Dataset Information

Phenotyping and cell wall polysaccharide composition dataset of five arabidopsis ecotypes grown at optimal or sub-optimal temperatures.

ABSTRACT: This article presents experimental data describing the morphology and the cell wall monosaccharide content of rosettes and flower stems of five Arabidopsis thaliana ecotypes grown at two contrasted temperatures. Besides, cell wall polysaccharides are reconstructed from data of monosaccharide quantification. The well-described and sequenced Columbia (Col) ecotype and four newly-described Pyrenees ecotypes (Duruflé et al., 2019) have been grown at two different temperatures (15 °C and 22 °C). For macrophenotyping, we provide dataset regarding (i) rosettes such as measurement of diameter and fresh mass as well as number of leaves just before bolting and (ii) floral stems at the first flower stage such as length, number of cauline leaves, mass and diameter at its base. Regarding cell wall composition, we provide data of quantification of seven monosaccharides and the reconstruction three polysaccharides. All these data are markers to differentiate both growth temperatures and the different ecotypes. They constitute a valuable resource for the community to study the adaptation of A. thaliana ecotypes to sub-optimal temperature growth conditions.

SUBMITTER: Durufle H

PROVIDER: S-EPMC6717163 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Phenotyping and cell wall polysaccharide composition dataset of five arabidopsis ecotypes grown at optimal or sub-optimal temperatures.

Duruflé Harold H Albenne Cécile C Jamet Elisabeth E Dunand Christophe C

Data in brief 20190726

This article presents experimental data describing the morphology and the cell wall monosaccharide content of rosettes and flower stems of five <i>Arabidopsis thaliana</i> ecotypes grown at two contrasted temperatures. Besides, cell wall polysaccharides are reconstructed from data of monosaccharide quantification. The well-described and sequenced Columbia (Col) ecotype and four newly-described Pyrenees ecotypes (Duruflé et al., 2019) have been grown at two different temperatures (15 °C and 22 °C ...[more]

PMID: 31489348

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Project description:Characterization of Indian livestock breeds has mostly been limited to single breed/population focused on either physical description of traditionally recognized breeds/populations or to their genetic description. Usually, morphological and genetic characterization has taken place in isolation. A parallel morphological characterization of genetically identified breeds or genetic characterization of morphologically described breeds is mostly missing, and their conservation priorities have largely been based on solely considering degree of endangerment. This study uses parallel approach based on morphometric and genetic differentiation for classification of five sheep ecotypes of Maharashtra state, and sets their conservation priority using threat parameters, current utilities/merits and contribution to genetic diversity. A total of 1101 animals were described for 7 body measurements for morphometric characterization. From this sample set, 456 animals were genotyped for 25 microsatellite markers for genetic characterization. Conservation priorities were assessed combining genetic and non-genetic factors. All studied traits varied significantly among ecotypes (p<0.05). All morphometric traits exhibited substantial sexual dimorphism except ear length. Males were 42% heavier than females. Madgyal sheep were the largest amongst the five ecotypes. In the stepwise discriminant analysis, all measured traits were significant and were found to have potential discriminatory power. Tail length was the most discriminatory trait. The Mahalanobis distance of the morphological traits between Kolhapuri and Madgyal was maximum (12.07) while the least differentiation was observed between Madgyal and Solapuri (1.50). Discriminant analysis showed that 68.12% sheep were classified into their source population. The Sangamneri sheep showed least assignment error (22%) whilst Solapuri exhibited maximum error level (41%). A total of 407 alleles were observed, with an average of 16.28 alleles per locus. Sufficient levels of genetic diversity were observed in all the ecotypes with observed heterozygosity values exceeding 0.47 and gene diversity values exceeding 0.76. About 6% of the total genetic variation was explained by population differences (FST = 0.059). Pairwise FST values indicated least differentiation between Solapuri and Madgyal (0.025). In terms of genetic distances, Kolhapuri and Lonand were most closely related (Ds = 0.177). The most probable structure clustering of the five studied populations was at K = 5. The study showed a fair congruence between the dendrogram constructed on the basis of Mahalanobis distances and Nei's as well as Reynolds genetic distances. The findings gave highest conservation priority to Lonand and least to Solapuri ecotype.

Dataset Information

Phenotyping and cell wall polysaccharide composition dataset of five arabidopsis ecotypes grown at optimal or sub-optimal temperatures.

Publications

Phenotyping and cell wall polysaccharide composition dataset of five arabidopsis ecotypes grown at optimal or sub-optimal temperatures.

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