Effect of forage to concentrate ratio on growth performance and feeding behavior of Thalli lambs.

The objective of the study was to evaluate the effect of forage to concentrate ratio (F:C) on growth performance and feeding behavior of Thalli lambs. For this purpose, twenty-one male Thalli lambs with initial live body weight (26.30 ± 3.02 kg) were selected and divided into three experimental groups in a randomized complete block design. The experimental duration was 12 weeks. The experimental diets were F:C (100:0), F:C (80:20), and F:C (60:40). Alfalfa hay was used as forage source. Lambs fed F:C (60:40) and F:C (80:20) diets showed higher dry matter intake (DMI), total dry matter intake (TDMI), organic matter intake (OMI), weight gain, growth rate, better feed conversion ratio, and feed efficiency as compared to the lambs fed F:C (100:0) (P < 0.05). The results also showed that crude protein (CP), ether extract (EE), and total digestible nutrient (TDN) intake were maximum in F:C (60:40)-fed lambs (P < 0.05). However, higher crude fiber (CF), neutral detergent fiber (NDF), and acid detergent fiber (ADF) intakes were seen in the F:C (100:0)-fed lambs (P < 0.05). The results of nutrient digestibilities revealed the improved OM, DM, CP, and ADF digestibilities in lambs fed with F:C (60:40) and F:C (80:20) (P < 0.05). The digestibility of NDF and CF were not affected by the all-dietary treatments (P > 0.05). Behavior results explored that eating time, and chewing time was higher in F:C (100:0)-fed lambs (P < 0.05), while standing time, lying time, and abnormal behavior were increased in lambs fed with F:C (60:40) and F:C (80:20) (P < 0.05). Based on the results, it is concluded that the addition of concentrate at 20% and 40% improves growth performance and increases DMI, TDMI, OMI, and nutrient digestibility. However, standing time, lying time, and abnormal behavior increase by feeding of the 20% and 40% concentrate. Therefore, it is suggested that the concentrate should be supplied in restricted amounts to improve lambs' welfare and normal behavior without influencing their performance.

SeqCompress: an algorithm for biological sequence compression.

The growth of Next Generation Sequencing technologies presents significant research challenges, specifically to design bioinformatics tools that handle massive amount of data efficiently. Biological sequence data storage cost has become a noticeable proportion of total cost in the generation and analysis. Particularly increase in DNA sequencing rate is significantly outstripping the rate of increase in disk storage capacity, which may go beyond the limit of storage capacity. It is essential to develop algorithms that handle large data sets via better memory management. This article presents a DNA sequence compression algorithm SeqCompress that copes with the space complexity of biological sequences. The algorithm is based on lossless data compression and uses statistical model as well as arithmetic coding to compress DNA sequences. The proposed algorithm is compared with recent specialized compression tools for biological sequences. Experimental results show that proposed algorithm has better compression gain as compared to other existing algorithms.

Evaluation of novel design strategies for developing zinc finger nucleases tools for treating human diseases.

Zinc finger nucleases (ZFNs) are associated with cell death and apoptosis by binding at countless undesired locations. This cytotoxicity is associated with the binding ability of engineered zinc finger domains to bind dissimilar DNA sequences with high affinity. In general, binding preferences of transcription factors are associated with significant degenerated diversity and complexity which convolutes the design and engineering of precise DNA binding domains. Evolutionary success of natural zinc finger proteins, however, evinces that nature created specific evolutionary traits and strategies, such as modularity and rank-specific recognition to cope with binding complexity that are critical for creating clinical viable tools to precisely modify the human genome. Our findings indicate preservation of general modularity and significant alteration of the rank-specific binding preferences of the three-finger binding domain of transcription factor SP1 when exchanging amino acids in the 2nd finger.

Strategy for naturelike designer transcription factors with reduced toxicity.

For clinical applications, the biological functions of DNA-binding proteins require that they interact with their target binding site with high affinity and specificity. Advances in randomized production and target-oriented selection of engineered artificial DNA-binding domains incited a rapidly expanding field of designer transcription factors (TFs). Engineered transcription factors are used in zinc-finger nuclease (ZFN) technology that allows targeted genome editing. Zinc-finger-binding domains fabricated by modular assembly display an unexpectedly high failure rate having either a lack of activity as ZFNs in human cells or activity at "off-target” binding sites on the human genome causing cell death. To address these shortcomings, we created new binding domains using a targeted modification strategy. We produced two SP1 mutants by exchanging amino acid residues in the alpha-helical region of the transcription factor SP1. We identified their best target binding sites and searched the NCBI HuRef genome for matches of the nine-base-pair consensus binding site of SP1 and the best binding sites of its mutants. Our research concludes that we can alter the binding preference of existing zinc-finger domains without altering its biological functionalities.