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Gut microbiota in non-celiac gluten sensitivity (NCGS) has been poorly studied for its involvement in the disorder and site specificity. We investigated small intestinal, large intestinal and stool microbiota profiles in patients with NCGS and highly overlapping disorder irritable bowel syndrome (IBS) as well as effect of gluten-free diet (GFD) on microbiota in patients with NCGS. True NCGS patients were recruited based on serological response for anti-gliadin antibodies, 6-week gluten free diet (GFD) and symptom recurrence with gluten-rechallenge. Analyses using 16S rRNA gene amplicon and shotgun sequencing revealed community differences in core microbiome and diversity measures across sample types indicating dysbiosis mainly in mucosa-associated small intestinal microbiome of NCGS patients. Genera Elusimicrobiaum, Succinivibrio, Bacillus and Alcaligenes appeared as signatures in small intestine and stool in NCGS patients. Presence of differential taxa co-occurring at sampling sites, enabled recognition of site-specific microbial signatures. GFD led to a shift in mucosa-associated small intestinal core microbiome. Metagenome analysis revealed subtle differences in pathways for amino acid biosynthesis including L-ornithine. Mucosa-associated small intestine microbial structure was quite distinct in patients with NCGS in comparison to that with IBS.

Sorghum hybrids demonstrated increased productivity and helped offset the decreasing cultivated areas, particularly in Asia. The diversity in cytoplasmic male sterility systems, stability of restorers and high yield of sorghum is an important factor for achieving food security and sustainability. In sorghum, hybrid production has been limited to A1 cytoplasmic source to date, primarily due to limited number of restorers on other cytoplasmic sources. This work aimed at filling this gap through diversifying and assessing the producibility and stability of cytoplasmic backgrounds across environments, evaluating the stability of restorers across cytoplasms and environments, and evaluating the performance of the hybrid F1 products under different water regimes across cropping seasons. The effects of genotypes and interactions between the genotypes and the tested environments were shown visually using GGE biplot, which also categorized the genotypes based on performance per se and stability. Analysis of variance revealed significant (P A1>A3 >A4. The A2 cytoplasm can therefore reliably offer seed producibility advantage to commercial seed producers. Furthermore, the which-won–where model for hybrid grain yield revealed specific adaptations of hybrid genotypes G143, G195 and G215 to first mega environment (E1 and E3), whereas G167, G110, and G112 were adapted to the second mega-environment (E2 and E4). With a GGE biplot goodness of fit of 70 % the best possible yield- and stability-based ranking of hybrid genotypes was G143, G215, G189, G200, G69, G162, G119, G54, and G81. The newly uncovered hybrid products should therefore be considered for downstream testing stages and candidates for release and commercial cultivation. Clearly, this work resulted in novel findings particularly in terms of seed producibility, universal restorers across the 4 cytoplasms and environments, and superior and stable hybrid products, all of which are expected to add value to conventional and heterosis breeding in the process of sorghum cultivar development.

Information on combining ability and standard heterosis are crucial for the success of any hybrid breeding program. The present study was conducted in sweet corn involving crossing of twenty inbreds as female lines and five inbreds as testers in line × tester mating fashion during kharif, 2019. Resulted 100 F1s were evaluated in rabi, 2019-2020 for twelve yields and its attributing traits. Analysis of variance for combining ability revealed the existence of wider variability in the material studied exhibiting significant differences due to lines, testers, hybrids and various interactions. Non-additive gene action was observed pre-dominant for all the traits. Inbreds SCGP-88, SCGP-111, SCGP-36-3- 1, SCGP-91, BSL-4, SCGP-44-2, VNR-SC-24, VNR-SC-23, SCGP-66-1 and SCGP-61-1-4 were identified as good general combiners. Crosses viz., SCGP-207-1 × SCGP-44-2, SCGP-54 × VNR-SC-29, SCGP-42 × SCGP-80, SCGP-82 × SCGP-80 and SCGP-66-1 × SCGP-44-2 were identified as promising hybrid combinations based on per se performance, sca effects and standard heterosis over the commercial checks.