Construction of a Genetic Linkage Map and Identification of QTLs for Seed Weight and Seed Size Traits in Lentil (Lens culinaris Medik.)

Seed weight and seed size both are quantitative traits and have been considered as important components of grain yield, thus identification of quantitative trait loci (QTL) for seed traits in lentil (Lens culinaris) would be beneficial for the improvement of grain yield. Hence the main objective of this study was to identify QTLs for seed traits using an intraspecific mapping population derived from a cross between L. culinaris cv. Precoz (seed weight-5.1g, seed size-5.7mm) and L. culinaris cv. L830 (seed weight-2.2g, seed size-4mm) comprising 126 F₈-RILs. For this, two microsatellite genomic libraries enriched for (GA/CT) and (GAA/CTT) motif were constructed which resulted in the development of 501 new genomic SSR markers. Six hundred forty seven SSR markers (including 146 previously published) were screened for parental polymorphism and 219 (33.8%) were found to be polymorphic among the parents. Of these 216 were mapped on seven linkage groups at LOD4.0 spanning 1183.7cM with an average marker density of 5.48cM. Phenotypic data from the RILs was used to identify QTLs for the seed weight and seed size traits by single marker analysis (SMA) followed by composite interval mapping (CIM) which resulted in one QTL each for the 2 traits (qSW and qSS) that were co-localized on LG4 and explained 48.4% and 27.5% of phenotypic variance respectively. The current study would serve as a strong foundation for further validation and fine mapping for utilization in lentil breeding programs.     

Expanding the repertoire of microsatellite markers for polymorphism studies in Indian accessions of mung bean (Vigna radiata L. Wilczek)

Limited availability of validated, polymorphic microsatellite markers in mung bean (Vigna radiata), an important food legume of India, has been a major hurdle towards its improvement and higher yield. The present study was undertaken in order to develop a new set of microsatellite markers and utilize them for the analysis of genetic diversity within mung bean accessions from India. A GA/CT enriched library was constructed from V. radiata which resulted in 1,250 putative recombinant clones of which 850 were sequenced. SSR motifs were identified and their flanking sequences were utilized to design 328 SSR primer pairs. Of these, 48 SSR markers were employed for assessing genetic diversity among 76 mung bean accessions from various geographical locations in India. Two hundred and thirty four alleles with an average of 4.85 alleles per locus were detected at 48 loci. The polymorphic information content (PIC) per locus varied from 0.1 to 0.88 (average: 0.49 per locus). The observed and expected heterozygosities ranged from 0.40 to 0.95 and 0.40 to 0.81 respectively. Based on Jaccard’s similarity matrix, a dendrogram was constructed using the unweighted pair-group method with arithmetic averages (UPGMA) analysis which revealed that one accession from Bundi, Rajasthan was clustered out separately while remaining accessions were grouped into two major clusters. The markers generated in this study will help in expanding the repertoire of the available SSR markers thereby facilitating analysis of genetic diversity, molecular mapping and ultimately broadening the scope for genetic improvement of this legume.     

Distance-based analysis of variance for brain connectivity

The field of neuroimaging dedicated to mapping connections in the brain is increasingly being recognized as key for understanding neurodevelopment and pathology. Networks of these connections are quantitatively represented using complex structures, including matrices, functions, and graphs, which require specialized statistical techniques for estimation and inference about developmental and disorder-related changes. Unfortunately, classical statistical testing procedures are not well suited to high-dimensional testing problems. In the context of global or regional tests for differences in neuroimaging data, traditional analysis of variance (ANOVA) is not directly applicable without first summarizing the data into univariate or low-dimensional features, a process that might mask the salient features of high-dimensional distributions. In this work, we consider a general framework for two-sample testing of complex structures by studying generalized within-group and between-group variances based on distances between complex and potentially high-dimensional observations. We derive an asymptotic approximation to the null distribution of the ANOVA test statistic, and conduct simulation studies with scalar and graph outcomes to study finite sample properties of the test. Finally, we apply our test to our motivating study of structural connectivity in autism spectrum disorder.     

Origin of human chromosome 2 revisited

Similarities in chromosome banding patterns and hornologies in DNA sequence between chromosomes of the great apes and humans have suggested that human chromosome 2 originated through the fusion of two ancestral ape chromosomes. A lot of work has been directed at understanding the nature and mechanism of this fusion. The recent availability of the human chrornosome-2-specific alpha satellite DNA probe D2Z and the human chromosome-2p-specific subtelomeric DNA probe D2S445 prompted us to attempt cross-hybridization with chromosomes of the chimpanzee (Pan troglodytes), gorilla (Gorilla gorilla) and orangutan (Pongo pygmaeus) to search for equivalent locations in the great apes and to comment on the origin of human chromosome 2. The probes gave different results. No hybridization to the chromosome-2-specific alpha satellite DNA probe was observed on the presumed homologous great ape chromosomes using both high-stringency and low-stringency post-hybridization washes, whereas the subtelomeric-DNA probe specific for chromosome 2p hybridized to telomeric sites of the short arm of chromosome 12 of all three great apes. These observations suggest an evolutionary difference in the number of alpha satellite DNA repeat units in the equivalent ape chromosomes presumably involved in the chromosome fusion. Nevertheless, complete conservation of DNA sequence of the subtelomeric repeat sequence D2S445 in the ape chromosomes is demonstrated.     

The relationship between anthropometric indexes of adiposity and vascular function in the FATE cohort

Objective:

Numerous indexes of adiposity have been proposed and are currently in use in clinical practice and research. However, the correlation of these indexes with measures of vascular health remain poorly defined. This study investigated which measure of adiposity is most strongly associated with endothelial function.

Design and Methods:

Data from the Firefighters And Their Endothelium (FATE) study was used. The relationships between three measures of vascular function: flow‐mediated dilation (FMD), hyperemic velocity time integral (VTI), and hyperemic shear stress (HSS), and five measures of adiposity: BMI, waist circumference (WC), waist‐to‐hip ratio (WHR), waist‐to‐height ratio (WHtR), and body adiposity index (BAI) were tested. Univariate comparisons were made, and subsequently models adjusted for traditional risk factors were constructed.

Results:

A total of 1,462 male firefighters (mean age 49 ± 9) without cardiovascular disease comprised the study population. No measure of adiposity correlated with FMD; all five measures of adiposity were negatively correlated with VTI and HSS (P values <0.0001), with WHtR most strongly correlated with VTI, and WC most strongly correlated with HSS (both P < 0.05). In models including all five measures of obesity simultaneously, BMI, WC, and WHtR were all predictive of HSS (all P values <0.05), and BMI and WHR were both predictive of VTI (P values <0.05).

Conclusions:

Anthropometric measures of adiposity may help refine estimations of atherosclerotic burden. BMI was most consistently associated with endothelial dysfunction, but measures of adiposity that reflect distribution of mass were additive.