Metabolome and transcriptome integration reveals insights into petals coloration mechanism of three species in Sect. chang.

Background: Sect. Chang, belonging to the genus, is one of the rare and precious ornamental plants distinguished by a distinctive array of yellow-toned petals. However, the variation mechanisms of petal color in Sect.

Metabolome integrated with transcriptome reveals the mechanism of three different color formations in arils.

Maire yew (), an evergreen conifer, has high ornamental and medicinal value. The arils of this species has three different colors. However, the variation mechanisms of arils color formation remains unclear.

Distribution pattern and change prediction of habitat in China under climate change.

has always been of great significance in promoting human health and ecological restoration. However, human activities and climate change have severely affected habitat, population dynamics and sustainable use of . Little is known about the geographical distribution pattern and their responses to climate change of .

Response of distribution patterns of two closely related species in genus to climate change since last inter-glacial.

Climate change affects the species spatio-temporal distribution deeply. However, how climate affects the spatio-temporal distribution pattern of related species on the large scale remains largely unclear. Here, we selected two closely related species in genus and to explore their distribution pattern.

Development of chloroplast microsatellite markers for (Cupressaceae).

Premise: (Cupressaceae) is a critically endangered conifer native to China, Laos, and Vietnam, with only a few populations remaining in the wild.

Methods And Results: Using a complete chloroplast genome sequence, we designed 70 cpSSR loci and tested them for amplification success and polymorphism in 16 samples. Ten loci were found to be polymorphic and their genetic diversity was characterized using a total of 83 individuals from three populations in China.

Will higher traffic flow lead to more traffic conflicts? A crash surrogate metric based analysis.

In this paper, we aim to examine the relationship between traffic flow and potential conflict risks by using crash surrogate metrics. It has been widely recognized that one traffic flow corresponds to two distinct traffic states with different speeds and densities. In view of this, instead of simply aggregating traffic conditions with the same traffic volume, we represent potential conflict risks at a traffic flow fundamental diagram.