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Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea

In the present study, molecular mapping of high-resolution plant height QTLs was performed by integrating 3625 desi genome-derived GBS (genotyping-by-sequencing)-SNPs on an ultra-high resolution intra-specific chickpea genetic linkage map (dwarf/semi-dwarf desi cv. ICC12299 x tall kabuli cv. ICC8261...

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Autores principales: Kujur, Alice, Upadhyaya, Hari D., Bajaj, Deepak, Gowda, C. L. L., Sharma, Shivali, Tyagi, Akhilesh K., Parida, Swarup K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913251/
https://www.ncbi.nlm.nih.gov/pubmed/27319304
http://dx.doi.org/10.1038/srep27968
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author Kujur, Alice
Upadhyaya, Hari D.
Bajaj, Deepak
Gowda, C. L. L.
Sharma, Shivali
Tyagi, Akhilesh K.
Parida, Swarup K.
author_facet Kujur, Alice
Upadhyaya, Hari D.
Bajaj, Deepak
Gowda, C. L. L.
Sharma, Shivali
Tyagi, Akhilesh K.
Parida, Swarup K.
author_sort Kujur, Alice
collection PubMed
description In the present study, molecular mapping of high-resolution plant height QTLs was performed by integrating 3625 desi genome-derived GBS (genotyping-by-sequencing)-SNPs on an ultra-high resolution intra-specific chickpea genetic linkage map (dwarf/semi-dwarf desi cv. ICC12299 x tall kabuli cv. ICC8261). The identified six major genomic regions harboring six robust QTLs (11.5–21.3 PVE), associated with plant height, were mapped within <0.5 cM average marker intervals on six chromosomes. Five SNPs-containing genes tightly linked to the five plant height QTLs, were validated based upon their high potential for target trait association (12.9–20.8 PVE) in 65 desi and kabuli chickpea accessions. The vegetative tissue-specific expression, including higher differential up-regulation (>5-fold) of five genes especially in shoot, young leaf, shoot apical meristem of tall mapping parental accession (ICC8261) as compared to that of dwarf/semi-dwarf parent (ICC12299) was apparent. Overall, combining high-resolution QTL mapping with genetic association analysis and differential expression profiling, delineated natural allelic variants in five candidate genes (encoding cytochrome-c-biosynthesis protein, malic oxidoreductase, NADH dehydrogenase iron-sulfur protein, expressed protein and bZIP transcription factor) regulating plant height in chickpea. These molecular tags have potential to dissect complex plant height trait and accelerate marker-assisted genetic enhancement for developing cultivars with desirable plant height ideotypes in chickpea.
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spelling pubmed-49132512016-06-21 Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea Kujur, Alice Upadhyaya, Hari D. Bajaj, Deepak Gowda, C. L. L. Sharma, Shivali Tyagi, Akhilesh K. Parida, Swarup K. Sci Rep Article In the present study, molecular mapping of high-resolution plant height QTLs was performed by integrating 3625 desi genome-derived GBS (genotyping-by-sequencing)-SNPs on an ultra-high resolution intra-specific chickpea genetic linkage map (dwarf/semi-dwarf desi cv. ICC12299 x tall kabuli cv. ICC8261). The identified six major genomic regions harboring six robust QTLs (11.5–21.3 PVE), associated with plant height, were mapped within <0.5 cM average marker intervals on six chromosomes. Five SNPs-containing genes tightly linked to the five plant height QTLs, were validated based upon their high potential for target trait association (12.9–20.8 PVE) in 65 desi and kabuli chickpea accessions. The vegetative tissue-specific expression, including higher differential up-regulation (>5-fold) of five genes especially in shoot, young leaf, shoot apical meristem of tall mapping parental accession (ICC8261) as compared to that of dwarf/semi-dwarf parent (ICC12299) was apparent. Overall, combining high-resolution QTL mapping with genetic association analysis and differential expression profiling, delineated natural allelic variants in five candidate genes (encoding cytochrome-c-biosynthesis protein, malic oxidoreductase, NADH dehydrogenase iron-sulfur protein, expressed protein and bZIP transcription factor) regulating plant height in chickpea. These molecular tags have potential to dissect complex plant height trait and accelerate marker-assisted genetic enhancement for developing cultivars with desirable plant height ideotypes in chickpea. Nature Publishing Group 2016-06-20 /pmc/articles/PMC4913251/ /pubmed/27319304 http://dx.doi.org/10.1038/srep27968 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Kujur, Alice
Upadhyaya, Hari D.
Bajaj, Deepak
Gowda, C. L. L.
Sharma, Shivali
Tyagi, Akhilesh K.
Parida, Swarup K.
Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title_full Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title_fullStr Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title_full_unstemmed Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title_short Identification of candidate genes and natural allelic variants for QTLs governing plant height in chickpea
title_sort identification of candidate genes and natural allelic variants for qtls governing plant height in chickpea
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913251/
https://www.ncbi.nlm.nih.gov/pubmed/27319304
http://dx.doi.org/10.1038/srep27968
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