@article {1228, title = {Transcriptome analysis reveals plasticity in gene regulation due to environmental cues in Primula sikkimensis, a high altitude plant species [Next Gen Genomics Facility (INT)].}, journal = {BMC Genomics}, volume = {20}, year = {2019}, month = {2019 Dec 17}, pages = {989}, abstract = {

BACKGROUND: Studying plasticity in gene expression in natural systems is crucial, for predicting and managing the effects of climate change on plant species. To understand the contribution of gene expression level variations to abiotic stress compensation in a Himalaya plant (Primula sikkimensis), we carried out a transplant experiment within (Ambient), and beyond (Below Ambient and Above Ambient) the altitudinal range limit of species. We sequenced nine transcriptomes (three each from each altitudinal range condition) using Illumina sequencing technology. We compared the fitness variation of transplants among three transplant conditions.

RESULTS: A large number of significantly differentially expressed genes (DEGs) between below ambient versus ambient (109) and above ambient versus ambient (85) were identified. Transcripts involved in plant growth and development were mostly up-regulated in below ambient conditions. Transcripts involved in signalling, defence, and membrane transport were mostly up-regulated in above ambient condition. Pathway analysis revealed that most of the genes involved in metabolic processes, secondary metabolism, and flavonoid biosynthesis were differentially expressed in below ambient conditions, whereas most of the genes involved in photosynthesis and plant hormone signalling were differentially expressed in above ambient conditions. In addition, we observed higher reproductive fitness in transplant individuals at below ambient condition compared to above ambient conditions; contrary to what we expect from the cold adaptive P. sikkimensis plants.

CONCLUSIONS: We reveal P. sikkimensis{\textquoteright}s capacity for rapid adaptation to climate change through transcriptome variation, which may facilitate the phenotypic plasticity observed in morphological and life history traits. The genes and pathways identified provide a genetic resource for understanding the temperature stress (both the hot and cold stress) tolerance mechanism of P. sikkimensis in their natural environment.

}, issn = {1471-2164}, doi = {10.1186/s12864-019-6354-1}, author = {Gurung, Priya Darshini and Upadhyay, Atul Kumar and Bhardwaj, Pardeep Kumar and Sowdhamini, Ramanathan and Ramakrishnan, Uma} } @article {8890, title = {Transcriptomic resources for the medicinal legume Mucuna pruriens: de novo transcriptome assembly, annotation, identification and validation of EST-SSR markers [Next Gen Genomics Facility]}, journal = {BMC Genomics}, volume = {18}, year = {2017}, month = {2017 May 25}, pages = {409}, abstract = {

BACKGROUND: The medicinal legume Mucuna pruriens (L.) DC. has attracted attention worldwide as a source of the anti-Parkinson{\textquoteright}s drug L-Dopa. It is also a popular green manure cover crop that offers many agronomic benefits including high protein content, nitrogen fixation and soil nutrients. The plant currently lacks genomic resources and there is limited knowledge on gene expression, metabolic pathways, and genetics of secondary metabolite production. Here, we present transcriptomic resources for M. pruriens, including a de novo transcriptome assembly and annotation, as well as differential transcript expression analyses between root, leaf, and pod tissues. We also develop microsatellite markers and analyze genetic diversity and population structure within a set of Indian germplasm accessions.

RESULTS: One-hundred ninety-one million two hundred thirty-three thousand two hundred forty-two\ bp cleaned reads were assembled into 67,561 transcripts with mean length of 626\ bp and N50 of 987\ bp. Assembled sequences were annotated using BLASTX against public databases with over 80\% of transcripts annotated. We identified 7,493 simple sequence repeat (SSR) motifs, including 787 polymorphic repeats between the parents of a mapping population. 134 SSRs from expressed sequenced tags (ESTs) were screened against 23 M. pruriens accessions from India, with 52 EST-SSRs retained after quality control. Population structure analysis using a Bayesian framework implemented in fastSTRUCTURE showed nearly similar groupings as with distance-based (neighbor-joining) and principal component analyses, with most of the accessions clustering per geographical origins. Pair-wise comparison of transcript expression in leaves, roots and pods identified 4,387 differentially expressed transcripts with the highest number occurring between roots and leaves. Differentially expressed transcripts were enriched with transcription factors and transcripts annotated as belonging to secondary metabolite pathways.

CONCLUSIONS: The M. pruriens transcriptomic resources generated in this study provide foundational resources for gene discovery and development of molecular markers. Polymorphic SSRs identified can be used for genetic diversity, marker-trait analyses, and development of functional markers for crop improvement. The results of differential expression studies can be used to investigate genes involved in L-Dopa synthesis and other key metabolic pathways in M. pruriens.

}, keywords = {Data Mining, Expressed Sequence Tags, Gene Expression Profiling, Microsatellite Repeats, Molecular Sequence Annotation, Mucuna, Polymorphism, Genetic, RNA, Messenger, Transcription Factors}, issn = {1471-2164}, doi = {10.1186/s12864-017-3780-9}, author = {Sathyanarayana, N and Pittala, Ranjith Kumar and Tripathi, Pankaj Kumar and Chopra, Ratan and Singh, Heikham Russiachand and Belamkar, Vikas and Bhardwaj, Pardeep Kumar and Doyle, Jeff J and Egan, Ashley N} }