done by taking 1e-30. The sequences with two or more matches were eliminated from the results. Finally the best scores were selected. Thus the differences in gene expression in each library were evaluated and hits with similarity score of more than 95% were further considered. 2.3 ORF analysis of the detected (REPAT) stress response genes and other related genes The ORF analysis of all the detected sequences was done by using ORF finder tool with significant Blast results (e-value <10-5) to detect the presence of complete open reading frames (ORF). The sequences with the best e-value and high similarity with stress response and other related gene sequences were selected for the analysis. 2.4 Analysis of signal peptide for the stress response and other related proteins (REPAT) The presence/absence of signal peptide was predicted by using the SignalP 4.0 server ( SignalP/). 2.5 Subcelluler localization of detected 26 proteins The potential subcellular localization of the 26 proteins was predicted using ProtComp Version 9.0 ( in A. pisum. 2.6 Physico-chemical properties of the selected proteins The physico-chemical properties of the 26 proteins predicted in A. pisum were calculated by ProtParam tool ( The parameters calculated were theoretical isoelectric point, extinction coefficients composition of amino acids, positively and negatively charged residues, aliphatic index, instability index and molecular weight. 3 Results 3.1 Molecular information and Blastx results of A. pisum REPAT genes The blastx analysis showed the presence of 26 REPAT proteins in the cDNA library of Acyrthosiphon pisum (Table 1). Genes were distributed in different tissues; 6 REPAT  members were found in antennae, 18 REPAT  members in head, 4 REPAT  members in digestive tract which is considered as primary site for pathogen entry and 24  REPAT  members were found in non treated whole-body multistage. The similarity with homologous REPAT genes found in M. persicae ranged from 68% to 99%. The similarity was higher than 95% in seven genes. In REPAT 745 and REPAT 1080 lowest similarity values were found. The number of amino acid residues present in A. pisum  REPAT proteins were found to be same as those found in homologous in 17 cases. These are REPAT 192,  REPAT 509,  REPAT 742,  REPAT 898,  REPAT 997,  REPAT 1007,  REPAT 1071,  REPAT 1236,  REPAT 1452,  REPAT 1828,  REPAT 2575,  REPAT 3244,  REPAT 3247,  REPAT 4015 and  REPAT 4134. There were differences of one residue in REPAT 2315 and two residues in  REPAT 1045. Differences with more than four residues in the homologue of M. persicae were found in REPAT 145, REPAT 1080, REPAT 1561,  REPAT 2688,  REPAT 3811 and  REPAT 3815. 3.2 Functional annotation and EST presence of Acyrthosiphon pisum REPAT proteins Functional annotation of the 26 REPAT proteins was predicted by Blast2GO software (Conesa et al. 2005) to detect the presence of stress and other related responses genes in A. pisum. The analysis of Blast2GO results showed six proteins were detected in antennae, four proteins were detected in digestive tract and more than 15 proteins were present in two tissue libraries (Table 2). The frequency of the EST in each library showed high expression of some genes in different libraries. According to the number of ESTs found in each library, it was inferred that some genes were highly expressed: 20 hits in REPAT 1080 in whole-body multistage, 12 hits in REPAT 898 in head, 6 hits in REPAT 1007 in the digestive tract and 3 in antennae. 3.3 ORF analysis of the selected proteins of A. pisum From the ORF finder analysis, we get the results of only 26 of these exhibited complete ORFs. Incomplete ORFs were found REPAT 65, REPAT 279, REPAT 1852, REPAT 2647, REPAT 3896, REPAT 4000 and REPAT 4152 of the A. pisum library. The complete ORF consist both initiation codon and termination codon but not in incomplete ORF. 3.4 Analysis of signal peptide for the stress response and other related proteins (REPAT) The presence/absence of signal peptide was predicted by using the SignalP 4.0 server ( SignalP/). From this analysis we get 9 signal peptides present of our screened REPAT proteins shown in table 1. 3.5 Sub-cellular localization and physico-chemical properties of the predicted REPAT proteins The subcellular localization of the REPAT proteins in A. pisum was predicted by using online tool ProtComp. The ProtComp analysis showed that all 26 proteins has the different functional category (Extracellular membrane bound, extracellular, nuclear, plasma membrane and Cytoplasmic) and can be associated with four ontology categories, namely, stress response ( REPAT 145, REPAT 997, REPAT 1007, REPAT 1071, REPAT 1452, REPAT 1561, REPAT 2315, REPAT 2688, REPAT 3244, REPAT 3247, REPAT 3815, REPAT 4015 and REPAT 4134), immune response ( REPAT 192, REPAT 509, REPAT 898, REPAT 983, REPAT 1045, REPAT 1080, REPAT 1236 and REPAT 3811), signaling    ( REPAT 650, REPAT 874, REPAT 1828 and REPAT 2575) and recognition ( REPAT 742). The stress response category was found in libraries from antennae, digestive tract, head and multiple stages of whole-body. The same functional and ontological categories were found for homologous REPAT proteins from M. persicae. Excepts REPAT 509 and REPAT 2315 were classified as secretary proteins by ProtComp. The physico-chemical properties of REPAT proteins of A. pisum obtained by ProtParam tool are shown in Table 3. This illustrates the physico-chemical properties of stress response, immune response, signaling and recognition genes responsible for A. pisum. The result explains that the molecular weight is less than 30 Daltons in the proteins. The theoretical PIs indicate the presence of 7 basic proteins (509, 874, 1045, 1080, 1828, 2315 and 4015) and 19 acidic proteins (REPAT 145, 192, 650, 742, 898, 983, 997, 1007, 1071, 1236, 1452, 1561, 2575, 2688, 3244, 3247, 3815 and 4134). The proteins namely, REPAT 192, 509, 874, 898, 997, 1007, 1045, 1080, 1452, 2575, 3244, 3247 and 3815 are found to be instable from the results of instability index. Almost all values obtained in computational physico-chemical analysis are similar to those found in homologous REPAT from M. persicae. The instability index below 40 were considered as stable and more than 40 were unstable. 4. Discussion and Conclusion The genes described in the study based on features like similarity of nucleotides, numbers of amino acid residues and mol. wt. of the amino acids as illustrated by Navarro-Cerrillo et al. (2013); Machado et al. (2016). Further, the proteins have same functional and ontological categories found in their homologous. The study of the REPAT proteins is related to the tissue where the main expression and specific function occur. Earlier studies have shown the importance of REPAT proteins in immune response during infection by pathogens (Herrero et al., 2007; Hernandez-Rodriguez et al., 2009; Navarro-Cerrillo et al., 2012; Navarro-Cerrillo et al., 2013). However, we have detected 26 REPAT proteins from EST libraries of head, antennae, digestive tract and multistage of whole-body, showing different expression patterns based on EST frequency. The presence of these proteins in tissues other than midgut was mentioned previously (Navarro-Cerrillo et al., 2013), The presence of some specific REPAT proteins in head, antennae, digestive tract and whole-body multistage indicates a more widespread action of these proteins in A. pisum, which are likely involved in various processes, such as stress response, signaling and immune function, as indicated by ProtParam analysis. The signaling system plays major roles in stress response (Patel & Chu, 2011; Li et al., 2018). High expression level of genes related to immunity, detoxification, stress and maintenance of cell structure during analysis of the libraries (Schafer & Buettner, 2001; Bravo et al., 2011). The possibility of the existence of REPAT proteins with different ontological functions, based on differences in their subcellular localization, expression pattern and interactions were forwarded by Navarro-Cerrillo et al. (2012). The EST frequencies in the analyzed libraries may indicate high expression levels of REPAT 898, REPAT 938 and REPAT1080. These are involved in immune response in whole-body, multistage. Moreover, REPAT 1007 may be associated with stress response, as it showed high expression in digestive tract of larvae submitted to stress conditions and in the case of REPAT 1452 related to stress response that showed a high level of expression in whole-body, multistage. The expression patterns indicate the existence of differences in expression rates of REPAT proteins in different tissues under different conditions. However, the interpretation of these results is difficult at the moment, as a library from whole-body, multistage of A. pisum larvae infected with bacteria or viruses is unavailable. Further, our analyses found the presence of 22 REPAT genes in the EST libraries of A. pisum. These results might be due to the fact that most REPAT proteins are over expressed in whole-body, multistage but only as a response to infection (Herrero et al., 2007; Hernandez-Rodriguez  et al., 2009; Navarro-Cerrillo et al., 2013; Machado et al., 2016). The present work is the first studies of REPAT family genes in A. pisum using bioinformatics approach based on transcriptome analysis using four EST libraries. Stress response and other related genes have an essential role in control of their development on crops. The analysis of the present work will help to increase the understanding of the genetic bases of stress response genes. This analysis is a key for further experiment about these pest species is pest management. Ultimately, it will increase the opportunity to develop effective control methods for this pest species that may have great importance in the field of agriculture and food production. Acknowledgement We gratefully acknowledge the Department of Biotechnology, Government of India sponsored Bioinformatics Infrastructure Facility at Bodoland University for offering the infrastructure for the work. All authors have contributed equally to this work. Conflicts of interest: Nil

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