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Reseach Article

Identification of Candidate Genes, Governing Gynoecy In Bitter Gourd (Momordica Charantia L.) by In-Silico Gene Expression Analysis

Published on May 2014 by Raghavendra Gunnaiah, Vinod M. S., Krishna Prasad, Elangovan M
National Conference cum Workshop on Bioinformatics and Computational Biology
Foundation of Computer Science USA
NCWBCB - Number 2
May 2014
Authors: Raghavendra Gunnaiah, Vinod M. S., Krishna Prasad, Elangovan M
00c4cd81-3d19-4b8c-b210-74daa9ffa893

Raghavendra Gunnaiah, Vinod M. S., Krishna Prasad, Elangovan M . Identification of Candidate Genes, Governing Gynoecy In Bitter Gourd (Momordica Charantia L.) by In-Silico Gene Expression Analysis. National Conference cum Workshop on Bioinformatics and Computational Biology. NCWBCB, 2 (May 2014), 5-9.

@article{
author = { Raghavendra Gunnaiah, Vinod M. S., Krishna Prasad, Elangovan M },
title = { Identification of Candidate Genes, Governing Gynoecy In Bitter Gourd (Momordica Charantia L.) by In-Silico Gene Expression Analysis },
journal = { National Conference cum Workshop on Bioinformatics and Computational Biology },
issue_date = { May 2014 },
volume = { NCWBCB },
number = { 2 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/ncwbcb/number2/16512-1412/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference cum Workshop on Bioinformatics and Computational Biology
%A Raghavendra Gunnaiah
%A Vinod M. S.
%A Krishna Prasad
%A Elangovan M
%T Identification of Candidate Genes, Governing Gynoecy In Bitter Gourd (Momordica Charantia L.) by In-Silico Gene Expression Analysis
%J National Conference cum Workshop on Bioinformatics and Computational Biology
%@ 0975-8887
%V NCWBCB
%N 2
%P 5-9
%D 2014
%I International Journal of Computer Applications
Abstract

Bitter gourd (Momordica charantia L. ) is both medicinally and economically highly valued cucurbit. Hybrid vigor has been well exploited for early maturity, higher yields and other genetic and agronomic traits. However, hybrid seed production in bitter gourd is labor-intensive requiring manual bagging and hand pollination. Use of gynoecious lines as female parent that produce only female flowers have not only reduced the labor requirement, but also have increased yields in hybrids and have good combining ability. However, early phenotypic detection of gynoecy in breeding lines is difficult as gynoecy is highly influenced by environment. To identify the candidate genes governing gynoecy, differentially expressing gene between a gynoecious (Gy323) and a monoecious line (DRAR-1) were explored. 7865 genes were differentially regulated between two lines and 4131 genes were up regulated in gynoecious lines. Up regulated genes in gynoecious line; BTB/POZ domain-containing protein that regulate floral development and previously reported ethylene biosynthesis and regulation genes in cucumber and melon; 1-aminocyclopropane-1-carboxylate oxidases and 1-aminocyclopropane-1-carboxylate synthase and ethylene receptor and ethylene responsive proteins were identified as putative candidate genes for gynoecy in bitter gourd.

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Index Terms

Computer Science
Information Sciences

Keywords

Bitter Gourd Gynoecy In-silico Gene Expression Analysis Ethylene Biosynthesis Btb/poz Domain-containing Protein Acs1 Aco