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Vol.2 , No. 4, Publication Date: Aug. 20, 2015, Page: 113-134
 these stress factors both biotic and abiotic significantly impact the production of crop in response to these, plants activates a number of defense mechanism that function to increase tolerance in adverse conditions. Therefore tracking the candidate genes responsible for stress tolerance through sequence similarity and functional studies is becoming increasing important for breeding and will act as useful resource for comparative genomics and can be further used as molecular markers or for genetic transformation to develop desired. Thus, research initiatives have been launch to produce genomic and transcriptomic data about legumes species (<i> Cajanus cajanus, Cicer arietinum, Pisum sativum</i> and <i>Lens culinaris</i>). <i>Results: </i> Assembling the ESTs of <i>Cajanus cajanus, Cicer arietinum, Pisum sativum, Lens culinaris</i> and by applying various bioinformatics tools, the detection of GC content through GC profile, prediction of ka/ks values using MEGA 5.0, identified legume genes under purifying and positive selection and phylogenetic relationship among various stress factors(biotic and abiotic) in four legume species. On these result we emphasize gene annotations and discuss various stress factors based on the categories defined. <i>Conclusion: </i> Identifying and mining genes involved in stress response represent a key step to unraveling and manipulating stress tolerance in legumes. Comparative analysis among the legumes within the same species and between species will enable us to identify species specific genes underlying stress response. Despite knowing that comparisons between these legumes species data should be carefully inspected, our initiative established possible transcriptome elements that could guide the legumes specific community in unraveling the molecular mechanism that distinguish these four extremely important legumes species. In addition, the annotation of legumes-specific/stress prominent genes adds new element to genomic initiatives that our searching for traits (factors) that could differentiate legume each species from other. We believe that such data are a valuable aid to the interpretation of legume development, providing insight that could help in legumes reading program and indicating potential targets for functional analysis and biotechnology products of such socially and economically important legume species.&picture=http://www.aascit.org/aascit/decorators/img/journal/923.jpg)
| [1] | Sabeen Fatma, Department of Bioinformatics, Faculty of Biological Engineering, Shobhit University, Meerut, India. |
| [2] | Jitender Singh, College of Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut, India. |
| [3] | D. V. Rai, Department of Bioinformatics, Faculty of Biological Engineering, Shobhit University, Meerut, India. |
| [4] | Mohd Uruj Jaleel, School of CS & IT, Singhania University, Jhunjhunu, Rajasthan, India. |
Background : Legume is one of the worldˈs most important crop, it is consumed worldwide and play a significant role in the economy of producing countries. Legume crop productivity is severely affected due to various stress factors both biotic and abiotic(e.g. drought, salinity, cold, ethylene temperature, kinase cascade) these stress factors both biotic and abiotic significantly impact the production of crop in response to these, plants activates a number of defense mechanism that function to increase tolerance in adverse conditions. Therefore tracking the candidate genes responsible for stress tolerance through sequence similarity and functional studies is becoming increasing important for breeding and will act as useful resource for comparative genomics and can be further used as molecular markers or for genetic transformation to develop desired. Thus, research initiatives have been launch to produce genomic and transcriptomic data about legumes species ( Cajanus cajanus, Cicer arietinum, Pisum sativum and Lens culinaris). Results: Assembling the ESTs of Cajanus cajanus, Cicer arietinum, Pisum sativum, Lens culinaris and by applying various bioinformatics tools, the detection of GC content through GC profile, prediction of ka/ks values using MEGA 5.0, identified legume genes under purifying and positive selection and phylogenetic relationship among various stress factors(biotic and abiotic) in four legume species. On these result we emphasize gene annotations and discuss various stress factors based on the categories defined. Conclusion: Identifying and mining genes involved in stress response represent a key step to unraveling and manipulating stress tolerance in legumes. Comparative analysis among the legumes within the same species and between species will enable us to identify species specific genes underlying stress response. Despite knowing that comparisons between these legumes species data should be carefully inspected, our initiative established possible transcriptome elements that could guide the legumes specific community in unraveling the molecular mechanism that distinguish these four extremely important legumes species. In addition, the annotation of legumes-specific/stress prominent genes adds new element to genomic initiatives that our searching for traits (factors) that could differentiate legume each species from other. We believe that such data are a valuable aid to the interpretation of legume development, providing insight that could help in legumes reading program and indicating potential targets for functional analysis and biotechnology products of such socially and economically important legume species.
Keywords
ESTs, Legumes, Abiotic, Biotic, GC Profile, ka and ks
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