Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced genetic gains. Issue 8 (15th February 2019)
- Record Type:
- Journal Article
- Title:
- Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced genetic gains. Issue 8 (15th February 2019)
- Main Title:
- Haplotype analysis of key genes governing grain yield and quality traits across 3K RG panel reveals scope for the development of tailor‐made rice with enhanced genetic gains
- Authors:
- Abbai, Ragavendran
Singh, Vikas Kumar
Nachimuthu, Vishnu Varthini
Sinha, Pallavi
Selvaraj, Ramchander
Vipparla, Abhilash Kumar
Singh, Arun Kumar
Singh, Uma Maheshwar
Varshney, Rajeev K.
Kumar, Arvind - Abstract:
- Summary: Though several genes governing various major traits have been reported in rice, their superior haplotype combinations for developing ideal variety remains elusive. In this study, haplotype analysis of 120 previously functionally characterized genes, influencing grain yield (87 genes) and grain quality (33 genes) revealed significant variations in the 3K rice genome (RG) panel. For selected genes, meta‐expression analysis using already available datasets along with co‐expression network provided insights at systems level. Also, we conducted candidate gene based association study for the 120 genes and identified 21 strongly associated genes governing 10‐grain yield and quality traits. We report superior haplotypes upon phenotyping the subset of 3K RG panel, SD1 ‐H8 with haplotype frequency (HF) of 30.13% in 3K RG panel, MOC1 ‐H9 (HF: 23.08%), IPA1 ‐H14 (HF: 6.64%), DEP3 ‐H2 (HF: 5.59%), DEP1 ‐H2 (HF: 37.53%), SP1 ‐H3 (HF: 5.05%), LAX1 ‐H5 (HF: 1.56%), LP ‐H13 (3.64%), OSH1 ‐H4 (5.52%), PHD1 ‐H14 (HF: 15.21%), AGO7 ‐H15 (HF: 3.33%), ROC5 ‐H2 (31.42%), RSR1 ‐H8 (HF: 4.20%) and OsNAS3 ‐H2 (HF: 1.00%). For heading date, Ghd7 ‐H8 (HF: 3.08%), TOB1 ‐H10 (HF: 4.60%) flowered early, Ghd7 ‐H14 (HF: 42.60%), TRX1 ‐H9 (HF: 27.97%), OsVIL3 ‐H14 (HF: 1.72%) for medium duration flowering, while Ghd7 ‐H6 (HF: 1.65%), SNB ‐H9 (HF: 9.35%) were late flowering. GS5 ‐H4 (HF: 65.84%) attributed slender, GS5 ‐H5 (HF: 29.00%), GW2 ‐H2 (HF: 4.13%) were medium slender and GS5 ‐H9 (HF: 2.15%)Summary: Though several genes governing various major traits have been reported in rice, their superior haplotype combinations for developing ideal variety remains elusive. In this study, haplotype analysis of 120 previously functionally characterized genes, influencing grain yield (87 genes) and grain quality (33 genes) revealed significant variations in the 3K rice genome (RG) panel. For selected genes, meta‐expression analysis using already available datasets along with co‐expression network provided insights at systems level. Also, we conducted candidate gene based association study for the 120 genes and identified 21 strongly associated genes governing 10‐grain yield and quality traits. We report superior haplotypes upon phenotyping the subset of 3K RG panel, SD1 ‐H8 with haplotype frequency (HF) of 30.13% in 3K RG panel, MOC1 ‐H9 (HF: 23.08%), IPA1 ‐H14 (HF: 6.64%), DEP3 ‐H2 (HF: 5.59%), DEP1 ‐H2 (HF: 37.53%), SP1 ‐H3 (HF: 5.05%), LAX1 ‐H5 (HF: 1.56%), LP ‐H13 (3.64%), OSH1 ‐H4 (5.52%), PHD1 ‐H14 (HF: 15.21%), AGO7 ‐H15 (HF: 3.33%), ROC5 ‐H2 (31.42%), RSR1 ‐H8 (HF: 4.20%) and OsNAS3 ‐H2 (HF: 1.00%). For heading date, Ghd7 ‐H8 (HF: 3.08%), TOB1 ‐H10 (HF: 4.60%) flowered early, Ghd7 ‐H14 (HF: 42.60%), TRX1 ‐H9 (HF: 27.97%), OsVIL3 ‐H14 (HF: 1.72%) for medium duration flowering, while Ghd7 ‐H6 (HF: 1.65%), SNB ‐H9 (HF: 9.35%) were late flowering. GS5 ‐H4 (HF: 65.84%) attributed slender, GS5 ‐H5 (HF: 29.00%), GW2 ‐H2 (HF: 4.13%) were medium slender and GS5 ‐H9 (HF: 2.15%) for bold grains. Furthermore, haplotype analysis explained possible genetic basis for superiority of selected mega‐varieties. Overall, this study suggests the possibility for developing next‐generation tailor‐made rice with superior haplotype combinations of target genes suiting future food and nutritional demands via haplotype‐based breeding . … (more)
- Is Part Of:
- Plant biotechnology journal. Volume 17:Issue 8(2019)
- Journal:
- Plant biotechnology journal
- Issue:
- Volume 17:Issue 8(2019)
- Issue Display:
- Volume 17, Issue 8 (2019)
- Year:
- 2019
- Volume:
- 17
- Issue:
- 8
- Issue Sort Value:
- 2019-0017-0008-0000
- Page Start:
- 1612
- Page End:
- 1622
- Publication Date:
- 2019-02-15
- Subjects:
- 3K RG panel -- cloned genes -- haplotype mining -- haplotype‐based breeding
Plant biotechnology -- Periodicals
Plant genetic engineering -- Periodicals
630.272 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-7652 ↗
http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=pbi ↗
http://www.blackwellpublishing.com/journal.asp?ref=1467-7644 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/pbi.13087 ↗
- Languages:
- English
- ISSNs:
- 1467-7644
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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