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Shanmugam, A.

Publications and source records attributed to Shanmugam, A..

3 recordsLinked to original sources

A genetic perspective on the recent demographic history of Ireland and Britain

BackgroundWhile subtle yet discrete clusters of genetic identity across Ireland and Britain have been identified, their demographic history is unclear. MethodsUsing genotype data from 6,574 individuals with associated regional Irish or British ancestry, we identified Irish-like and British-like genetic communities using network community detection. We segregated Identity-by-Descent (IBD) and Runs-of-Homozygosity (ROH) segments by length and approximated their corresponding time periods. Through this, we inferred the regional Irish and British demographic histories in these time periods by (1) estimating genetic relatedness between communities, (2) estimating changes in effective population sizes, (3) inferring recent migration rates across Ireland and Britain, and (4) estimating changing affinities to regional European populations. For a subset of the Irish communities, we determined the enrichment/depletion of surnames within the genetic communities. ResultsThrough patterns of IBD-sharing and ROH, we find evidence of recent population bottlenecks in the Orcadian, Manx and Welsh communities. While the structure in Ireland is subtler, the communities share relatively more IBD segments that are shorter in length, and the genetic differences between the Irish communities are more subtle on average, when compared to the British communities. Regional effective population size trajectories indicate a similar demographic history throughout the island of Ireland. Further, we observe a stable migration corridor between north-east Ireland and south-west Scotland while there is a recent migration barrier between South-Eastern Ireland and Western Ireland. We observed an enrichment of Anglo-Norman and English surnames in the Wexford community while within the West Ulster-Argyll community, we saw an enrichment of Gallowglass and Scottish surnames. ConclusionsUsing well-annotated Irish and British reference genotypes, we observed temporal changes in genetic affinities within and between genetic communities in Ireland and Britain. In addition, using effective population size estimates and levels of haplotype-sharing, we detected varying degrees of genetic isolation in some Irish and British genetic communities across time. Using these new insights into the regional demographic history of Ireland and Britain across different time periods, we hope to understand the driving forces of rare allele frequencies and disease risk association within these populations.

genetics↗

Development of non-destructive methods to estimate functional traits and field evaluation in tea plantations using a smartphone

Smartphones are equipped with various types of sensors which make them a promising tool to assist diverse digital farming tasks because of their mobility, cost, accessibility, and computing power allow us to perform real-time practical applications. This paper presents the utilization of various non-destructive methods of nutrient and disease classification techniques using smartphone collected images, processed through various image segmentation algorithms. Both in vivo and in vitro estimations shows comparable results with both chlorophyll and nitrogen contents of a crop shoot. Moreover, the correlation between SPAD measured values and nitrogen of crop shoot showed a significant linear association (R2 =0.7309), revealing the potency of in vivo observation for prediction of actual chlorophyll content in tea crop. SPAD values and yield have a strong linear relationship (R2 =0.7103), in which SPAD-meter performed better detection at very low values. The study concluded that the proposed techniques could be used for automatic detection as well as classification of foliar diseases and nutrients in tea.

plant biology↗

Gene expression profiling of Tea (Camellia sinensis L.) in response to biotic stress using microarrays

The blister blight (BB) and grey blight (GB) diseases are the major biotic stresses, which affecting the plant health, yield and quality of tea. The study aims to understand the gene response of tea plants against destructing foliar diseases in terms of differential gene expression and their pathways through microarray analysis aid by MapMan(R) software. The results of expression profile analysis showed that 235 in BB and 258 for GB genes were differentially expressed (at P<0.05) which involving in gene regulatory function as biotic stress response. Similarly, 76 and 86 differentially expressed genes involving in cellular response during BB and GB diseases, respectively. However, 28 in BB and 9 in GB differentially expressed (P<0.01) genes were putatively involved in biotic stress response. The study also identified differentially expressed 75 transcription factors (TFs) belongs to 23 TFs superfamily act as either transcriptional activators or repressors. The study helps to understand the differential gene expression pattern and its cellular, molecular and biological mechanisms of tea plants of two different diseases based on microarray analysis. Further studies using biotechnological tools on the stress-responsive genes in the germplasm may enable us for development of disease resistance.

plant biology↗