Project description:The species-specific identification of fibre origin is essential in archaeology but reveals challenging for closely related species. This is particularly true between the four South American Camelids (SAC) species: alpaca, guanaco, llama and vicuña. The analysis of proteins extracted from hairs and/or yarns by proteomics has emerged as a powerful method to differentiate between species. However, for SAC, the database information available is very poor, which limits this approach. In this study, we analysed 42 modern and 4 archaeological reference samples from the four SAC species.
Project description:South American camelids (SACs) play an important role in Andean economies, but reproductive inefficiencies, especially early embryonic losses, present significant challenges to herd productivity. This study provides the first proteomic analysis of preimplantation alpaca embryos, offering insights into the molecular mechanisms underlying embryo development and implantation. Using mass spectrometry, we identified 510 proteins in 15-day post-mating (dpm) alpaca embryos. Functional enrichment analysis revealed significant pathways related to cytoskeletal organization, metabolism, embryo elongation, and implantation. Key proteins associated with conceptus elongation, maternal recognition of pregnancy, and steroidogenesis were detected, including keratins (KRT8, KRT18), actin (ACTG1), annexin A2 (ANXA2), and enzymes involved in estradiol and cortisol biosynthesis. Additionally, proteins involved in prostaglandin synthesis, including PTGS2, were identified, supporting their role in conceptus elongation and implantation. This pioneering study provides a foundational dataset for understanding alpaca embryo development at the proteomic level, opening new paths for improving reproductive technologies in SACs. The findings highlight the molecular processes driving alpaca embryogenesis and provide a basis for future research on optimizing assisted reproductive technologies in camelids.
Project description:Leaf colour variation is observed in several plants. We obtained two types of branches with yellow (H1) and variegated (H2) leaves from Camellia sinensis. To reveal the mechanisms that underlie the leaf colour variations, proteomic analysis using label-free MS-based approach was performed using leaves from variants and normal branches (CKs).
Project description:A gene expression profiling study on two major cotton species that are cultivated for fibre, Gossypium hirsutum (L.) and Gossypium barbadense (L.), at different stages during fibre development using a printed cDNA microarray was undertaken to identify potential candidate genes for manipulation to improve fibre quality. Keywords: Species comparison, development
Project description:Comparative analysis of transcriptome profiles of G. arboreum L. cv. and its fuzzy-lintless mutant (ANOI 1960) at 0 and 10 dpa. Cotton is one of the most commercially important fibre crops in the world and used as a source for natural textile fibre and cottonseed oil. The fuzzy-lintless ovules of cotton mutants are ideal source for identifying genes involved in fibre development by comparing with fibre bearing ovules of wild-type. To decipher molecular mechanisms involved in fibre cell development, transcriptome analysis has been carried out by comparing G. arboreum cv. (wild-type) with its fuzzy-lintless mutant (ANOI 1960). Fuzzed-lintless mutant line was generated by back cross breeding between FL and Fl (recurrent parent) lines (personal communication by Dr. I. S. Katageri). Basically Fibre less type was a RIL, first recovered from cross between G.arboreum (linted) and G. anomalum (lint less). This RIL was used as donor parent and crossed with normal arboreum (as recurrent parent) to develop G. arboreum FL and G. arboreum Fl isogenic lines. This G. arboreum Fl line is named as ANOI 1960. Cotton bolls were collected at fibre initiation (0 dpa/days post anthesis) and elongation (10 dpa) and gene expression profiles were analyzed in wild-type and ANOI 1960 mutant using Affymetrix cotton GeneChip Genome array.