Indian Agricultural Statistics Research Institute

About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.

Insights on genomic diversity of Vibrio spp. through Pan-genome analysis

Abstract: The aquaculture sector is a major contributor to the economic and nutritional security for a number of countries. India’s total seafood exports for the year 2017–2018 accounted for US$ Million 7082. One of the major setbacks in this sector is the frequent outbreaks of diseases often due to bacterial pathogens. Vibriosis is one of the major diseases caused by bacteria of Vibrio spp., causing significant economic loss to the aquaculture sector. The objective of this study was to understand the genetic composition of Vibrio spp. Thirty-five complete genomes were downloaded from GenBank comprising seven vibrio species, namely, Vibrio alginolyticus, V. anguillarum, V. campbellii, V. harveyi, V. furnissii, V. parahaemolyticus, and V. vulnificus. Pan-genome analysis was carried out with coding sequences (CDS) generated from all the Vibrio genomes. In addition, genomes were mined for genes coding for toxin-antitoxin systems, antibiotic resistance, genomic islands, and virulence factors. Results revealed an open pan-genome comprising of 2004 core, 8249 accessory, and 6780 unique genes. Downstream analysis of genomes and the identified unique genes resulted in 312 antibiotic resistance genes, 430 genes coding for toxin and antitoxin systems along with 4802, and 4825 putative virulent genes from genomic island regions and unique gene sets, respectively. Pan-genome and other downstream analytical procedures followed in this study have the potential to predict strain-specific genes and their association with habitat and pathogenicity.

Revelation of candidate genes and molecular mechanism of reproductive seasonality in female rohu (Labeo rohita Ham.) by RNA sequencing.

Abstract: BACKGROUND Carp fish, rohu (Labeo rohita Ham.) is important freshwater aquaculture species of South-East Asia having seasonal reproductive rhythm. There is no holistic study at transcriptome level revealing key candidate genes involved in such circannual rhythm regulated by biological clock genes (BCGs). Seasonality manifestation has two contrasting phases of reproduction, i.e., post-spawning resting and initiation of gonadal activity appropriate for revealing the associated candidate genes. It can be deciphered by RNA sequencing of tissues involved in BPGL (Brain-Pituitary-Gonad-Liver) axis controlling seasonality. How far such BCGs of this fish are evolutionarily conserved across different phyla is unknown. Such study can be of further use to enhance fish productivity as seasonality restricts seed production beyond monsoon season. RESULT A total of ~ 150 Gb of transcriptomic data of four tissues viz., BPGL were generated using Illumina TruSeq. De-novo assembled BPGL tissues revealed 75,554 differentially expressed transcripts, 115,534 SSRs, 65,584 SNPs, 514 pathways, 5379 transcription factors, 187 mature miRNA which regulates candidate genes represented by 1576 differentially expressed transcripts are available in the form of web-genomic resources. Findings were validated by qPCR. This is the first report in carp fish having 32 BCGs, found widely conserved in fish, amphibian, reptile, birds, prototheria, marsupials and placental mammals. This is due to universal mechanism of rhythmicity in response to environment and earth rotation having adaptive and reproductive significance. CONCLUSION This study elucidates evolutionary conserved mechanism of photo-periodism sensing, neuroendocrine secretion, metabolism and yolk synthesis in liver, gonadal maturation, muscular growth with sensory and auditory perception in this fish. Study reveals fish as a good model for research on biological clock besides its relevance in reproductive efficiency enhancement.

Variance Balanced Row-Column Designs Involving Diallel Crosses Incorporating Specific Combining Abilities for Comparing Test Lines with a Control Line

Abstract: In this paper, the problem of comparing t test lines with a control line under a row-column set up in complete diallel cross experiment is investigated when sca effect is included in the model. Three classes of Mating-Environmental Row-Column (MERC) designs have been obtained which are variance balanced for estimating the contrasts pertaining to gca effects free from sca effects.

Litter production and litter dynamics in different agroforestry systems in the arid western region of India

Abstract: Litterfall production, decomposition and nutrient release was investigated for three prominent agroforestry tree species, Prosopis cineraria, Tecomella undulata and Hardwickia binata, grown in the ...

A diagnostic tool for detecting outliers in experimental data

Abstract: Cook-statistic has been developed for identifying outliers in experimental data. A general formula has been obtained for detection of any k outliers. A particular case of a single outlier has also been considered. The derived statistic has been applied to real experimental data. Upon deletion of the identified outlying observation, it has been observed that the conclusion to be drawn from the experiment is reversed.