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Mendeley readers
| Title |
EcoTILLING by sequencing reveals polymorphisms in genes encoding starch synthases that are associated with low glycemic response in rice
|
|---|---|
| Published in |
BMC Plant Biology, January 2017
|
| DOI | 10.1186/s12870-016-0968-0 |
| Pubmed ID | |
| Authors |
Ramadoss Bharathi Raja, Somanath Agasimani, Sarita Jaiswal, Venkatesan Thiruvengadam, Robin Sabariappan, Ravindra N. Chibbar, Sundaram Ganesh Ram |
| Abstract |
Glycemic response, a trait that is tedious to be assayed in cereal staples, has been identified as a factor correlated with alarmingly increasing prevalence of Type II diabetes. Reverse genetics based discovery of allelic variants associated with this nutritional trait gains significance as they can provide scope for genetic improvement of this factor which is otherwise difficult to target through routine screening methods. Through EcoTILLING by sequencing in 512 rice accessions, we report the discovery of six deleterious variants in the genes with potential to increase Resistant Starch (RS) and reduce Hydrolysis Index (HI) of starch. By deconvolution of the variant harbouring EcoTILLING DNA pools, we discovered accessions with a minimum of one to a maximum of three deleterious allelic variants in the candidate genes. Through biochemical assays, we confirmed the potential role of the discovered alleles alone or in combinations in increasing RS the key factor for reduction in glycemic response. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 42% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Medicine and Dentistry | 3 | 5% |
| Unspecified | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 15 | 25% |