| Title |
Characterization and mapping of Dt1 locus which co-segregates with CcTFL1 for growth habit in pigeonpea
|
|---|---|
| Published in |
Theoretical and Applied Genetics, May 2017
|
| DOI | 10.1007/s00122-017-2924-2 |
| Pubmed ID | |
| Authors |
Rachit K. Saxena, Jimmy Obala, Andrey Sinjushin, C.V. Sameer Kumar, K.B. Saxena, Rajeev K. Varshney |
| Abstract |
We report growth habit profiling following SEM, genetic mapping and QTL analysis. Highlighted CcTFL1 , a candidate for determinacy in pigeonpea, since an Indel marker derived from this gene co-segregated with Dt1 locus. Pigeonpea (Cajanus cajan) is one of the most important legume crops grown in arid and semi-arid regions of the world. It is characterized with few unique features compared with other legume species, such as Lotus, Medicago, and Glycine. One of them is growth habit, an important agronomic trait. In the present study, identification of mutations affecting growth habit accompanied by a precise analysis of phenotype has been done which will shed more light upon developmental regulation in pigeonpea. A genetic study was conducted to examine the inheritance of growth habit and a genotyping by sequencing (GBS)-based genetic map constructed using F2 mapping population derived from crossing parents ICP 5529 and ICP 11605. Inheritance studies clearly demonstrated the dominance of indeterminate (IDT) growth habit over determinate (DT) growth habit in F2 and F2:3 progenies. A total of 787 SNP markers were mapped in the genetic map of 1454 cM map length. Growth habit locus (Dt1) was mapped on the CcLG03 contributing more than 61% of total phenotypic variations. Subsequently, QTL analysis highlighted one gene, CcTFL1, as a candidate for determinacy in pigeonpea, since an Indel marker derived from this gene co-segregated with the Dt1 locus. Ability of this Indel-derived marker to differentiate DT/IDT lines was also validated on 262 pigeonpea lines. This study clearly demonstrated that CcTFL1 is a candidate gene for growth habit in pigeonpea and a user-friendly marker was developed in the present study which will allow low-cost genotyping without need of automation. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 36% |
| Student > Master | 4 | 14% |
| Researcher | 4 | 14% |
| Other | 2 | 7% |
| Professor | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 61% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Unspecified | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Energy | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2017.
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#7,787,562
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Outputs from Theoretical and Applied Genetics
#1,355
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#120,025
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Outputs of similar age from Theoretical and Applied Genetics
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