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Sukumaran, S.

Publications and source records attributed to Sukumaran, S..

2 recordsLinked to original sources

Sweet taste receptor cells may participate in mucosal immune surveillance

The oral microbiome is second only to its intestinal counterpart in diversity and abundance, but its effects on taste cells remains largely unexplored. Using single cell RNASeq, we found that mouse taste receptor cells (STRCs) have a gene expression signature reminiscent of Microfold (M) cells, a central player in immune surveillance in the mucosa associated lymphoid tissue (MALT) such as those in the Peyers patch and tonsils. Administration of Tumor Necrosis Factor Ligand Superfamily Member 11 (TNFSF11, also known as RANKL), a growth factor required for differentiation of M cells dramatically increased M cell proliferation and marker gene expression in the taste papillae and in cultured taste organoids from wild type (WT) mice. Taste papillae and organoids from knockout mice lacking Spib (SpibKO), a RANKL-regulated transcription factor required for M cell development and regeneration on the other hand, failed to respond to RANKL. Taste papillae from SpibKO mice also showed reduced expression of NF-{kappa}B signaling pathway components and proinflammatory cytokines and attracted fewer immune cells. However, lipopolysaccharide-induced expression of cytokines was strongly upregulated in SpibKO mice compared to their WT counterparts. Like M cells, STRCs from WT but not SpibKO mice readily took up fluorescently labeled microbeads, a proxy for microbial transcytosis. The proportion of STRCs and other taste cell subtypes are unaltered in SpibKO mice; however, they displayed increased attraction to sweet and umami taste stimuli. We propose that STRCs are involved in immune surveillance at the taste papillae and tune their taste responses to microbial signaling and infection.

neuroscience↗

Genotypic differences in wheat yield determinants within a NAM population based on elite parents

Future grain yield (GY) improvements require the identification of beneficial traits within the context of high yield potential and not just based on the pleiotropic effect of traits such as crop height and heading date. We evaluated 1937 lines from Nested Association Mapping (NAM) population derived from 13 bi-parental varietal crosses under field conditions. We selected 493 lines with similar time to anthesis to that of the two checks used in the study (across and within each family) which reduced the range of plant height in the selected lines. Yield components were measured in these 493 lines from which 231 lines were selected by excluding lines with lowest number of grains so excluded low yielding lines. Later the subset of 231 lines were evaluated in two field experiments (2016-17, CS1 and 2017-18, CS2). Numerical and physiological components of grain yield were measured. The two-step selection maximised GY within an acceptable range of variation for height and anthesis. GY in 231 lines showed very high GxE interaction. Taking both seasons together, we selected lines from upper and lower quartile GY groups to identify stable beneficial trait combinations for improved GY. Differences in GY were explained by grain number driven by increased spike dry weight at anthesis (SDWa) and fruiting efficiency (FE). Increased GY was accompanied by sink limitation. The data points towards increases in grain number as the route towards future GY increases in wheat breeding.

physiology↗