Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)

Abstract Bitter gourd (Momordica charantia L.) is an economically important vegetable crop grown in tropical parts of the world. In this study, a high-density linkage map of M. charantia was constructed through genotyping-by-sequencing (GBS) technology using F2:3 mapping population generated from th...

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Autores principales:	P. Gangadhara Rao, T. K. Behera, Ambika B. Gaikwad, A. D. Munshi, Arpita Srivastava, G. Boopalakrishnan, Vinod
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09d9ace33e664639abe6720ccbbd7b16
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spelling	oai:doaj.org-article:09d9ace33e664639abe6720ccbbd7b162021-12-02T10:54:06ZGenetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)10.1038/s41598-021-83548-82045-2322https://doaj.org/article/09d9ace33e664639abe6720ccbbd7b162021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83548-8https://doaj.org/toc/2045-2322Abstract Bitter gourd (Momordica charantia L.) is an economically important vegetable crop grown in tropical parts of the world. In this study, a high-density linkage map of M. charantia was constructed through genotyping-by-sequencing (GBS) technology using F2:3 mapping population generated from the cross DBGy-201 × Pusa Do Mausami. About 2013 high-quality SNPs were assigned on a total of 20 linkage groups (LGs) spanning over 2329.2 CM with an average genetic distance of 1.16 CM. QTL analysis was performed for six major yield-contributing traits such as fruit length, fruit diameter, fruit weight, fruit flesh thickness, number of fruits per plant and yield per plant. These six quantitative traits were mapped with 19 QTLs (9 QTLs with LOD > 3) using composite interval mapping (CIM). Among 19 QTLs, 12 QTLs derived from ‘Pusa Do Mausami’ revealed a negative additive effect when its allele increased trait score whereas 7 QTLs derived from ‘DBGy-201’ revealed a positive additive effect when its allele trait score increased. The phenotypic variation (R2%) elucidated by these QTLs ranged from 0.09% (fruit flesh thickness) on LG 14 to 32.65% (fruit diameter) on LG 16 and a total of six major QTLs detected. Most QTLs detected in the present study were located relatively very close, maybe due to the high correlation among the traits. This information will serve as a significant basis for marker-assisted selection and molecular breeding in bitter gourd crop improvement.P. Gangadhara RaoT. K. BeheraAmbika B. GaikwadA. D. MunshiArpita SrivastavaG. BoopalakrishnanVinodNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q P. Gangadhara Rao T. K. Behera Ambika B. Gaikwad A. D. Munshi Arpita Srivastava G. Boopalakrishnan Vinod Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
description	Abstract Bitter gourd (Momordica charantia L.) is an economically important vegetable crop grown in tropical parts of the world. In this study, a high-density linkage map of M. charantia was constructed through genotyping-by-sequencing (GBS) technology using F2:3 mapping population generated from the cross DBGy-201 × Pusa Do Mausami. About 2013 high-quality SNPs were assigned on a total of 20 linkage groups (LGs) spanning over 2329.2 CM with an average genetic distance of 1.16 CM. QTL analysis was performed for six major yield-contributing traits such as fruit length, fruit diameter, fruit weight, fruit flesh thickness, number of fruits per plant and yield per plant. These six quantitative traits were mapped with 19 QTLs (9 QTLs with LOD > 3) using composite interval mapping (CIM). Among 19 QTLs, 12 QTLs derived from ‘Pusa Do Mausami’ revealed a negative additive effect when its allele increased trait score whereas 7 QTLs derived from ‘DBGy-201’ revealed a positive additive effect when its allele trait score increased. The phenotypic variation (R2%) elucidated by these QTLs ranged from 0.09% (fruit flesh thickness) on LG 14 to 32.65% (fruit diameter) on LG 16 and a total of six major QTLs detected. Most QTLs detected in the present study were located relatively very close, maybe due to the high correlation among the traits. This information will serve as a significant basis for marker-assisted selection and molecular breeding in bitter gourd crop improvement.
format	article
author	P. Gangadhara Rao T. K. Behera Ambika B. Gaikwad A. D. Munshi Arpita Srivastava G. Boopalakrishnan Vinod
author_facet	P. Gangadhara Rao T. K. Behera Ambika B. Gaikwad A. D. Munshi Arpita Srivastava G. Boopalakrishnan Vinod
author_sort	P. Gangadhara Rao
title	Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
title_short	Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
title_full	Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
title_fullStr	Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
title_full_unstemmed	Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)
title_sort	genetic analysis and qtl mapping of yield and fruit traits in bitter gourd (momordica charantia l.)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/09d9ace33e664639abe6720ccbbd7b16
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Genetic analysis and QTL mapping of yield and fruit traits in bitter gourd (Momordica charantia L.)

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