Results of the binary logistic regression model.

<p>Results of the binary logistic regression model.</p

The burn probability for the study area estimated by simulation.

<p>The burn probability for the study area estimated by simulation.</p

Variables of RF model.

<p>Variables of RF model.</p

Elevation, historical ignitions (1991–2010), settlements and roads in Longquan.

<p>Elevation, historical ignitions (1991–2010), settlements and roads in Longquan.</p

The study area and the distribution of fuel type in terms of dominant species.

<p>The study area and the distribution of fuel type in terms of dominant species.</p

Box plots of different factors influencing burn probability.

<p>Error bars show 5th% and 95th% percentile of pixels in each bin. Cross symbols show 1st% and 99th% percentile. Fuel, upper row; Topography, center row; Human activity, lower row. Statistics were derived from a full sample of 43526 pixels in the region.</p

Factors’ relative contribution to BP.

<p>Factors’ relative contribution to BP.</p

Dependent and exploratory variables included in this study.

<p>Dependent and exploratory variables included in this study.</p

Nam7 Hydroxylase Is Responsible for the Formation of the Naphthalenic Ring in the Biosynthesis of Neoansamycins

Ten new benzenic ansamycins, 5,10-<i>seco</i>-neoansamycins A–J (<b>1</b>–<b>10</b>), were isolated from the <i>nam7</i>-disrupted mutant strain SR201<i>nam1</i>OEΔ<i>nam7</i>. These are the benzenic counterparts of the neoansamycins, which provide direct evidence that the putative hydroxylase Nam7 is involved in the formation of naphthalenic ring in neoansamycin biosynthesis and connect benzenic and naphthalenic ansamycins for the first time